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The Business Analyst's Vital Role in Project Management

A professional (or an expert group) assigned to the function of business analyst is usually in charge of studying and analysing a project's operations for probable gaps in business requirements and inefficiencies in solution delivery. This professional assists the project manager, team and other stakeholders in resolving solution design and implementation difficulties in project management by giving expert counsel, guidance and leadership. 

 

The business analyst is in charge of identifying and resolving problems that affect the business solution and collaborates closely with the project manager to assess current business processes and make ideas for change.

 

  1. Business Analysis in Project Management -
    Essentially, project management (PM) is concerned with executing change in the business environment, while business analysis is concerned with verifying that the change is of the required quality and value. Both of these processes are strategic in nature and can exist on their own. In practice, however, they are linked because no project can be performed strictly according to business requirements unless a thorough analysis is conducted during the project lifecycle. A basis for justifying and achieving the ultimate goal of adding value to business operations is built on a foundation of good project management and insightful analysis (more ideas).

 

  1. The Role of Business Analyst (BA) -
    A change specialist known as a "business analyst" (acronym "BA") manages the process of gaining insight into business processes in order to uncover the causes and effects of failure or bad performance. This person must be familiar with an organisation's present business demands in order to identify and resolve practical issues, as well as to support quick change and innovation through PM. For business improvement, the BA uses a project-based approach to problem-solving and decision-making. 

     

In project management, the job of the business analyst is critical in addressing the expectations and assuaging the worries of all other stakeholders. If the business analysis role had not been filled by a professional, the project would have been doomed to fail. The stakeholders' requirements would then be reduced to the mundane and the project would never produce results that would fix the underlying business problem.
 

The function is essentially characterised by two high-level activities, which are as follows:

  • Identifying the issue - The BA examines the current environment to find any gaps that prevent the company from achieving its goals.
  • Solving problems is a skill - The BA devises a strategy for resolving the issue and pursuing open improvement opportunities.
     

What Does a Business Analyst Do? Key Responsibilities of Business Analyst

Individuals participating in project management and business analysis have diverse tasks, according to different organisations. The function of BA is established and outlined in each project based on the difficulties and needs that the applicant should be able to answer. However, the following are four frequent responsibilities that should be included in a BA job description:
 

  1. Examine Current Business Systems -
    This role entails examining how the organisational structure functions and what factors influence corporate performance and growth. The BA must investigate the present status of the business system and construct a "as is" model, disregarding any changes or improvements.

 

  1. Identify Opportunities for Improvement -
    The analyst uses the as-is model to identify what gaps need to be filled and then creates a "to-be" model to map out a plan of action. This plan offers suggestions and ideas for improving the existing condition to a better (desired) state. It is possible to propose a rough outline of an improvement project.

 

  1. Business Requirements Should Be Documented -
    To acquire and elicit business requirements for additional documentation and project planning, the BA must work with business users (those who act within or are affected by the business system to gain a benefit or solve an issue). This expert also thinks about the technical limitations.


    There are several elements that influence the sort of document to be prepared and the requirements that must be contained in each. These include the type of project, the demands and expectations of stakeholders, the needs of a business and organisational policies and processes. Business analysts generate and use documents such as a requirements management plan, use cases, user stories and a project vision document throughout the project's life cycle.

    Despite the fact that there are several papers linked with projects, business analysts do not generate all of them for each one. In practice, depending on the nature of the project, most BAs choose to prepare only the necessary documentation. Business analysts keep a list of needs at each stage through documentation. They also provide frequent updates to the technical and business departments.

     
  2. Acceptance of Deliverables should be made easier -
    While the project is in progress, the analyst must assist in the acceptance process, which verifies that the deliverables are constructed in accordance with the original specifications. During product testing and assessment, the BA position is beneficial in terms of quality assurance and control, as well as communicating the status of deliverables to consumers.


     
  3. Gathering of Requirements -
    Requirements are a crucial component of every project since they serve as the basis upon which the project is developed. The requirements collecting process is essentially a collaboration between the business analyst, stakeholders and the development team. Stakeholders must explain their demands and the developer must anticipate those needs.


    In this situation, the function of a business analyst is to assemble such demands while recording inquiries about business requirements. Some business customers believe that developers can design a viable product based on unknown or unspoken requirements. This, however, is impractical. All specifications should be given and documented in a reference document.

    A business analyst must grasp the demands of a certain setting and match them to corporate objectives. In addition, the analyst must successfully convey the requirements to the development team and stakeholders. To do so, the needs should be gathered and then put down in a manner that both sides can comprehend.

 

  1. Requirements Elicitation -
    A business analyst does not always have the ability to discover business requirements. These criteria are difficult to find because they are not documented anywhere. This is due to the fact that business needs remain in the thoughts of clients and stakeholders. Other sources of requirements include input from end users and yet-to-be-conducted surveys.


    As a result, business analysts must gather business and technical requirements from stakeholders. Eliciting requirements is critical to any project since mistakes made during this phase are frequently connected to project abandonment or failure. Adequate preparation and research for requirements elicitation are critical in avoiding such errors.

    The goal of elicitation is to properly establish the business requirements, needs, risks and premises associated with a particular project. To ensure an effective grasp of company requirements, a business analyst must identify essential stakeholders.

 

  1. Determines Functional And Non-Functional Needs -
    One of the objectives and obligations of business analysts is to ensure an acceptable final result. Non-functional requirements define how a project should work, whereas functional requirements define what the intended project should do. It is the role of a business analyst to determine, extract and anticipate these needs.


    To do this, substantial study and interaction with both present and future end users is required. Furthermore, an effective business analyst should think about future technology advancements and how they can affect the project.

    The functional and non-functional criteria can provide valuable information about the final product's capabilities. Non-functional needs become more important as the project progresses.This is due to the fact that the operation of a project may be enhanced after it is deployed in the real world.

 

  1. Analysis of Requirements -
    The process of arranging and prioritising gathered requirements is referred to as requirement analysis. Sometimes the requirements of a business are too large to address as a whole. As a result, the business analyst performs a variety of jobs and operations targeted at splitting and categorising business needs.


    The goal of requirement analysis is to identify, specify, record and analyse requirements related to specific business objectives. This enables business analysts to develop a precise and unambiguous specification of a project's scope. This allows you to analyse the resources and timeframes needed to finish a project.

    An accurate business requirement analysis leads to a better grasp of business requirements. Furthermore, it assists a business analyst in breaking down those demands into clear and comprehensive specifications on which all stakeholders may agree.

 

  1. Converts Business Requirements into Detailed Requirements -
    A business analyst is responsible for converting stakeholders' business demands into precise and functional requirements that make sense to both the tech and business sides. To fulfil this task, the analyst begins by accumulating all of the business requirements.


    As the BA, you must clarify business issues and confirm every aspect with stakeholders. To do this, all stakeholders and their demands must be recognised. Following that, the BA establishes corporate objectives, a strategic purpose, vision and procedures and compares these to recognised requirements and difficulties.

    The BA examines possibilities and finds solutions to business challenges by completing this analysis. The proposed solutions are sent to the relevant people for assessment and their response is examined and implemented as needed. Finally, a complete needs list is generated.

 

  1. Serves as a liaison between stakeholders -
    A business analyst cannot create specific requirements on their own. The BA, on the other hand, collaborates with business stakeholders and specialists such as executives, IT professionals and end users to assess, elicit and validate requirements. The analyst communicates with the project's customer or company as well as the development team.


    As a result, good cooperation and communication skills, as well as effective bargaining talents, are vitally required in this profession. For example, the development team may have doubts about certain components of a project. Typically, they are unable to obtain direct information from the customer. According to procedure, they should notify the business analyst, who should get the necessary information from the customer.

    Although it is not required, a BA should have some understanding of many industries, including IT. This knowledge helps the analyst to conduct analytical activities efficiently and communicate difficulties and needs to stakeholders and experts..

 

  1. Extends Project Specifications -
    One of the most important tasks of a business analyst is to define project information. This entails analysing the needs and ensuring that project implementers have and comprehend all of the information needed to build and implement procedures and solutions. To do this, the BA collaborates with all stakeholders to ensure their needs are met.


    Similarly, the analyst leads a lengthy discussion with the development team about the underlying problem and what they need to construct. Notably, this discussion occurs throughout all phases of project development to ensure that all business demands are recognised and the end result is satisfied. Obscurity is a major factor in the failure of many undertakings. As a result, the BA must write project requirements for both stakeholders and developers so that all parties understand what needs to be executed.

    In most circumstances, the BA creates and communicates the precise requirements that have been authorised by stakeholders to the development team. A business analyst should ensure that solutions are properly presented in order to achieve the desired results

 

  1. Assists with project implementation -
    In most cases, a business analyst is only involved in the project's implementation phase indirectly. Nonetheless, anytime worries or problems develop during implementation, the analyst is inevitably called upon. This is due to the fact that some difficulties may result in new or extra demands that should be conveyed to stakeholders.


    Coordination of a problem-solving meeting to debate on and identify how particular demands may be met with newly identified restrictions is one example of business analyst help. Because of technological, functionality, or compatibility difficulties, planned processes and procedures may require evaluation throughout the implementation stage. In such circumstances, the business analyst must collaborate with the relevant stakeholders and the development team to devise alternative methods of delivering predicted objectives while conserving existing resources.

    As implementation tasks are completed, business analysts get increasingly involved in some projects. They are responsible for assisting clients in accepting the ultimate product. This function may include testing the new product, training customers and gathering feedback. It may also entail determining how the client will use the solution to fulfil certain jobs and activities.

    The business analyst's job in project implementation concludes when the solution is delivered to the customer and users can effectively access and use it. When new needs and requirements are uncovered, the analyst is called in and the complete project cycle begins.

 

  1. Helps with User Acceptance Testing -
    Business analysts are responsible for more than simply defining business requirements and project implementation. A business analyst's primary tasks include testing the implemented solution. The final stage of the testing procedure is user acceptability testing. The BA uses testing to ensure that the new product works as intended by stakeholders.


    Furthermore, testing is performed to ensure that all user needs are met. Notably, user acceptability testing is the sole approach to determine these elements (UAT). Its primary goal is to determine if the new solution can do the needed duties in a real-world scenario.

    A business analyst should utilise testing methodologies to design user-testing scenarios that will aid in the UAT process during the product development and deployment stages. If the new product does not deliver the intended outcomes, it is because developers designed the product based on their own knowledge because some criteria were not successfully communicated.

 

  1. Solving Issues -
    Pro business analysts see difficulties as opportunities to provide value to firms and customers. A BA breaks down a problem into its fundamental components in order to solve it. Following that, each ingredient is thoroughly examined in order to determine the component that is causing a problem. Critical thinking is one of the abilities used by business analysts while analysing an issue.


    Aside from critical thinking, problem-solving entails using analytical and logical procedures to identify underlying causes. As a result, a business analyst may provide solutions that ensure the eradication of recognised difficulties. The problem-solving process includes identifying a problem scope, which allows a business analyst to determine whether the issue can be properly solved.

    The scope determines any viable solution. Obtaining information from stakeholders and resolving ambiguities are essential procedures that business analysts must go through in order to come up with a feasible solution. As a result, problem-solving is not a black art, but rather a rational and analytical process that can be evaluated, qualified and broken down to uncover core reasons.

 

In light of this set of obligations, an applicant claiming to be a BA must complete the following requirements:

  • Recognize the entire business cycle.
  • Have the ability to operate successfully at different levels of detail
  • Collaboration with teams and top management is a must.
  • Make problem-solving and decision-making easier.
  • Participate actively in project activities such as the development of business cases and the elicitation of requirements.

 

Project Manager Vs. Business Analyst

Despite the fact that business analysis and project management are closely related disciplines, many organisations struggle to define roles that are precise and thorough. Some project managers regard the business analyst function to be necessary but separate from the project management role. Others see both roles as distinct, but the degree of differentiation is uncertain and not necessary for their PM attempts to succeed. 

In reality, the roles are distinct. When one individual – operating at several levels – analyses and manages one and the same project, the distinction becomes oblique. In other circumstances, two people take on the duties and collaborate on the project to ensure its success and additional value.

While a project manager is ultimately responsible for project planning, control and delivery, a business analyst ensures that the PM activities are of high quality. The analyst investigates and measures the value of the project output if the manager plans out and manages project implementation. The manager chooses a road to success and the analyst finds and removes ineffective activities along the way. Both professionals eventually work to improve PM's performance and commercial value.

 

Competency Differences

Some professionals believe that successful project management and business analysis require the same set of skills and abilities. People allocated to these executive positions must develop and apply these talents in order to plan, deliver and add value to their initiatives. An organisation that wishes to accomplish business change through PM can simply enlist the help of professionals with the necessary skills to achieve the desired results. But the important question is if that organisation believes that the business analyst function necessitates one set of talents while the project management role necessitates a different set of skills. 

Although many of the abilities and competencies required for the roles are similar, the manner competence expectations are set vary from one role to the next. For a project manager, for example, leadership is a key competency that involves visioning, motivation and communication to set, direct and balance the way the team works. Leadership for a BA entails being able to establish positive relationships with the team through guiding, consulting and coaching. The manager leads the team in executing necessary change, while the analyst provides leadership to ensure that the change is of the anticipated quality.

 

Conclusion

Business analysts' duties and responsibilities are critical in meeting stakeholder expectations and delivering a credible solution. Project management and business analysis are strategic procedures that take opposing views on a project. Essentially, project management strives to provide the services, products, or outcomes of a project in order to meet the objectives. Business analysis, on the other hand, focuses on understanding stakeholders' needs and designing solutions that will answer those demands.

While these two processes can exist separately, a project cannot be conducted successfully in accordance with the demands of stakeholders unless rigorous analysis is performed throughout the project's lifespan. This emphasises the notion that project success is the outcome of strategic and high-level cooperation among many professions.

Business analysts not only assist businesses in identifying their requirements and challenges, but also in improving their goods and services. This emphasises the tasks and responsibilities of a business analyst in project management. They are significant assets whose contributions are critical to the effective implementation of feasible solutions.
 

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Requirements for an Effective Program Management Office

"The proper role of a PMO is to assist everyone to become a good project manager," according to many (Dean Meyer). PMO workers are typically disregarded and restricted to preparing reports and revising plans using non-standard tools and templates, despite the fact that they provide programme and project management support. As a result, project plans are disconnected and various reports are produced that do not give an organisation the "helicopter view" it requires to make sound decisions.

CIOs understand that in order to fulfil their mandate of improving the efficacy and efficiency of IT services while also leading business-driven, IT-enabled transformation, they must have the right people, processes and tools in place.

If your company is tiny, you might be able to get by without a Project Management Office (PMO). However, if your company is working on many cross-functional projects at the same time, you'll almost certainly need an Effective Program Management plan. A PMO serves a variety of functions within an organisation, although these duties vary widely depending on the size of the company and the complexity of the projects it manages. Good people, processes and tools combine to make a successful PMO.

 

What Is the Best Way to Start a Project Management Office? (PMO)

A Project Management Office (PMO) is an organisation that oversees project management from a central location. A PMO is frequently involved with or accountable for programme and portfolio management.

"An organisational structure that may be used to standardise portfolio, programme or project-related governance processes and promote the sharing of resources, methodologies, tools and techniques," according to the Project Management Institute.

 

What are the benefits of establishing a project management office?

Starting a project management office has numerous advantages, including:

  • Creating standardised project management and delivery practises.
  • Developing a consolidated knowledge database to record and share lessons learnt.
  • With a single point of contact, you can improve transparency, communication and reporting.
  • Project planning and execution must be in sync with corporate strategy.
  • Putting in place standard operating procedures and practises.
  • Management of shared resources in a cost-effective manner.
     

What is the best way to start a project management office?

Starting a project management office can be approached in the same way that any other project is approached.

1) Create a business case 

To justify the deployment of a planned project management office, a business case should be created. Before moving forward, it's critical to gain corporate buy-in and prepare to ensure that the project is worthwhile.

The following will be outlined in the business case:

  1. The PMO's goals are as follows:
  2. The PMO's advantages and disadvantages
  3. Any hazards associated with establishing a PMO
  4. Estimated implementation costs
  5. An estimated estimate of the project's duration.
  6. The business's potential influence
  7. Any more pertinent information

The business case should include a decision on the PMO model to use. The following are the three most frequent types of PMOs:

  • Supportive: A supportive PMO acts as a consultant or advisor to the organisation. In general, it serves as a knowledge hub and repository for best practises, training and lessons learned.
  • Controlling: A Controlling PMO serves as both an auditor and a consultant. It takes it a step further by ensuring that best practises and standards are adhered to. Controls and governance norms are frequently established.
  • PMO Directive: A PMO Directive is directly accountable for project execution. Rather than reporting to a separate function or organisational group, project managers report directly to the PMO.
     

2) Create a clear direction.

A clear directive will improve portfolio, programme and project governance and delivery across the organisation. The PMO may develop an effective delivery capability framework to oversee the realisation of objectives and benefits by giving it the power to advise the CIO on the optimal collection of initiatives, programmes and projects to optimise business value.
 

3) Make each service valuable.

The PMO must be visible to C-level executives, offering services to the CIO.

  • Portfolio governance and programme and project delivery monitoring should be provided through the Delivery Management service.
  • For IT investment decisions, the Portfolio Management Analysis service should provide analysis and decision support capabilities.
  • Professional growth, skill upgrading and training should be provided by the Program and Project Management Skills & Capability Assurance service.
  • To promote and measure delivery quality, the Practice Management service should design and maintain best practice techniques, tools, process and standards.
  • Through communications, reporting and decision support tools, the CIO Administrative Support service should coordinate the efforts of the CIO, CFO and business partners.
     

4) Make a clear goal for yourself.

To maintain benefits and maximise return on investment, the PMO needs a comprehensive grasp of the organisation's business requirements as well as a benefits management strategy. The PMO should be knowledgeable on the organisation's strategic and business drivers so that it can align initiatives, programmes and projects with these drivers and operate with a defined, measurable purpose.
 

5) Make sure you have the correct people on the job.

Maintain a cooperative working connection throughout the lines of business of the corporation. For the duration of the programmes and projects, provide matrix resource management. Provide service heads with line managers to enable the continual improvement of best practises for new and improved services.

 

Implementation tips for a successful outcome

Consider the following suggestions to improve the odds of your new PMO's success:

  • Obtain long-term buy-in: Creating a PMO will require a big, long-term transformation in the business. To guarantee that individuals are dedicated to the project's success, it's critical to focus on change management and stakeholder involvement.
     
  • Prioritise early victories: It's important to recognise, achieve and enjoy some quick victories. While implementing these changes, this will help to create dedication and morale. When a milestone is reached, for example, it should be recognised and celebrated. When the PMO's standard operating policies are established, this could be as simple as sending out a newsletter.
     
  • Maintaining motivation in the face of adversity: Any big change might be difficult to implement. There will very certainly be times when things appear to be moving slowly or not at all. Maintaining a good attitude and focusing on keeping stakeholders engaged and committed to the end goal are critical.
     
  • Make sure you've defined your success criteria: As previously stated, the benefits of a PMO should be included in the business case. It's critical to have quantifiable outcomes that can be tracked and reported on. Will the PMO, for example, standardise project management reports? If that's the case, there should be a deadline and a mechanism to track whether or not it was accomplished.
     
  • Allow for enough flexibility for the PMO to grow and adapt: The PMO must adapt as the company develops and changes. For example, a PMO may begin as a Supportive PMO but evolve into a Directive PMO over time.

 

Do you require a project management office (PMO)?

Take a good, hard look at how your organisation runs to determine if different portions of it are already working together across systems and groups in harmony, or if they operate in silos with different systems and don't often communicate with one another.

If your organisation falls into the latter category, a PMO can assist you. A PMO may also be appropriate for your organisation if you're preparing to launch any major projects or strategy changes, or if your current strategy isn't working.

However, what corporations consider PMOs today may not be what they see in the future. According to Gartner, as a result of the digital revolution, the number of IT PMOs will fall, albeit some may evolve into change management functions and become part of the C-level strategy function.

According to the paper, collaborations between humans, smart machines and AI are expected to eliminate "approximately 80% of the 'work' that forms the bulk of today's project management discipline, practises and activities" by 2030. Adapting behaviour and procedures is what this entails for PMO experts. For businesses, this means adapting to changes in the profession for the benefit of their businesses – and their bottom lines.

 

Conclusion

"At the end of the day, PMOs are in place to help organisations provide value to their stakeholders through Effective Program Management", says Brian Weiss, vice president of the Project Management Institute's practitioner career development.

 

According to PM Solutions data, 85 percent of businesses had a project management office in 2016, up 5% from 2014. They also discovered that 30% of businesses without a PMO intend to install one.

 

A PMO ensures that company procedures, practises and activities are carried out correctly – on schedule, on budget and in the same manner. "Project management offices exist to assure project and programme success, which is crucial since firms generate value through projects and programmes," Weiss explained. "How they do that is determined by their position inside the organisation."

 

According to PMI's 2017 Pulse of the Profession, firms that link their enterprise-wide PMO to strategy have 38 percent more projects that accomplish their initial goals and business intent than those that don't. They also had 33% fewer projects that were labelled failures.
 

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6 Kanban Board Rules for Streamlining an Effective Workflow

Kanban-based business process management can only be effective if it is applied correctly. Sticking post-its on a board isn't enough for a good Kanban system. It's a way of thinking — a shift toward productivity, order and waste elimination through a continual stream of work. The six Kanban rules can help in this situation.

To maintain a consistent flow of work, leadership and personnel must have a high level of trust. However, expectations must be set in order to build a high degree of trust inside the organisation. We need a handbook so that everyone on the team understands how to complete their job correctly. The six Kanban guidelines will assist teams in implementing a successful and effective Kanban system.

If you're serious about Kanban, you'll make sure that these six guidelines are followed consistently in every business process you run.

What exactly is kanban?

Kanban is a well-known framework for agile and DevOps software development. It necessitates real-time capacity communication and complete work openness. On a kanban board, work items are visually depicted, allowing team members to see the status of each piece of work at any moment.

 

Overview of kanban

Kanban is extremely popular among today's agile and DevOps software teams, however the kanban work approach is over 50 years old. Toyota began streamlining its engineering processes in the late 1940s using the same model that supermarkets used to stock their shelves. Supermarkets have just enough inventory on hand to match customer demand, which improves the flow between the store and the customer. 

The supermarket gains significant inventory management efficiency by reducing the quantity of extra stock it must hold at any given moment since inventory levels match consumption patterns. Meanwhile, the store can assure that the product a customer requires is always available.

The purpose of implementing this method on Toyota's production floors was to better align their large inventory levels with real material consumption. Workers would transmit a card, or "kanban," between teams to convey capacity levels on the manufacturing floor (and to suppliers) in real time. 

A kanban was passed to the warehouse when a bin of materials utilised on the production line was emptied, detailing what material was needed, the exact amount of this stuff and so on. A new bin of this material would be waiting in the warehouse, which they would then transport to the production floor, who would then send their own kanban to the supplier.

The supplier would also have a bin of this specific item ready to be shipped to the warehouse. While the signalling technology for this process has improved since the 1940s, the core of it remains the same "just in time" (or JIT) manufacturing method.

 

Key Kanban Concepts and Practises

Of course, the preceding explanation of Kanban boards and cards is rather basic, but it does assist to show how Kanban boards are used in general. You can visualise nearly any process, at any level of your company, by moving cards from left to right through defined steps in a process and expressing task specifics within the cards.

Kanban is highly useful since it is so adaptable, but there are several important Kanban concepts and practises that will help you succeed. 

(Note: There are numerous ways to describe Kanban; the goal of putting the basic parts in this order is to simplify the common concepts, not to establish a new definition.)

 

The Kanban Six Rules

Let's look at the six Kanban guidelines and how they apply to both traditional manufacturing and knowledge work.

1) Never Pass Defective Products

Products that do not satisfy the required standards and degree of quality should not be passed via upstream procedures. Defective products should be taken off the production line and handled separately. This ensures that your consumers receive only high-quality products, reduces waste and reduces customer complaints.

Policies assist in ensuring that the target level of quality is maintained throughout the process. For the manufacture of tangible items, this is quite simple. However, the same may be said about knowledge work.

In software development, for example, applications are subjected to extensive quality assurance testing before being deployed. Functional, regression, integration, performance and stress testing are just a few examples. Only once the team decides that all features and enhancements must pass these levels of testing can they be released to market.

 

2) Take only what you require.

In order for a Kanban implementation to be successful, downstream processes must only pull what they require. Overproduction is avoided, costs are reduced and operations are more responsive to market demands.

For manufacturing processes, applying this rule as one of the six Kanban rules is fairly simple. We can think of knowledge work as simply working on customer inquiries or orders when they come in. This also entails adhering to your backlog's priority.

 

3) Produce the Precise Quantity Needed

Taking exactly what you require would result in the production of only the exact quantity of things required. What will you do with the additional inventory if you overproduce? You're stockpiling more expenses. These costs include opportunity costs resulting from the resources and money spent on the item's construction, as well as storage and transportation costs. You also incur the danger of the item degrading or becoming obsolete.

What does this mean in terms of knowledge work? In this case, having a Minimum Viable Product (MVP) mindset is beneficial. You don't need to provide a print function if a consumer wants the ability to download a report from your app. Concentrate on the bare essentials.

You can improve the product as the market requires it or as your product direction directs you.

 

4) Raise the Bar on Production

To maintain a consistent flow of work, all Kanban system units should only generate the amount of items determined by the limiting contributor's capability. In a manufacturing context, machine A can generate 500 units, but its subsequent step, machine B, can only process 300 units at a time. 

Machine B will encounter a bottleneck if we allow machine A to generate 500. To remedy this problem and maintain a steady flow of work, we must limit machine A's production to 300 units. To learn how you may level your manufacturing activities, look into Heijunka, another Lean idea.

One can identify levelling in knowledge work by assessing the capability of each stage in your Kanban. When you see a bottleneck, you can relieve the pressure by adding resources or limiting your work-in-progress based on your limiting contributor.

 

5) Optimise the production process or fine-tune the production

After the team has completed their Kanban installation, the next goal should be to use their Kanban system to identify pain areas and possibilities for improvement. This would necessitate a closer examination of how work is carried out and the evaluation of their performance.

Lead time, cycle time and throughput are examples of Kanban metrics that can be used to provide a quantitative and objective assessment of a team's work. Teams can use a cumulative flow diagram to identify bottlenecks. These metrics and reports are built-in to online Kanban applications like Kanban Zone. Teams must make informed judgments about how to improve their process using the tools available to them. They must look for waste-producing activity.

This can manifest itself in a variety of ways, including delays, faults, rework and wasteful handoffs, to mention a few. Regular team retrospectives are essential for fine-tuning production because they allow teams to discuss their experiences, pain spots and improvement suggestions, as well as devise solutions to solve them. Because the process is leaner, work-in-progress items drop as inefficiencies reduce.

 

6) The Process Should Be Stabilised and Rationalised

Your process gets stability as you ensure quality, level production and optimise it. Standardisation is made possible by a reliable procedure. You should document your process so that everyone on your team has a clear idea of how things should be done. Policy should be used to handle any deviations from the process requirements.

Your team will be able to work with predictability and consistency if you make your standards apparent. As you continue to fine-tune your process, your policies and standards may alter. Conduct regular team reviews to keep your process up to date and your Kanban system more stable.

 

Conclusion

Kanban is one of the most widely used agile software development strategies today. Kanban provides extra work planning and throughput benefits to teams of all sizes.

Kanban converts information that would normally be communicated through words into brain candy. Kanban clarifies what's important by putting all of your "to-dos" into cards on a board, allowing you to stay focused on the most critical tasks. It creates a shared location where everyone working on a project may go to get the most up-to-date information.

Instead of chatting about the work, teams can spend more time completing it. Kanban also helps to eliminate waste and increase value by standardising cues and refining procedures. Not only can you communicate status, but you can also give and receive context for the job by seeing how your work flows inside your team's workflow.
 

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses
 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses
 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses
 

DevOps Training:

- DevOps Certification Training Courses
 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses
 

Connect with us:

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Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

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Complete Guide to Six Sigma: Everything You Need to Know.

In this blog, we will dive deep into the concept of Six Sigma and other significant factors lingering around the term. 

What is Six Sigma?

Six Sigma is a set of top-notch quality-control systems or tools that businesses, be it small-scale or large-scale, leverage to eradicate fallacies and improve workflows, thereby enhancing profits. The process utilizes statistical data rather than guesswork; hence, Six Sigma is more than just training.

If you wonder whether Six Sigma is widely popular, then the answer is yes. This method has been performed within a vast industrial sector to achieve soft and hard money savings while enhancing customer satisfaction. One of the best examples to support the statement is the 1999 General Electric (GE) Capital that could save $2 Billion with the program.

 

Fundamental Principles of Six Sigma

Why implement Six Sigma

Here we will discuss five critical principles of the system.

  • Flexible and Responsive

Change and Six Sigma go hand-in-hand, as the process recognizes flaws and performs on filtering the same. The experts don't have a choice to linger around failed methods. Though change might be tiresome, eventually, the future it holds is of significant weightage.

  • Customer-centric

The fundamental target of Six Sigma is to deliver top-notch outcomes and maximize benefits to the customers. According to market or customer demands, the system develops a precise quality standard in the early phases of projects. In other words, let's say that the approach is customer-centric.

  • Precise communication and training teams

A vital point for Six Sigma to have triumphed is to have an entire team proficient in the technique, have a more profound goal insight, and information about the project's progress. It creates a massive transition in the work milieu as it needs trained focus on management to execute the whole process seamlessly. 

  • Eradication of restrictions and variations

Once the expert identifies a flaw, they will find different ways to obliterate problems. These often come with a lengthy, complicated procedure that may lead to new defects and resource waste. As an innovative method, Six Sigma can help achieve a streamlined and quality-controlled process.

  • Identifying and resolution of issues

 

During process execution, it's natural to be stuck in a tumult of modifications, resulting in the loss of focus on the initial issue. With Six Sigma, obtaining data that shows where a particular problem lies helps in rectifying that point.

Workflow of Six Sigma:

Six Sigma consists of 5 workflow phases - Define, Measure, Analyze, Improve and Control (DMAIC), followed for quality boosting and issue minimization. The explanation of each step is as follows:

  1. Define

The main aim of the 'Define' level is to summarize the project plan. This phase helps discover all the necessary data to break down a project or problem into the actionable stage. It also focuses on the target needed for the project enhancement, its scope and customer demands.

An input to the 'Define' phase comes from the Voice of Customer (VOC), the Voice of Business (VOB) and the Voice of Process (VOP) to help identify the project. Sometimes, the Voice of Employees (VOE) also comes into Six Sigma project enhancement actions.

The crucial element of this stage is Project Charter - an initial blueprint document for any project outlining key facts.

  • Business case
  • Problem statement
  • Goal statement
  • Scope of project
  • Team and their responsibilities
  • Time plan
  • Estimated project benefits
  1. Measure

Experts obtain data relevant to the project scope in the Six Sigma 'Measure' phase. The phase focuses on parameter identification, measurement methods and performance using wide-range approaches. Once receiving the data, frequency distributors will analyze it.

To have an insight into the data distribution, this phase leverage histogram. The choosing of data analyzing tools depends on the nature of data, whether normal or non-normal. Tools used during this phase include process capability, run charts, process flowcharts, gage R&R and benchmarking.

  1. Analyze

The critical factor of the 'Analyze' level is to identify the main reason behind business inefficiency. It discovers the gaps between actual and goal performance, identifying its opportunities and cause for business enhancement. This phase begins with exploring potential reasons for the root cause. These issues are then verified and validated using statistical and hypothesis tools.

The phase needs utmost care to discover and verify the root issues as the efficacy of process enhancement via the Six Sigma project lies in the actual finding of root problems. Some of the widely used tools in this phase are scatterplot, fishbone diagram, 5 Whys and more.

  1. Improve

In this Six Sigma phase, the process improvement is by identifying possible solutions, execution methods, test and implementation of the solution for improvement. Here the process owners are consulted along with suggestions offered to them. Moreover, the phase execution plan will be circulated to relevant shareholders.

The development of this plan is to alleviate the risk and include customer feedback.  Defect eradication tools used are Pugh matrix, brainstorming, simulation software, prototyping, mistake-proofing and piloting.

  1. Control

The primary purpose of the 'Control' phase is to produce a detailed solution monitoring plan, thus ensuring that the required performance is maintained. It defines and validates the monitoring system, creates standards and procedures, verifies profit growths, and communicates to the business.

The most vital part of Six Sigma's control stage is to offer training on new changes to all significant shareholders. Tools used in this stage are control plan, process sigma calculation, cost-saving calculations and control charts.
 

Six Sigma Certifications:

People can obtain Six Sigma certification, which verifies their professional skills. Awarding of these certificates is through a belt system which is as follows:

  1. White belt: This consists of people who have not undergone formal certification or training. This belt offers experts a fundamental framework, allowing them to participate in specific quality-control and waste minimization projects.
  2. Yellow belt: Here, people undergo extra training, allowing them to become contributing project team members.
  3. Green belt: Those who qualify for this level must participate in a complete course that provides training in process improvement methods. People with green belt certification often become project leaders.
  4. Black belt: Those certified green belt individuals can move up to this level. Successful people can classify and deal with complex projects and jobs. They undergo training about tackling tremendous changes impacting one's firm via lean Six Sigma projects.

 

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses
 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses
 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses
 

DevOps Training:

- DevOps Certification Training Courses
 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses
 

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Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

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Certification grows expertise, trust, and career prospects.

According to a recent PwC poll, qualified  project managers manage more than a third of high-performing projects. Additionally, firms with more than one-third  Project management qualified managers had much higher project success rates than those without. Plus, there's more. In 2016, Project management was the seventh highest-paying certification.

Regardless of the sector, project management is a critical aspect in determining whether a project succeeds or fails. More and more companies throughout the world are seeking project managers who are not only skilled and experienced, but also have the necessary credentials. PMP Certification is one of several project management certifications that are available on the market.

 

Benefits of doing a Project Management Certification:

  1. Enhances the resume's worth -
    Throughout your career, you might seek a variety of professional qualifications. But, of all of them, the  Project Management Certification is the most valuable. Interviewers looking to fill a project manager role are aware of this. As a result, they prefer profiles that have  Project Management Certification over those that do not. Jobs in project management are in high demand. 

    As a result, in most circumstances, multiple persons apply for these positions. Interviewing and evaluating the potential of all applicants takes time and resources for the company. As a result, they like to screen out as many people as possible prior to conducting project management interviews. Furthermore, many companies are making the  Project Management Certification mandatory. It means you won't be able to apply for various jobs unless you have these credentials.
    If you want to grow in your current company, the  Project Management Certification can be quite beneficial. It puts you miles ahead of your peers in terms of job advancement. A certified manager can also perform significantly better in a grueling project management interview than a non-qualified manager.

     
  2. Recognized by the industry -  
    Project Management Certification is a globally recognised credential. Many certification programmes are narrowly focused on a single area or region.  Project management, on the other hand, is a global certification that may be used in any business and in any location. So, regardless of your professional background or industry, adding the certification to your resume can help you advance.

    What is the market value of a  Project Management Certification? Data shows that as a company's number of certified project managers grows, so does the success rate of its projects. Companies also realize that qualified managers are more likely to complete projects on time and on budget.

     
  3. Assists you in mastering crucial skills -
    On the employment market, there are numerous project managers to choose from. How do you stand out from the crowd in such a situation? What better way to go about it than by earning your  Project Management Certification? It improves the appeal of your CV to employers. More importantly, PMBOK certification teaches you critical abilities that will help you advance in your job.

    The  Project Management Certification has strict requirements. As a result, passing this exam without substantial preparation is difficult. It also necessitates that you master the material's practical application. Obtaining the  Project management credential will necessitate the acquisition of a number of hard and soft skills. It improves your understanding of basic project management procedures, tools, strategies and approaches.

     
  4. Contributes to an increase in income -
    The most appealing aspect of  Project Management Certification is the potential for project managers to earn a greater income. The average remuneration of certified project managers is significantly greater than the industry average. According to a recent PMI survey, the average median income for a certified project manager is $108,000. A non-certified project manager, on the other hand, earns only $91,000 on average.

    According to another study, certified project managers make about 20% more than non-certified counterparts. This tendency can be found all across the world, even in Middle Eastern countries like Saudi Arabia and the UAE.  Project management certified individuals earn significantly more than female certified professionals in other industries.

     
  5. Provides opportunity for networking -
    Around 773,840  Project Management Certification holders are now active around the world, according to PMI. When you join the PMI, you become a member of the club. PMI holds meetings for members in major cities throughout the world on a regular basis. These gatherings are also held to assist participants in obtaining Professional Development Units (PDUs). Continuous Credential Requirements, or CCRs, necessitate the use of these units. These are required to maintain the certification for the next three years.

    There are numerous advantages to participating in such networking events. During these sessions, anyone interested in this certification can learn about any new work prospects that are shared by those who value it.
    At PMI meetings, there is a designated time for job postings.  Project managers can also communicate with each other in various online and offline communities. Professional networks can be formed through these communities. This certification also qualifies a person to mentor other PMI  Project management candidates.

     
  6. It demonstrates your commitment to the job -
    As previously stated, some requirements must be satisfied in order to obtain  Project Management Certification. To be eligible as an associate, you must have 60 months of experience. A bachelor's degree, on the other hand, necessitates 36 months of professional experience. The  Project Management Certification has strict requirements. A potential employer recognises that passing the exam necessitates commitment to the job. It shows that you are committed to pursuing project management as a long-term professional goal.

    An employee who invests in his or her education is a valuable asset to the organization. Your desire to improve your professional abilities, credentials and knowledge is symbolized by a  Project Management Certification. It also aids in commanding respect from colleagues and team members.

     
  7. Assist You in Becoming a More Effective Project Manager -
    You will have a better knowledge and ability to handle projects after going through rigorous training and testing. Project management credentials can assist you in learning and using the most up-to-date project management technology. You will become a better project management professional if you have a good understanding of project management tools, frameworks, and methods. It helps you appear as someone who is well-versed in industry best practices as well as having hands-on implementation expertise.


     
  8. Assess the Members of Your Team -
    The nicest part about obtaining a PMP certification is that it allows you to evaluate your team members more effectively. It will provide you some excellent abilities for determining whether or not a potential team member will work well with everyone.


     
  9. Improves risk management abilities -
    "Take calculated risks, since it's the impact that matters." A risk is now defined as something that is unknown and unexpected. It may or may not occur during the course of a project. However, if this occurs, it may have a beneficial or bad impact on your project. 

    You will have enhanced risk management abilities as a PMP® certified project manager, which will assist you in recognising and analyzing possible risks, minimizing threats, and capitalizing on opportunities. You can improve and defend your organization's requirements using this talent. This improves the quality of your product, which is obviously good to you, your team, and the business.

     
  10. Provides the opportunity for lifelong learning -
    "To succeed in management, you must learn as rapidly as the world changes." As a result, project management success depends on constant learning. As a project manager, you will get in-depth expertise that can be shared with the business and its employees to ensure long-term success. 

    With extra project hands on deck, you'll be able to broaden your experience, since various projects necessitate different techniques, technologies, and talents. Furthermore, when you become a PMP® certified professional, you automatically become a member of PMI, which expands your access to professional development opportunities. You will improve your performance and marketability as a result of this.

     
  11. Improves your problem-solving abilities -
    "A crisis is an opportunity to put your best foot forward." People will seek you for professional guidance if you are the best. Because your PMP® certification demonstrates your project management competence, you will immediately be given the title of issue solver. You will be entrusted with tackling challenging challenges on a daily basis while heading a project. With PMP® certification, you'll acquire a variety of creative and inventive problem-solving tactics and strategies that will help you secure the project's success.


     
  12. Improves the quality of your leadership -
    "Leadership is a deed and an example, not a title or a position." You must bring your team members together as a single entity as a project manager. In order to accomplish the assignment, you must first determine their strengths and shortcomings. 

    Project managers are thought to be at the top of their game when it comes to fulfilling deadlines, controlling expenses, and winning the respect of their team and management. You'll discover a variety of leadership styles that you may adapt to your project's goals or objectives.
     

Concluding Thoughts

The PMP Certification will assist you in getting required understanding and identifying forthcoming requirements from the start, allowing you to eliminate any unneeded roadblocks to a project's successful completion. You will also play a critical role in your business with improved decision-making, communications, team involvement, and procedures, as well as the capacity to secure management buy-in for initiatives.

Some may consider  Project Management Certification to be costly, time-consuming and challenging. However, many recruiting gurus regard Project Management Certification as a valuable credential that enhances your resume's credibility. It also assists you in developing the necessary abilities to succeed in your chosen field.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses
 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses
 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses
 

DevOps Training:

- DevOps Certification Training Courses
 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses
 

Connect with us:

Follow us on Linkedin

Like us on Facebook

Follow us on Instagram 

Follow us on Twitter  

Follow us on Pinterest

Subscribe to our YouTube Channel

 

Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

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14 Top Scrum Master Certifications in High Demand Today!

As the Agile approach takes the globe by storm, we're seeing an increase in the number of people who call themselves "Agile practitioners." Agile practitioners, in reality, are a dime a dozen. What can you do to stand out in the Agile environment and make yourself more recognisable than your colleagues in this situation? Scrum Alliance's Certified Scrum Master certificate might be the answer.

"Is a Scrum accreditation really worth it?" is a question that most entry-level or even mid-career Scrum practitioners have. It is, without a doubt, the solution! According to the 2017-2018 Salary Survey of Scrum Workers, even entry-level professionals with only one scrum certification earn much more than their non-certified peers.

According to job website Indeed.com, Scrum credentials were also the most wanted qualifications in 2020, with the Certified Scrum Master being the most in demand. Employers are seeking qualified Scrum specialists more than ever before, according to research.

According to Indeed.com's poll, the CSM ranks higher than the Project Management Professional (PMP)® certificate. So now you know how to prepare for the future in your profession. Obtain your Scrum certification as Project managers, product owners, business analysts and a variety of other professionals who work with Scrum teams might benefit from learning Scrum ideas.

 

What is a Scrum master certification and do you need one?

Scrum master certification, often known as Scrum certification, is a credential that validates your understanding of Scrum project management principles. It can prepare applicants to become Scrum masters, a type of project manager who completes projects using Scrum.

Scrum certifications are regularly requested—and occasionally required—in professions that heavily stress Scrum. So, which Scrum qualifications are the most valuable?

We looked at how many times each Scrum certification was cited in job posts on LinkedIn, Indeed and Simply Hired. The data indicate the top seven certifications referenced in job postings.

 

Scrum Master Certification Has Many Advantages

A Scrum Master certification verifies that you have the skills and abilities that employers want in a Scrum Master. Every team needs a committed individual to manage and execute multiple Agile initiatives. To demonstrate the importance of Scrum Master certification, consider the following benefits:

1) Acquire Scrum skills and principles

Attending a Scrum Master course can help you gain information and use those abilities successfully whether you are new to the world of Scrum or any broader Agile methodology. For those with prior Scrum implementation experience, the certification helps you to expand your understanding of how to overcome problems that arise while managing large teams across many departments using the same framework.

 

2) Enhance team collaboration and leadership.

You may lead and encourage your peers after becoming a Certified Scrum Master. You'll be able to lead them and facilitate smooth collaboration. The Scrum Master certifications shows your staff that you have the knowledge and expertise necessary to successfully lead an Agile team. It also serves as a differentiator, demonstrating to potential employers that you are a step ahead of the competition.

 

3) Changes Your Attitude

In order for lean-agile methodologies to be effective in your firm, you must create an Agile mentality. Agile training gives you the tools and abilities you need to advance your Agile career. It will teach the necessary mentality required to successfully implement the framework at all levels of the company. The capacity to think in an Agile manner will aid in teamwork, conflict resolution and the creation of more effective projects.
 

4) Make Progress in Your Career

When you become a Certified Scrum Master, you'll notice that your employment prospects skyrocket. The certification will make you a more relevant competitor in your profession and will result in a higher compensation than your non-certified counterparts. It also equips you with the necessary abilities for contributing to organisational change and achieving corporate objectives. The certification validates your Agile mentality, which is beneficial to your company.

The Scrum Alliance is the official organisation that issues CSMs and has Scrum Masters all around the world. This community regularly participates in Scrum events, conversations, forums and other activities to keep you informed.

You may join a community of acknowledged Scrum experts, practitioners and trainers by becoming a certified Scrum Master. This worldwide network will offer you opportunities to expand your Scrum expertise, get help when needed and provide answers to other challenges.

Scrum.org, for example, has a global network of Scrum teachers and practitioners. There are few things in the Agile world that our community cannot assist you with and obtaining a Certification allows you to benefit from their expertise.
 

5) Ensure a Smooth Agile Transition

A Scrum Master certification can help you manage programme, portfolio and team-level risks if you want to introduce Scrum as a new technique in your workplace. Scrum's success may be attributed to its release schedules, highly empowered teams and methods. Because a qualified Scrum Master will execute the framework, management may be certain that there will be a high possibility of success in Scrum implementation with proper training.
 

6) Become a member of a Scrum Expert Community

You may join a community of recognised Scrum specialists that are committed to the Agile process and continuous progress after you become a qualified Scrum Master. The community has a global network of Scrum teachers and practitioners and it acts as a knowledge repository, a location to locate and offer help and a means to search for events.

 

Best Certifications for Scrum masters:

As of August 2021, these are the top seven most-mentioned Scrum certifications on various job search sites.
 

  1. Scrum Master certification (CSM)

The Scrum Alliance, the first organisation to offer a Scrum certification, administers the Certified Scrum Master (CSM) designation. It's for present and aspiring Scrum team leaders from a variety of industries, as well as anyone who intends to work on cross-functional teams and solve complicated problems.

Advanced Certified Scrum Master (ACSM) and Certified Scrum Professional Scrum Master (CSP-SM) credentials from the Scrum Alliance are more advanced Scrum Master certifications.

Cost varies depending on the course. As of August 2021, the offerings ranged from roughly $450 to $1000. Exam fees are included in the price of the course.

Requirements: To become a CSM, you must complete a fourteen-hour training course and pass a test at the conclusion
 

  1. Scrum Product Owner Certification (CSPO)

The Scrum Alliance now offers the Certified Scrum Product Owner (CSPO) certification, which verifies your product owner training and knowledge. Product owners are one of the nine rising roles in product development for 2020, according to research by the World Economic Forum. In the CSPO, you'll study the fundamentals of Scrum as well as product-specific training, such as how to balance multiple stakeholders' needs and develop a product vision. Product owners and project managers, as well as business analysts and data analysts, should take the CSPO.

You can advance on the product owner track by becoming an Advanced Certified Scrum Product Owner (ACSPO) or a Certified Scrum Professional Product Owner (CSP-PO).

Cost varies depending on the course. As of August 2021, the offerings ranged from roughly $450 to $1000.

To become certified, you'll need to take a Scrum Alliance-approved CSPO course.
 

  1. Scrum Master with experience (PSM I)

Scrum.org, an organisation formed by Ken Schwaber, one of the co-creators of Scrum Alliance, offers the Professional Scrum Master I (PSM I) credential. The PSM I certifies your knowledge of the Scrum framework and how to implement it.

Scrum.org offers the PSM I as the first level of Scrum certification. After that, you can take the PSM II or PSM III, which will put you through your paces with more complicated Scrum processes.

Price: $150

To become certified, you must first pass the PSM I evaluation. Courses are offered, although they are not necessary.
 

  1. Scrum Master Certification (CSP)

The Certified Scrum Professional (CSP) is the Scrum Alliance's highest-level credential in the product development track. The CSP is unique to developers and is designed to help you become a professional who improves the way Scrum and Agile principles are implemented on your team. It differs from the CSP-PO and CSP-SM in that it is designed to help you become a professional who improves the way Scrum and Agile principles are implemented on your team.

You can begin your journey toward becoming a CSP by first becoming a Certified Scrum Developer (CSD).

The application fee is $100, plus a $150 certification charge.

To become a CSP, you must have an active CSD certification, a minimum of 36 months of Agile or Scrum work experience in the previous five years and seventy Scrum Education Units in the previous three. After that, you'll need to fill out an application, which will need to be authorised.
 

  1. Scrum Master in SAFe (SSM)

SAFe Scrum Master (SSM) certification may be what you're searching for if you want to be a Scrum master in a company where Agile, Lean, or DevOps ideas are used on a wide scale. Scaled Agile, the organisation that governs the Scaled Agile Framework, administers the certification (SAFe). You'll discover the tools you'll need to operate with fully remote teams in addition to getting to know Scrum.

Cost varies depending on the course. In August 2021, a sample of courses cost between $600 and $800. Exam fees are usually included in course fees.

Requirements: In addition to passing an exam, you'll need to undergo a two-day course certified by Scaled Agile.
 

  1. Professional Scrum Product Owner (PSPO I)

Scrum.org's Professional Scrum Product Owner I (PSPO) certification verifies your ability to optimise the value of a development team's product. The certification assesses your knowledge of Scrum.org's Product Owner Learning Path, as well as your ability to apply and interpret the Scrum Guide.

You can download the PSPO II and PSPO III from Scrum.org if you wish to progress your credentials.

Price: $200 (exam only)

The PSPO I exam must be passed in order to acquire the credential. A course is not required, however it is strongly suggested.
 

  1. Certified Scrum Developer (CSD)

The Certified Scrum Developer (CSD) programme from the Scrum Alliance is for product developers who work in Scrum settings. You'll gain familiarity with the key ideas of Scrum and Agile in the context of product development as part of the training required to become a CSD.

Both the Advanced Certified Scrum Developer (ACSD) and the Certified Scrum Professional (CSP) require the CSD (CSP). Scrum.org also offers a Professional Scrum Developer (PSD) course.

Cost varies depending on the course. As of August 2021, the average offering was over $1000.

Requirements: To become a CSD, you must complete a two-day Scrum Alliance-approved CSD course.
 

  1. Advanced Certified Scrum Master (A-CSM)

Advanced Certified Scrum Master (A-CSM) is an advanced course offered by the Scrum Alliance for people who already have a CSM certification (see below) and have one or more years of experience as a Scrum master. According to Scrum Alliance, A-CSMs attend training sessions to learn methods and skills that go beyond the foundations and introduction mechanics of Scrum, such as engagement, facilitation, coaching and team dynamics.

Candidates must accept the A-CSM licensing agreement and complete their Scrum Alliance membership profile once all educational programmes have been completed and validated by a Scrum Alliance-certified educator. They must also prove that they have worked as a Scrum master for at least 12 months in the last five years.

The cost of a course ranges from $600 to $1,500, depending on where you live and whether you take an online, in-person, hybrid, or self-paced course.

A-CSM certification must be renewed every two years for $175 and applicants must obtain 30 SEUs during that period. (Use the "Combined Certified Scrum Master and Certified Scrum Product Owner and/or Certified Scrum Developer" option to renew multiple Scrum Alliance certifications.)
 

  1. Certified Scrum Professional Scrum Master (CSP-SM)

Scrum Alliance's Certified Scrum Professional – Scrum Master (CSP-SM) credential is meant to validate your Scrum experience, training and expertise. The certification focuses on Lean, agile and Scrum, as well as fundamental Scrum master abilities and service to the development team, product owner and company. To sit for the test, you'll need to complete accredited CSP-SM training and demonstrate that you've worked as a Scrum master for at least 24 months in the last five years.

You'll also get access to special CSP events where you can network with other Scrum and agile leaders, as well as a free premium membership to Comparative Agility, an agile assessment and continuous improvement platform, along with your certification.

The cost of a course varies based on the location and instructor, but it usually ranges from $1,400 to $2,000 dollars.

The CSP-SM must be renewed every two years for a fee of $250 and applicants must acquire 40 SEUs during that period.
 

  1. Disciplined Agile Scrum Master (DASM)

The PMI Disciplined Agile Scrum (DASM) certification focuses on the Disciplined Agile Scrum (DASM) mentality and its underlying principles, which include ideas like "pragmatism, the power of choice and reacting to circumstances." The certification covers the principles of agile and Lean, including Scrum, Kanban, SAFe and other approaches. You'll learn how to put these principles into practice in real-world scenarios and how to use the Disciplined Agile toolset to find the most successful approaches for your team and organisation.

You may also take the Disciplined Agile Senior Scrum Master (DASSM) or Disciplined Agile Value Stream Consultant (DAVSC) certification tests once you've acquired your DASM certification.

Nonmembers pay $499, while members pay $399; the test fee is included in the course registration fee and retakes are $150 each. Every year, the DASM certification must be renewed.

 

  1.  PMI Agile Certified Practitioner (PMI-ACP)

Although the Project Management Institute (PMI) does not provide particular Scrum credentials, Scrum masters prefer the PMI-ACP certification since it includes numerous agile and Scrum techniques and concepts. The certification validates applicants' understanding of agile principles and ability to use agile practises. It includes Scrum, Lean, Kanban, extreme programming (XP) and test-driven development, among other agile methodologies (TDD).

A secondary degree, 21 contract hours of agile practice training, 12 months of general project experience during the last five years and eight months of agile project experience within the last three years are all required for the PMI-ACP. The prerequisite for 12 months of general project experience within the last five years can be satisfied by a current Project Management Professional (PMP) or Program Management Professional (PgMP) certification, but neither will suffice.

PMI members pay $435; nonmembers pay $495.

Renewal: To keep their PMI-ACP certification, holders must obtain 30 professional development units (PDUs) on agile subjects every three years.
 

  1. Professional Scrum Developer

The Scrum.org Professional Scrum Developer certification is meant to verify your understanding of utilising Scrum to develop complex software solutions. The certification will demonstrate to companies that you have the necessary abilities to work as a Scrum developer using the Scrum Guide's best practises.

The evaluation is "exhaustive and demanding," according to Scrum.org, with questions that will evaluate your understanding of the Scrum Guide, as well as your ability to comprehend its meaning and apply it in real-world situations. You'll also be tested on the Software Developer Learning Path's material, as well as questions that challenge you to use your own real-world Scrum developer expertise.

Attempts to Professional Scrum Developer certification cost $200 each and the PSD does not have an expiration date.
 

  1. Professional Scrum Master (PSM)

Scrum.org offers three certifications to confirm your Scrum abilities and expertise. The Professional Scrum Master (PSM) I certification is the first of three. The test covers various priority areas indicated in the Professional Scrum Competencies and you'll be required to derive meaning from the Scrum Guide and implement Scrum in a Scrum team.

Although there are no explicit test prerequisites, applicants should be aware that the content presented is high-level and complicated and only those who are well-versed in Scrum concepts should expect to pass. After passing the PSM I test, you can advance to the PSM II and PSM III levels of certification.

The cost of the PSM I exam is $150, the PSM II test is $250 and the PSM III exam is $500. The PSM does not have an expiration period.
 

  1. SAFe Advanced Scrum Master

Scaled Agile's SAFe Advanced Scrum Master certification is a two-day training that prepares existing Scrum Masters for leadership roles that need them to work in a Scaled Agile Framework (SAFe) environment. Identifying and resolving team anti-patterns, optimising value flow using Kanban and other engineering approaches, supporting program-level execution and employing problem-solving and advanced coaching techniques to promote change are all covered in the test.

Although it is an advanced certification, there are no requirements for those interested in obtaining it. However, Scaled Agile highly advises that you have at least one of the following certifications: Certifications include SAFe Scrum Master (SSM), Certified Scrum Master (CSM) and Professional Scrum Master (PSM).

Course rates vary depending on location, however the first test fee is included in the registration fee. Each try at a retake costs $50. SAFe Scrum Master certification holders must renew their certification every year for $100 and complete at least 10 hours of ongoing education.

 

Conclusion:

The need for qualified and experienced Scrum masters is increasing as more firms implement Agile and Scrum methodologies for project management. Scrum masters give skills beyond that of traditional project managers due to their training in certain proven procedures.

Although no amount of training can replace hands-on experience, certification adds a layer of authenticity and professionalism to a Scrum master's resume, making him or her more appealing to future employers. Scrum is a project management paradigm that helps businesses and organisations manage complex projects, improve team responsibility and save costs.

A Scrum master is a certified professional who assists in the organisation and scaling of Scrum teams of any size. Scrum master certifications not only adds credibility, but it also makes them more sought-after and boosts their earning potential.

If any of your coworkers are certified Agile practitioners, a certification can assist you strengthen your working connection with them. The core concepts do not alter, even if your peers have learned or implemented a different Agile technique. You'll be able to talk to them and exchange ideas with them, strengthening your company's Agile culture in the process. The working atmosphere is enhanced since you have a better understanding of how your coworkers function and even think.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses
 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses
 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses
 

DevOps Training:

- DevOps Certification Training Courses
 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses
 

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Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

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Top Machine Learning Hackathons for a Data Science Career

Do your thoughts fall under any of the following categories? If so, you've come to the right place. This article will assist you in taking your next step in data science and advancing your career.

I'm Perplexed — Where Should I Begin My Data Science Career?

How do I dive into Data Science and Machine Learning as a Working Professional after many years of working in a different domain and quickly learn things?

As a student with no prior experience with projects or challenges, how do I approach Hackathons and develop my own projects and applications?

and many others... What should I do first and how should I proceed?

You've come to learn and apply your skills as soon as possible. This article is a great starting point for anyone interested in pursuing a career in data science.

 

Three things to keep in mind as you begin

  • Always continue to learn, experiment with great consistency and trust your intuition and your domain knowledge and business acumen will grow over time.
  • Remember that the only way to apply machine learning and data science concepts is to get your hands dirty and start practising right away after learning the theory.
  • Examine the blogs and bootcamps listed below to determine your area of interest and the skills required. This will assist you in deciding which Hackathon site to attend.

Once you've mastered all three critical points, let's move on to competitions or hackathons. The Data Science Challenge is more than just applying Machine Learning algorithms; it is an incredible opportunity to learn, understand and implement solutions to specific problems that provide immense satisfaction. Meanwhile, real-world problems are not always the same as those presented in competitions, but these platforms allow you to apply your knowledge to processes and see how you compare to others.

 

The Benefits of Entering Data Science Competitions

Participating in these competitions gives you a lot to gain and almost nothing to lose. Participating in Hackathons provides numerous benefits, including: 

  • Incredible learning and collaboration opportunities. Networking with like-minded individuals will be extremely beneficial. Working in groups is even better because it allows you to consider a problem from various angles and approach it collaboratively.
  • Using and experimenting with a wide range of cutting-edge approaches and datasets.
  • By showcasing your passion and skills to the world, you may end up meeting great contact and landing an awesome job.
  • It's always entertaining to play and see how you rank on the scoreboard. During the publication of those Leaderboards where our Rankings are disclosed, that adrenaline rush is real.
  • If we win, the prize money is always a plus, but it shouldn't be our primary motivation to compete. Learning to utilise our skills is our objective and focus.

     

Top 16 Awesome Machine Learning Hackathons (Competitive Platforms for Data Science)

1. Kaggle (Level: Beginner, Intermediate & Advanced)

Featuring over 10,00,000 registered users, Kaggle is the world's largest data science community platform for data science contests, with both novice and expert users. It's a Google-owned crowdsourcing platform that attracts, nurtures, trains and challenges data scientists from all over the world to tackle data science, machine learning and predictive analytics problems. Data scientists and other developers can use Kaggle to store datasets, compete in machine learning competitions and write and share code in Python, R and R Markdown. On Kaggle, over 150K "kernels" / programmes encompassing everything from sentiment analysis to object detection have been shared.
 

2. Analytics Vidhya's DataHack (Level: Beginner and Intermediate)

Analytics Vidhya is a leading data science community and knowledge portal in the world. Analytics Vidhya hackathons are a fantastic chance for anyone interested in honing their digital abilities in areas such as artificial intelligence, machine learning, natural language processing, deep learning, business analytics, data science, big data, data visualisation and more. Data Science Blogathon was held for seven editions (with more to come in the future) to assist budding writers and data science enthusiasts in showcasing their talent and passion for writing Technical Blogs and developing a Data Science Portfolio. My personal favourite is Analytics Vidhya, which hosts both Hackathons and Blogathons. It has two intriguing parts to study and use your skills: Free Courses and Blog. Beginners can benefit greatly from the information provided in the preceding sections.
 

3. Zindi (Level : Intermediate)

Zindi is Africa's first data science competition platform, with the goal of providing world-class machine learning and AI solutions to organisations and governments through a talented community of data scientists, scientists, engineers, academics, companies, NGOs, governments and institutions focused on solving Africa's most pressing problems. Interesting Real-world challenges include the "Lacuna — Correct Field Detection Challenge" (to build a way to properly locate field sites) and the "AutoInland Vehicle Insurance Claim Challenge" (to design a method to accurately locate field locations). Predicting whether a client will file a vehicle insurance claim in the following three months is hosted in Zindi, which gives high prize money, while other Zindi competitions offer Zindi points to contribute to the Global Zindi Rankings, where users are representing their country.
 

4. Hacking a Machine (Level: Beginner and Intermediate)

MachineHack is an online platform for Machine Learning competitions created by Analytics India Magazine, a media outlet dedicated to growing and promoting India's data and analytics community. They host business situations for which participants can use Machine Learning to find solutions. 
 

5. DrivenData (Level: Beginner, Intermediate & Advanced)

DrivenData sponsors data science challenges to help enterprises tackle the world's most difficult problems by bringing cutting-edge predictive models to them. They apply cutting-edge data science and crowdsourcing approaches to some of the world's most pressing social issues at DrivenData. They conduct 2- to 3-month-long online challenges in which a global community of data scientists competes to develop the best statistical and machine learning models for difficult predicting issues that matter.
 

6. XEEK.ai is an artificial intelligence platform (Level: Beginner and Intermediate)

Xeek.ai challenges bring together the Data and Geoscience communities — including prominent data scientists, developers, geoscientists and machine learning experts — with the common objective of crowdsourcing new solutions to energy's most pressing problems.
 

7. Bitgrit is a type of grit that is (Level: Intermediate)

Bitgrit is an AI competition, recruiting and networking platform for data scientists founded in Tokyo in 2017. They challenge their prestigious data scientist community to build innovative data-driven solutions to maximise AI and better integrate it in today's society across industries. It is home to a worldwide community of over 25,000 engineers.
 

8. The AI Crowd (Level: Intermediate)

Data science experts and enthusiasts (Crowdsourcing AI) can use AI Crowd to tackle real-world challenges. The "ADDI Alzheimer's Detection Challenge" and the "Airborne Object Tracking Challenge'' are two real-life challenges that AI Crowd has hosted.
 

9. Unearthed (Level: Intermediate, Advanced)

Unearthed is the world's largest community of companies, developers and data scientists working to improve the efficiency and sustainability of the energy and resources business. The "Hydrogen Hypothesis" is the most recent and intriguing challenge, which requires people to suggest an experiment that establishes a use case for the safe and effective usage of hydrogen in mining. Docker will be used to submit solutions to this platform. Every user has access to incredible Industry use-cases.
 

10. CodaLab (Level: Advanced)

CodaLab is a web-based open-source platform that allows researchers, developers and data scientists to interact in order to advance study disciplines that involve machine learning and advanced computation.
 

11. DataCrunch (Level: Intermediate)

DataCrunch is a group of 42 students from ESSEC Paris and a former finance instructor who wants to disrupt the hedge fund industry by creating the first hedge fund controlled and owned by a community of data scientists! The DataCrunch community improves the Fund's predictions and participants are rewarded with either equity tokens (direct ownership in the Fund) or cash (200 euros for weekly challenge winners), as they choose.
 

12. CrowdAnalytix (Level: Intermediate, Advanced)

CrowdANALYTIX is an Artificial Intelligence platform for retailers, distributors and manufacturers that provides the tools and access to a large network of data scientists needed to create enterprise-grade custom solutions that are installed on a secure, scalable server and integrated via APIs. Interviews, reviews, use cases and reference materials are among the many resources available on the platform's Community Blog.
 

13. Tianchi (Level: Intermediate & Advanced)

Big Data Competitions are held by Tianchi (by Alibaba Cloud, China) for the application of big data and distributed computing resources, as well as cutting-edge solutions for real-world applications. Big data, AI Ops, Machine Learning, Artificial Intelligence, Deep Learning, Object Detection and many other fields are frequently covered by the difficulties, which span several domains.
 

14. Signate Japan (Level: Intermediate)

SIGNATE is the only platform in Japan that uses Data Science competitions to empower AI/Data Analytics talent to address business problems faced by businesses and governments. Aside from the competitions, there are useful resources such as the Learning site.
 

15. Devfolio (Level: Intermediate)

Devfolio's objective is to assist in the development of a thriving community of makers. InOut hosts India's largest community hackathon, wmn hosts India's largest women-only hackathon and ETHIndia holds India's largest Ethereum hackathon. Devfolio has assisted organisers in hosting over 100 hackathons throughout the world, including Blockchain and Fintech competitions.
 

16. InnoCentive (Level: Intermediate, Advanced)

InnoCentive is the world's first crowdsourcing innovation platform. They use technology, research, business, AI and data to assist innovative enterprises in solving major Life science problems. Problem solvers help to solve some of the world's most serious issues, from easing household access to clean water to passive solar systems that attract and kill malaria-carrying mosquitos.

 

Benefits of doing a Project Management Certification


1. Enhances the resume's worth - Throughout your career, you might seek a variety of professional qualifications. But, of all of them, the  Project Management Certification is the most valuable. Interviewers looking to fill a project manager role are aware of this. As a result, they prefer profiles that have  Project Management Certification over those that do not. Jobs in project management are in high demand. 

 As a result, in most circumstances, multiple persons apply for these positions. Interviewing and evaluating the potential of all applicants takes time and resources for the company. As a result, they like to screen out as many people as possible prior to conducting project management interviews. Furthermore, many companies are making the  Project Management Certification mandatory. It means you won't be able to apply for various jobs unless you have these credentials.

 If you want to grow in your current company, the  Project Management Certification can be quite beneficial. It puts you miles ahead of your peers in terms of job advancement. A certified manager can also perform significantly better in a gruelling project management interview than a non-qualified manager.
 

2.  Recognized by the industry -  Project Management Certification is a globally recognised credential. Many certification programmes are narrowly focused on a single area or region.  Project management, on the other hand, is a global certification that may be used in any business and in any location. So, regardless of your professional background or industry, adding the certification to your resume can help you advance.

 What is the market value of a  Project Management Certification? Data shows that as a company's number of certified project managers grows, so does the success rate of its projects. Companies also realise that qualified managers are more likely to complete projects on time and on budget.
 

3.  Assists you in mastering crucial skills - On the employment market, there are numerous project managers to choose from. How do you stand out from the crowd in such a situation? What better way to go about it than by earning your  Project Management Certification? It improves the appeal of your CV to employers. More importantly, PMBOK certification teaches you critical abilities that will help you advance in your job.

 The  Project Management Certification has strict requirements. As a result, passing this exam without substantial preparation is difficult. It also necessitates that you master the material's practical application. Obtaining the  Project management credential will necessitate the acquisition of a number of hard and soft skills. It improves your understanding of basic project management procedures, tools, strategies and approaches.
 

4. Contributes to an increase in income - The most appealing aspect of  Project Management Certification is the potential for project managers to earn a greater income. The average remuneration of certified project managers is significantly greater than the industry average. According to a recent PMI survey, the average median income for a certified project manager is $108,000. A non-certified project manager, on the other hand, earns only $91,000 on average.

 According to another study, certified project managers make about 20% more than non-certified counterparts. This tendency can be found all across the world, even in Middle Eastern countries like Saudi Arabia and the UAE.  Project management certified individuals earn significantly more than female certified professionals in other industries.
 

5. Provides opportunity for networking - Around 773,840  Project Management Certification holders are now active around the world, according to PMI. When you join the PMI, you become a member of the club. PMI holds meetings for members in major cities throughout the world on a regular basis. These gatherings are also held to assist participants in obtaining Professional Development Units (PDUs). Continuous Credential Requirements, or CCRs, necessitate the use of these units. These are required to maintain the certification for the next three years.

 There are numerous advantages to participating in such networking events. During these sessions, anyone interested in this certification can learn about any new work prospects that are shared by those who value it.

 At PMI meetings, there is a designated time for job postings.  Project managers can also communicate with each other in various online and offline communities. Professional networks can be formed through these communities. This certification also qualifies a person to mentor other PMI  Project management candidates.
 

6. It demonstrates your commitment to the job. - As previously stated, some requirements must be satisfied in order to obtain  Project Management Certification. To be eligible as an associate, you must have 60 months of experience. A bachelor's degree, on the other hand, necessitates 36 months of professional experience. The  Project Management Certification has strict requirements. A potential employer recognises that passing the exam necessitates commitment to the job. It shows that you are committed to pursuing project management as a long-term professional goal.

 An employee who invests in his or her education is a valuable asset to the organisation. Your desire to improve your professional abilities, credentials and knowledge is symbolised by a  Project Management Certification. It also aids in commanding respect from colleagues and team members.

 

Concluding Thoughts

You now may have a better understanding of what each Hackathon platform has to offer, as well as learning tools to help you improve your skills. Machine learning hackathons are a fun way to improve one's skills, find answers to challenging issues, add a few highlights to one's résumé, and sometimes gain money.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses
 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses
 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses
 

DevOps Training:

- DevOps Certification Training Courses
 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses
 

Connect with us:

Follow us on Linkedin

Like us on Facebook

Follow us on Instagram 

Follow us on Twitter  

Follow us on Pinterest

Subscribe to our YouTube Channel

 

Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

Please Contact Us for more information about our professional certification training courses to accelerate your career. Let us know your thoughts in the 'Comments' section below.


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Key Comms Strategy: Goals, Audience, Channels, Feedback!

You must have a precisely prepared communication plan whether you work for an agency, a nonprofit or a corporation. Setting expectations, measuring outcomes and gaining insights are all made easier with a comprehensive plan and timeframe.

 

A project communication strategy is a coordinated effort by all project participants, from the project manager to the most junior personnel. The way it is presented and the message that is given are the responsibility of all members. 

 

A project communication plan answers a few basic questions, such as who will be getting project information, what information needs to be delivered, how and when the information will be distributed and who will be accountable for providing all communications.

 

A communication strategy for a small project, according to project management principles, can be basic. However, when the project grows in complexity and size, it gets more difficult. Project communication can be prepared ahead of time to ensure that the appropriate project information is communicated to the appropriate individuals at the appropriate time.

 

Key Components of a Project Communication Plan

  1. A process - This is quite important. It won't work if you merely scribble some goals on a whiteboard and call it a day. Implementing a step-by-step procedure will require you to tackle obstacles and inconsistencies that could stymie your development. Make a plan for how and when you'll attain your objectives.

 

  1. The Objective - Your communication goal should be to improve conversions if you want to see genuine business results. Determine how many new clients you want to attract. 

 

Also, explain how much revenue can be generated from existing consumers. After all, keeping existing consumers is significantly easier than gaining new ones. Your projections should be grounded in reality. Setting a target of $1 trillion in new sales isn't going to help you.

 

  1. Goals - Setting clear, consistent goals is a challenge for many communicators. Concentrate on a few concrete, doable objectives. How?, for example, would you achieve your goal of increasing conversions? Start from the end and work your way backwards:

 

  • Increase the number of visitors to your website from XX to XX.
  • From XX through XX, create an email database.
  • Increase the number of marketing qualified leads from XX to XXXXXXXXXXXXXXXXXX
  • Increase the number of qualified sales leads from XX to XX.
  • XX% of sales qualifying leads should be converted to customers.

 

Set benchmarks if you don't have the numbers you need right away. To set benchmarks, develop a 60- or 75-day plan, then go back and define the targets.

 

  1. Strategy - Your plan aids you in achieving your goal. If your goal is to improve your reputation in order to attract more clients, your strategy should include a concise description of how you plan to accomplish so.

This is your communication strategy's vision. What will success look like in a year? Make a note of it.

 

  1. The Plan - To finish this phase, you'll need input from your customer or executive team. What do your leaders intend to accomplish? You can't bring about change in your company until you know where it's heading and how you can help it get there.

 

  1. Executive Summary - Make a one-page summary of your entire strategy. It should include the following:
  • Core Values Mission Vision
  • Business objectives for the current fiscal year
  • Differentiators
  • Key Takeaways
  • Any unresolved concerns or challenges that arose during the initial planning meetings should be included in the list of communication techniques.
  • If resources become available, make a list of activities you'd like to undertake.

 

  1. Key Challenges - What are the most difficult challenges you face? Anything from a slacker salesperson to a commoditized business could be the culprit. Perhaps your company's reputation isn't great, or perhaps your main competitor has a monopoly on a market you want.

Whatever it is, provide a description of the items or services you wish to promote, as well as any obstacles you could face. Make a list of every potential stumbling block.

 

  1. Situation Analysis - This clarifies important industry figures. This is something that one of my clients does on a quarterly basis. He discusses the state of the economy on a worldwide scale, as well as industry measurements.

 

Your general goals and emphasis, your culture, your perceived strengths and weaknesses and your market share position should all be included in your situation analysis.

 

  1. Customer Analysis - What are the three or four categories of customers you'd like to attract? How many customers do you hope to have by the end of the year? What are the values of your target market? Include a description of how those prospects go about hiring a company like yours (or your client's).

 

  1. Competitor Analysis - Clarify your own marketing stance, as well as your nearest competitors' strengths and limitations. Examine your competitors' domain authority to discover where they rank for your most important keywords. 

 

For instance, If you have $99 to invest per month, both Moz and SEMRush will allow you to accomplish this automatically. Keep an eye out for any flaws that may limit your ability to compete.

 

  1. Implementation Summary - To ensure accountability, this examination of how you will use the above facts to achieve your goals should be as detailed as feasible. What tasks must be completed by whom and when must they be completed? Do you require assistance from other departments? (answer is Yes) 

Summarize the major events—product launches, events, speaking engagements, board meetings—and determine who should assist and how they should assist.

 

  1. Positioning Statements - These are the essential messages you'll employ in your marketing materials to distinguish yourself apart from the competition; they should emphasize your key service mission and qualitative skill sets.

 

  1. Cost Strategy - It may seem strange to include a cost strategy in your communication strategy, but it's critical to consider the whole picture. Isn't it true that costs have an impact on your ability to generate results? 

 

Include a summary of the company's pricing structure, as well as a comparison of your rates to those of key competitors. Consider including pricing information on your website.

 

  1. Changing Market Analysis - Forecasting fiscal developments in your target sectors over the next few years is critical. What impact will these changes have on you?

 

For example, no one could have forecast the "polar vortex" of 2014, which brought business to a halt. Chaos and crises are always present. Even if you can't forecast precise scenarios, be prepared for external influences that may affect your communication plan.

 

  1. Metrics - Include pertinent metrics last, but certainly not least. Return to the "Goals" section by scrolling up. Do you see those XXs? Those should be real numbers and your measurements should be based on them. When designing your communications plan, make sure it follows the SMART structure: are they specific, measurable, attainable, realistic and time-bound?


 

The most important aspect to consider while creating a good communication plan.

 

Incorporating Feedback into Communication: When it comes to delivering a successful project, stakeholders and their perspectives are critical in determining success. Each stakeholder may have a different metric for determining success, which you should consider when drafting the communication.

 

For example, one stakeholder may consider a project successful if it meets the predetermined budget, while another may consider on-time completion a significant component and a third stakeholder may view identifying and implementing adjustments at the appropriate time as a major success indicator. 

 

As you construct the communication plan, make sure to include the perspectives of all stakeholders. Some stakeholders may offer remedies to problems in their feedback report, while others may want to talk about it.Input from stakeholders is an important part of a project's communication plan in both directions.

 

Here are some ideas for getting relevant feedback from stakeholders:

  • All Stakeholders Must Be Involved: It is critical to include the views of all stakeholders involved in your project. By failing to do so, you are reducing the options for advice and, as a result, your project's prospects of success.
     
  • Providing Required Information: You should deliver all necessary information to your stakeholders. Excessive information should be avoided. Otherwise, because they are as busy as you are, your stakeholders may overlook your reports in the future. Make sure you give them information in a way that they can change easily. Others may prefer graphs or pie charts, while others may supply an excel file to play with the numbers.
     
  • Providing Action Plans: It is critical to provide status reports. However, limiting your communication strategy to reports is not the ideal strategy. It hinders stakeholders' ability to provide feedback. Stakeholders will be able to provide input at an early stage if action plans are in place, which you can easily implement later.

 

Conclusion

A project management must include communication as a key component. It provides you with critical feedback and allows you to keep everyone in the organization informed about your activities. 

Choose the ideal media for your audience and the type of content you want to share to communicate with everyone. Catchy and well-framed communication attracts attention and is less likely to be overlooked or ignored.

 

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The primary goal in Agile modeling is simplicity & clarity

Software systems are frequently quite complex, including a large number of different functions that interact in a variety of ways. The more complicated the systems are, however, the more difficult they are to work with. Agile modeling is really useful in this situation. Agile, as you may be aware, is a flexible and iterative framework that has grown in popularity as a result of its high success rates, even when dealing with projects with erratic requirements. Agile methods aid in the reduction of complexity by breaking down large amounts of work into tiny, manageable parts. Agile teams use Agile modeling systems to represent complicated software systems in simple, understandable ways. These systems are easy to visualize and understand even by non-technical people.

 

Definition of Agile Modeling

Agile Modeling is a practice-based methodology for modeling and documenting software-based systems that is built on a set of values, principles, and practises. 

Definition of Agile Modeling

Its purpose is to describe an Agile project's vision and goals in a clear and logical manner that the entire team can understand.

 

Primary Goal of Agile Modeling 

A solid Agile Modeling model's primary goal is to increase communication and comprehension throughout the entire team. Keeping this in mind, creating a model should be undertaken only if it will bring clarity and improve communications, allowing for a better understanding of the programme being developed—not if it will add to the complexity of the project by generating excessive documentation. 

Primary Goal of Agile Modeling 

Software modeling tools frequently result in documented models that become obsolete as the project advances. If this is likely to occur, the entire point is defeated.

 

Values of Agile Modeling

At the foundation of Agile modeling are five values that guide everything the developers do. 

Values of Agile Modeling

These values foster an environment conducive to project success. They are as follows:

  1. Courage: You may need to make unpleasant decisions along the way, and having the courage to back up and adjust your path is a crucial Agile value that will improve quality and help the team stay faithful to customer expectations.
  2. Feedback: Getting feedback early and often lowers confusion and the need for rework. Agile technique emphasizes feedback and incorporates it into development processes.
  3. Simple Concepts and Processes: The purpose of Agile modeling is to make concepts and processes as simple as possible. Its goal is to make software development easier by establishing clear criteria for model development.
  4. Communication: Agile approaches allow everyone involved in the project to understand what is going on. The channels of communication between the team and the stakeholders are smoothed out as a result.
  5. Humility - While some Agile modeling iterations stop at four values, some include this fifth one. Humility demonstrates that everyone in the team is equally important and valuable. We can even be mistaken at times! In this scenario, humility entails respect for others' thoughts and opinions, as well as recognition of the worth of others' contributions.

 

A Better Modeling Methodology Is Required

Errors are unavoidable in software development. In fact, failure rates can range from 50 to 75 percent, and by implementing the correct Agile model, you can increase the likelihood of development success by bringing openness and clarity to project responsibilities. Developers must have the guts to commit the necessary personnel and resources to the project, enabling them to deal with the numerous changes that are inherent in any Agile project. Agile modeling aims to establish the correct values and adhere to the correct rules in order to limit the number of system development failures. These principles, best practices, and values must be kept in mind by everyone working on the model, and decisions must be made based on them.

 

Best Practices of Agile Modeling

Best Practices of Agile Modeling

  1. Active Stakeholder Participation - Stakeholders are involved in the Agile software development project at all phases. They must not only give information on time, but they must also make the appropriate judgments at the right time and be actively involved in the development process through the use of real-time tools and regular feedback loops.
  2. Architecture Envisioning - At the outset of an agile project, the product vision is produced, and the team collaborates to construct a high-level model that aids in determining the most appropriate technical strategy to begin with.
  3. Iteration Models - A minimal iteration model should be built while planning each iteration to provide clarity on the path forward.
  4. Just Enough - Each model or document should only contain the necessary information. Too much data will obfuscate the situation and slow down the process.
  5. Lookahead Modeling - This is essential in order to plan ahead and lower the project's risk.
  6. Model Storming - In a model storming session, the developers work collaboratively as a team to solve the challenge at hand. This is done on a Just-in-Time basis for a brief period of time, usually while they are thinking about a complex design problem.
  7. Using Multiple Models - Using a single Agile model for a project may not be sufficient, as each model has its own set of benefits and drawbacks. You can achieve the greatest outcomes by using the appropriate model for each case.
  8. Order Requirements - Requirements are prioritized in order to maximize the return on investment, as specified by stakeholders.
  9. Defining requirements - Before beginning an agile project, the team must set up time to define the project's scope and specify the initial requirements.
  10. Test Driven Development (TDD) - Test Driven Development (TDD) is a common Agile methodology that works on a specific requirement using the Just In Time development process, writing only enough code to pass the test.

 

Important Principles of Agile Modeling

Agile is built on a collection of basic concepts that serve as the foundation for the Agile culture and attitude, as well as guiding Agile work practises. The following are the guiding principles:

  1. Work with a Goal in Mind - Before you begin, consider why and for whom you are designing the model. The path forward will be guided by a clear understanding of the goal.
  2. Maintain a straightforward approach - It's all about keeping things simple in Agile. Because the core concept of Agile modeling is to cut through complexity, keep your models as concise as possible. If the necessity arises, you can always return to the model.
  3. Be flexible and adaptable - The model will very certainly alter as you obtain a better knowledge of the project. Be willing to rebuild the model to stay up with changing circumstances.
  4. Allow for Consistent Effort - Consider the possibility that you will need to abandon the project and that someone else will take over or improve your work. Maintain sufficient documentation and references so that they can comprehend and continue the task you've begun.
  5. Work in Small Steps - Because the work is done in iterations, the model may need minor adjustments after each iteration. Features and tasks may vary as a result of changing requirements.
  6. Stakeholders' ROI should be maximized - Any project's ultimate purpose is to ensure stakeholder satisfaction, and in order to do so, it must generate the maximum possible return on investment. The team's first priority should always be to maximize the stakeholder's investment.
  7. Model that fits you best - Choose the method of modeling that works best for your current circumstance out of all the options.
  8. Prioritize Quality - In any Agile project, the delivery of high-quality goods and solutions is critical. Ascertain that the quality meets or surpasses the stakeholders' and team's expectations.
  9. Quick Review - Stakeholders are needed to provide input after each Agile cycle. This allows the team to complete the understanding loop and align with stakeholder expectations.
  10. Documentation should be minimized - The goal is to create software, and that should always be the priority. Ensure that this aim does not get lost in the shuffle of paperwork.

 

Advantages and Disadvantages of Agile Modeling

The modeling process has both benefits and drawbacks.

Advantages

  • Allows teams and clients to communicate more effectively.
  • Enhances project flexibility by allowing for easy handling of unexpected changes at any moment.
  • Reduces overall development time and improves client satisfaction by delivering a usable solution quickly and consistently.
  • Delivers working software more regularly, in weeks rather than months.

Disadvantages

  • Because documentation was not stressed, there may be some confusion among the teams. This ambiguity can make transitioning between phases challenging.
  • It might be difficult to estimate how much time and effort will be required to begin the development life cycle of larger software deliveries.
  • If the project's stakeholders aren't on the same page, the project will fall apart.
  • Modeling is not for beginners. Agile decisions necessitate people with experience as well as good developer and programming skills.

 

Final Thoughts

In today's world, technology continues to advance at a breakneck speed, resulting in very complex software systems and solutions that are difficult to traverse and maintain. Agile models help to give clarity and simplicity to projects, boosting their chances of success by a factor of ten. As an Agile leader, it's critical to understand the best practices for applying Agile models to improve team communication and collaboration, minimize errors, and increase the likelihood of software development success. I hope this demonstrated article which is named as “What Is the Primary Goal in Agile Modeling?” cleared all your doubts regarding Agile Modeling. For more articles like this check out our Blog Page on Icert Global’s Website.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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PMI-ACP Certification: A Valuable Boost to Your Career!!

Agile is a new software industry technology that aims to replace complex conventional business methods. As a result, the PMI-ACP Certification is critical in preparing you for the latest problems in the software industry and in business activities. The PMI-ACP test gives you an advantage for three major reasons: career alternatives, salary and job knowledge. The majority of large-scale work is based on projects, which are constantly growing in terms of structure and presentation. The term "Agile" has become the best definition for project management professionals as a result of this.

 

What is PMI-ACP certification?

Agile methods will be taught to you through the PMI-ACP certification. Older management techniques are no longer effective. The market is becoming increasingly volatile. To deal with it, you'll need to employ agile techniques. To put it another way, you must be able to adapt to changes. Furthermore, you must be aware of shifting customer requirements.

PMI-ACP certification

Overall, the economic situation is always shifting. You must gain the abilities that will enable you to adapt to the shift. The PMI-ACP certification is ideal for studying agile practises. Agile practises will be able to be applied to your work. It is the most effective substitute for the old waterfall method. Obtaining a PMI-ACP certification can help you advance in your profession.

 

The PMI-ACP Project Management certification has a number of benefits

In a project management position, there are no limitations. You can look for work in a variety of industries. Every company, from food to medicines, requires a project manager. As a result, taking a project management course will allow you to be more flexible. You will receive a high pay in addition to all of these benefits. There are many project managers who make a decent living. One of the reasons why people like project management jobs is the high pay. The majority of a company's top jobs are managerial.

Although the MBA is a popular choice for project management, there are other options. The new project management courses outperform MBA programmes.PMI-ACP, for example, is quickly becoming the top credential for project managers. You will have a lot of work prospects if you master PMI-ACP.

 

Advantages after getting PMI-ACP certificate

The PMI-ACP certification is offered by the Project Management Institute. The certification course will teach you the fundamentals of project management. The PMI-ACP accreditation has a number of benefits, the most important of which is efficiency. You'll improve your efficiency to the point where you can complete jobs on schedule.

Advantages after getting PMI-ACP certificate

You will also manage projects and guarantee that they are delivered on time. Aside from that, there are a number of other advantages. 

Here are several compelling reasons to pursue the PMI-ACP certification.

  1. It is famous - Agile is a buzzword these days. Every firm, from tiny businesses to multinational corporations, requires agile processes. Companies must be adaptable to shifting market conditions. You will be able to adjust to changes if you are adaptable. It is for this reason that many businesses prefer agile processes to older ones. The number of firms that use agile has lately increased. Agile methods are used by nearly 90% of businesses. In essence, you will have numerous job opportunities.
  2. You will stand out from the crowd - The PMI-ACP certification will give you an edge over the competition. It will demonstrate your abilities to the potential employer. As a result, you'll be chosen ahead of the competition. You must, however, master all agile principles. Many firms are in need of agile project managers. You will be able to find work wherever you go. As a result, people who want to study abroad will benefit from the  PMI-ACP certification.
  3. Will enhance your skills - The PMI-ACP certification might help you improve your skills. It will assist you in learning the most up-to-date project management techniques. Market conditions change regularly, so you'll need to keep your abilities up to date. In essence, you must learn to adapt to changing circumstances. It will assist you in finishing jobs on schedule. As a result, you'll always be one step ahead of your competition. As a result, earning the PMI-ACP certification will assist you in learning the most up-to-date management techniques.
  4. High Salary - Individuals with PMI-ACP certification earn approximately $100,000 per year on average. It is a substantial sum that will provide you with stability and security. You will also receive regular promotions, which will automatically raise your compensation. If you successfully complete a project, you will also receive several bonuses. In addition, you will be a great asset to your company. As a result, you will always be paid more than the others.
  5. You will receive validation - Your abilities will be more relevant with a PMI-ACP certification. It will provide you with validation, allowing you to join any company. Organizations appreciate people with a PMI-ACP certification because they know they can rely on their abilities. You will have a say in critical matters during commercial projects. It will also assist you in having a great job. You must, however, keep in mind that earning credit requires hard labor.
  6. It will improve the value of your resume - A PMI-ACP certification will assist you in job interviews. By looking over your resume, your employer will be able to learn about your abilities. There are numerous companies where you can apply. Every company, from medicines to IT, will require your services. You can even apply for an agile master's position. You will monitor agile projects and make modifications as an agile master.
  7. Agile experts are in high demand - Market conditions are shifting in favor of agile professionals. There is an increasing demand for agile practitioners as more firms adopt agile principles. A certification will help you because most firms want agile skills. You'll be able to find work almost anywhere. You'll develop your talents and be able to better company project plans. Above all, you will improve project cost-effectiveness and reduce project costs.
  8. Agile methods are superior to the classic waterfall method - The waterfall method allows you to concentrate on just one phase at a time. Agile, on the other hand, allows you to keep track of multiple things at once. It results in more effective project management. You split down the project into several parts using agile principles. They all contribute to the project in some way. Breaking up allows you to take stock of the situation. You will be able to reduce project duration. Additionally, you will improve the project's success rate.
  9. It will provide benefits to the organization - Rather with the traditional waterfall methodology, an increasing number of businesses are adopting the Agile approach. The PMI-ACP certification aids in the discovery of ways for actively managing project scope as well as the learning of Agile concepts and practices that increase team performance and collaboration, resulting in better delivery.

 

Better Salary for PMI-ACP

The more talents you master, the better you'll be able to offer exceptional work in this competitive profession. It has also been shown that certain companies place a premium on employees who can effectively complete a job with the least amount of supervision. This premium can be guaranteed if you pass the PMI-ACP Certification Exam. A qualified PMI-compensation ACP's is around 28% greater than that of a non-certified professional. PMI-ACPs are highly regarded in the industry, which explains why they are compensated so well. It goes without saying that obtaining a PMI-ACP is a wise investment.

 

What is the status of PMI-ACP demand?

  • There is now a scarcity of professionals who fully comprehend Agile and are capable of implementing it in the current Project Management context. As a result, PMI-ACP provides a forum for individuals who already have a grasp of Agile as developers or project managers to display their qualifications.
  • The Agile community is developing and organizations throughout the world are rapidly implementing Agile techniques to complete projects in a dynamic environment.
  • The PMI-ACP certification is one of the few that bridges methodological barriers and does not focus on just one technique (usually Scrum). Agile, on the other hand, is an umbrella term for a group of methodologies including Scrum, XP, Lean, Kanban, Crystal Clear, DSDM and others.
  • Because most businesses employ many or a combination of these techniques, the PMI-ACP certification covers various tools, skills and knowledge areas in more depth.
  • Instead of being limited to instruction, the certification requires proof of practical Agile experience. Instead of simply attending training and receiving certification (which is actually referred to as a 'certificate' in the certification world), you must demonstrate Agile experience and pass a comprehensive exam administered by a recognised certification authority.

 

PMI is a respected professional organization that is best positioned to introduce some standards and certification rigor to a field that is still very new and inconsistent. There was no one top agile certification prior to this. The previous most popular credential was the Certified Scrum Master (CSM), which is: 1) unique to Scrum and 2) so simple to obtain that it is almost meaningless in the business.

 

Is the PMI-ACP certification worthwhile?

Nowadays, there is a lot of competition for jobs. You must develop your talents in order to stand out among thousands of applicants for a single job. People are growing more interested in project management employment. The key reason for the popularity is the certainty of employment. Because so many people are losing their employment due to artificial intelligence, job security has become a crucial subject. Project management roles are in high demand for two reasons: stability and security. You will be able to apply for jobs in any field if you learn project management.

 

Reasons to take PMI-ACP certification

For modest projects with a limited scope of work and a few variables, this method works effectively. Given the increasing popularity of Agile and the velocity at which it is being implemented, it is clear that PMI-ACP is the way to go. 

Reasons to take PMI-ACP certification

Here are some more arguments to support your decision to go ahead and do it. The list of reasons below is overwhelming and it should convince you to learn PMI-ACP.

  1. Increased Productivity: Numerous surveys show that organizations that use Agile methodologies are much more productive than organizations that use other methodologies in terms of accelerated time to market, managing changing priorities, taking less time to complete projects and completing projects on budget and on time. Agile approaches have proven to be effective in lowering costs and enhancing productivity. Agile approaches improve team performance by creating a friendly atmosphere for collective decision-making, learning and addressing existing issues, hence enhancing the team's productivity as well as the productivity of each individual team member.
  2. Strong Career Opportunities: IT Project Managers, Testers and QA experts can progress into specialty positions such as 'Agile Mentor' or 'Agile Scrum Master,' 'Technical Business Analyst,' and 'Agile Coach' as a result of the Agile environment. Many firms all across the world are looking for experts that are well-versed in Agile. It is easier for these experts to progress into authoritative positions with the help of a certification, as certification proves that one has theoretical understanding on how to cope with difficult assignments.
  3. Competitive Advantage over Your Peers: An Agile Certified Professional is educated in the principles and practices that can improve a team's performance. When learning Agile, students learn how to integrate the best Agile practices to enable improved project delivery. Being a certified professional ensures a prompt reaction, giving him a competitive advantage and allowing him to stay ahead of his peers. This is beneficial to your career because many firms seek the most skilled and knowledgeable individual to lead their initiatives.
  4. Common language among Agile professionals - It will be difficult for you to incorporate yourself into Agile project communications if you do not have an Agile certificate or prior Agile expertise. If you are involved in any Agile activity, whether it is an Agile daily standup meeting, iteration planning, retrospectives, or Agile project status reporting, you will face numerous challenges. You will struggle to understand the Agile terminologies used in project communications at the very least. However, if you hold an Agile certificate, such as the PMI-ACP, you will automatically begin speaking Agile at work. You will have a good understanding of Agile project activities. As a result, PMI-ACP can help you even when you're talking or writing at work. Any Agile messages you get at work will be simple to comprehend. You'll avoid making mistakes when it comes to deciphering what's being spoken to you. Furthermore, you will be able to confidently converse with your Agile peers or superiors and comprehend what they are saying.


 

Improving Job Understanding

According to analysts, the most significant benefit of this exam is that because it requires more expertise that can be applied in less time than before, people who pass it will have a less stressful existence.

 

Compared to the circumstances before this certification exam, the majority of those who have qualified for this job believe they have a better understanding of what they have to do and how to execute it.

 

What is the worth proposition of the PMI-ACP?

There are a lot of positive aspects to having a PMI-ACP and here are a few of them:

  1. It acknowledges your experience as an Agile practitioner (having done it, rather than knowing how to do it only)
  2. It necessitates knowing more than "only" Scrum.
  3. The exam is a little tougher than the normal Agile certification(s) on the market.
  4. Because of the PMP recognition and quantity of holders, the PMI seal has weight and trust with other businesses.
  5. Any Agile course, as long as it is at least 21 hours long, can be used to earn exam eligibility (so you could do a 3 days Scrum training for example rather than a specific PMI-ACP exam preparation training)

 

What are the negative aspects of PMI-ACP?

The PMI-ACP does, however, have some flaws, including the following:

  1. The training experience for preparing for the exam will differ from one provider to the next.
  2. The list of exam topics is so long that it's tough to resist being cursory on some issues during the relevant training, for example, scaling frameworks are only a few lines long and their mechanics aren't explained.
  3. In comparison to other credible alternatives, such as PSM I, the exam costs a lot of money (450 vs 150 USD)
  4. The exam experience is subpar and questions should be re-examined (see my personal experience paragraph on this)
  5. With modifications to the PMP and the introduction of Disciplined Agile, PMI is updating its Agile certificate options (DA).

 

Why is Agile getting so famous?

In the last few decades, the way firms operate has evolved. The desire for projects to be completed on a tighter budget has risen. Agile project management is also becoming more widely used as the demand for quick delivery of products and services grows. Continuous planning, development and feedback are at the heart of agile project management. It leads to faster project turnaround times and the delivery of business value from the start. As a result, Agile benefits both organizations and customers. As numerous firms throughout the world adopt Agile project management, the demand for employers to acquire Agile certified individuals has increased. Professionals that work with Agile technologies and techniques benefit from Agile certification. It's also a fantastic complement to their professional profile.

 

Who can apply for this certificate?

The PMI-ACP is a suitable choice for you if you work on agile teams or if your company is embracing agile methods. The PMI-ACP demonstrates your ability to work as part of an agile team in the real world.

 

Obtain and Maintain Your PMI-ACP Certification

  1. There are 240 mock exam questions on the certification exam.
  2. In Bangalore, India, iCert Global is offering a 3-day complete (PMI-ACP)® Agile Certified Practitioner certification test prep training course.

 

Conclusion

PMI-ACP is one of the PMI's newest certifications, but it's also one of the most thorough and in-demand. Rather than focusing on a single technique, PMI-ACP takes a comprehensive look at the entire Agile Methodology. This makes it a popular and in-demand career choice with plenty of work prospects.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses
 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses
 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses
 

DevOps Training:

- DevOps Certification Training Courses
 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses
 

Connect with us:

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Follow us on Instagram 

Follow us on Twitter  

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Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

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Top 10 Most Essential Lean Six Sigma Tools You Must Know

The way firms operate has evolved dramatically during the last decade. Forget about monopoly right now. It's becoming increasingly difficult to come by in any business. Today, sector-specific rivalry is at an all-time high and in a decade, only those businesses who strive for not only profit, but also efficiency and effectiveness in how they earn those profits will thrive. And here is where Lean Six Sigma and Six Sigma come into play.

 

What is Six Sigma?

While Six Sigma may appear to be a novel concept to many, it dates back to the 1980s. Motorola was the first to coin the word. Six Sigma tools helped the company stay afloat in a market where its Japanese competitors were putting up stiff resistance. Six Sigma tools are designed to improve the efficiency of any industry's operations. It ensures that businesses make the most money and provide the best service to their customers for the least amount of money. It's the quality target of reducing the amount of defects in a product or service to 3.4 defects per million opportunities, or 0.0003%. Sigma is derived from statistical studies and stands for standard deviation.

 

Motorola embraced Six Sigma quality goals across all areas after it was able to endure strong competition by implementing it. Many firms began to use Six Sigma to accomplish quality goals soon after. Six Sigma is now considered as an"essential" in any sector.

 

What is Lean Six Sigma? 

The notion of Lean Six Sigma is relatively new. When initially hearing these two terms – Six Sigma and Lean Six Sigma – one can be perplexed and feel they are identical. Both approaches are distinct when examined closely. Lean Six Sigma is the result of combining two theories: Lean Management and Six Sigma. Let's take a closer look at Lean Six Sigma and how it differs from Six Sigma. Lean Six Sigma is a management technique that focuses on reducing waste in a company's operations. Six Sigma, on the other hand, is a management tool that aids in the elimination of errors and flaws in a product or service.

Lean Six Sigma

Lean Six Sigma Tools for MEASURE Phase

  1. Histogram - This is a graphical representation of the frequency distribution of data in different groups. Histograms are 'the thing' if you want to express the results of your operations in the simplest way possible. It provides a rapid visual summary of the information you need to know.
  2. Trend Chart - This tool will tell you if you're on the correct track. It displays outcomes over an extended period of time. It allows you to reflect on where you were, where you are now and where you want to go in the future.
  3. Pareto Chart - This allows you to compile a list of all your issues and analyze the one that has or may have a significant influence on your operations. Sometimes a slew of issues affects only 10% of your operations, while the other 90% is caused by a single issue. Concentrate on that one issue and a slew of other challenges in your business will fall into place.

Lean Six Sigma Tools for ANALYSE Phase

  1. The 5 whys - Asking questions and finding answers is the best method to get to the base of any problem. 'Why did the X occurrence happen?' is a good question to ask yourself. Your quest for answers will lead you to ask more questions, which will eventually bring you to the root of the problem.
  2. Ishikawa Diagram - This technique, also known as a Fishbone Diagram, aims to identify all contributing root causes that are or could be leading to a process issue. The issue is depicted as a fish spine, with all contributing root causes represented as branches coming from that spine, resulting in the appearance of a fishbone, thus the name.
  3. Regression Analysis - In any process model, this provides a relationship between the X and Y components. The variables X and Y are input and output variables, respectively. There will always be some errors in the process model you established, no matter how excellent it is. But what you need is regression analysis to create a line with the fewest error points that is closest to the company aim.

 

Lean Six Sigma Tools for DEFINE Phase

  1. Process Mapping - Process Mapping, often known as Flow Charts, is a visual representation of the steps that make up a process. This is a huge aid for new employees who are absolutely bewildered and wish to learn how to operate in a company. In an industry, using six sigma technologies to eliminate communication gaps is really advantageous and helpful.
  2. 7 Wastes - Toyota's Taiichi Ohno has made our lives easier by pinpointing seven waste areas that every organization should be aware of. It identifies key locations in any business where time and money are likely to be wasted. Defective Products, Overproduction, Waiting, Underutilization of Resources, Extra Time in Processing, Transportation and Motion are the seven waste points.
  3. Prioritization Matrix - This is an analytical tool that aids in determining which projects require the most attention. It employs a concept known as Project Priority Calculator, which is a statistical or rather mathematical representation that determines which project, out of all the others, is most likely to provide the best return on investment. This means that there will be no more guesses. You have the facts and the technology you need to be confident in your project's viability.
  4. PDSA - This is a simplified version of the DMAIC approach with four phases. This, among other six sigma techniques, can be utilized to implement certain improvements in your company. The acronym PDSA stands for Plan, Do, Study and Act. The Plan stage entails recognising a key issue, Do entails formulating a hypothesis, Study entails delving deeper into the causes of a problem and Act is taking the necessary steps to remedy it.
  5. Takt Time - A Japanese phrase that refers to the interval between two clocks. Takt Time refers to the rate at which minor tasks must be completed in order to complete a bigger job. This aids in time management and increases employee productivity.

Lean Six Sigma Tools for IMPROVE Phase

  1. Kaizen - Kaizen is a Japanese phrase that translates to "continuous improvement." Every day, the goal is to improve the product and service to boost revenues and customer pleasure. It also entails keeping up with industry-specific information and keeping up with the world's fast-paced changes.
  2. Heijunka box - This tool is used to distribute the burden evenly. You don't want your staff to have a heavy workload one day and then be idle the next. Working on an average basis ensures that the staff deliver on a consistent basis and are kept up to date on the company's actions. This also helps employees work more efficiently.
  3. Kanban Pull System - Kanban is a tool for keeping an organization's inventory up to current at all times. It simply means having enough inventory to meet demand while also ensuring that demand is not exceeded and inventory does not become obsolete. Regular information exchange and the creation of communication channels between the inventory and sales departments aid in this.
  4. Poka Yoke - Mistake proofing is another name for it. You don't want a customer to criticize your items or services because of flaws. Preparing checklists and going through them one by one before sending them out is the best method to deliver without making any mistakes. You will avoid embarrassment in this manner.

Lean Six Sigma Tools for CONTROL Phase

  1. Standardised Work - This Six Sigma tool instructs us to use best practices and methods to complete a task. Employees with a lot of experience already know how to handle this. All they have to do is write them down properly, document them and if necessary, revise them on a regular basis. This also serves as a starting point for new staff.
  2. Statistical Process Control - You must maintain a process improvement once it has been made. This Lean Six Sigma accreditation assists us in both sustaining development and satisfying end requirements at the same time. The process is kept stable thanks to SPC.

 

What industries can benefit from Lean Six Sigma?

Lean Six Sigma is no longer limited to a single industry. It's an idea that can help any company run more smoothly. It can also be employed in our daily lives because it is more function specific.

Here are some examples of sectors that have been adopting Lean Six Sigma for a long time:

  1. Manufacturing
  2. Pharmaceuticals
  3. Finance
  4. Legal
  5. Consulting
  6. Hi-Tech
  7. Logistics
  8. Construction

 

Conclusion

The creation of Lean Six Sigma and other six sigma tools is relatively new. However, its tools and principles have been used in numerous areas over the world for centuries, in some form or another. Most of us have seen our parents use these in the office, in their enterprises and in their daily lives at home. However, as enterprises and organizations get more complex, we require a much improved version. A version that can quantify issues while also being simple to comprehend. And Lean Six Sigma takes care of everything.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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Build a Scrum team by defining roles for Agile success!!

As the speed of business picks up, more and more businesses are turning to agile approaches to keep up.

With major business concerns such as meeting customer expectations, improving speed to market and lowering cycle time, the Scrum team structure has emerged as the logical solution for many businesses.

 

We'll go through what Scrum is and how to form a successful Scrum team for agile development in the sections below.

 

Let’s understand -

 

What is a scrum team?

Scrum is a project management framework for executing the agile technique that is iterative in nature. The Scrum framework emphasizes continual improvement and learning in order to foster an agile mentality and empower teams to collaborate on project development.

With only a few sets of principles, the Scrum framework provides a flexible guideline for teams to follow and adapt to their specific projects and development environments. Because of its adaptability, it appeals to a wide range of teams and organizations.

 

The following are the components of the basic Scrum Framework:

  • Product owner, Scrum Master and development team are the three positions of an agile Scrum team.
  • A list of user requirements that has been prioritized
  • Sprints
  • Scrum meetings

Sprint planning meetings, daily Scrum meetings, sprint review meetings and sprint retrospectives are all examples of Scrum events.

 

Composition of Scrum Team

Five to nine persons make up a normal Scrum team (but seven is ideal—one product owner, one scrum master and five developers).

Scrum teams, unlike traditional development structures, do not have a hierarchical structure. They are self-managing and cross-functional instead. Each team member is equally valuable and the entire group possesses all of the necessary skills and expertise to produce a working product.

While everyone has an equal say, the Scrum team structure has three unique functions.

Product Owner

The product owner is the product's champion and the cornerstone of its success. Their primary role is to comprehend business and consumer needs in order to identify and prioritize tasks.

 

This position comprises the following responsibilities:

  • Creating and keeping track of the product backlog
  • Keeping in touch with the company and team to ensure that everyone is on the same page
  • Assist the team in determining which features to provide next.
  • Choose a shipping date for the product.

 

In other words, the product owner serves as a compass for the development team throughout the process. While all members of the team will participate and discuss how to approach the task, the product owner will have the last decision on what to prioritize and when.

Scrum Master

The Scrum Master assists the team in successfully implementing the Scrum framework. They keep the team on track by reining in overzealous product owners, reducing distractions and instructing the team on best practices. The Scrum Master also facilitates the daily Scrum meeting, which keeps the team on track.

 

Development Team

The Scrum team's basis is made out of developers. The development team is in charge of figuring out how to get the job done while the product owner sets the priorities and the Scrum master keeps track of the process. They are largely self-contained (one of the features that make Scrum unique from other methodologies). Scrum teams are very collaborative and close-knit as a result of this trait, which typically leads to increased morale, happiness and purpose.

 

The Business

Many businesses collaborate extensively with their business teams to gather and clarify organizational needs for the product they are developing. Although the business team possesses experience and knowledge that can be immensely beneficial to a development project, they are not regarded as an official Scrum team member. Instead, the Scrum team is sponsored by a member of the business team, frequently referred to as the company owner.

 

Subject Matter Experts (SMEs)

An SME, in the eyes of the Scrum team, is a person who possesses critical knowledge that the team needs for successful product delivery. For example, if you're developing a new app to automate the invoicing process, your SME could be someone from the billing or finance departments. They'll be familiar with the invoicing process and can contribute their knowledge to guarantee that the new app meets both business and user requirements.

 

Advantages of a Scrum Team Structure

Many teams choose the Scrum team structure and it's easy to see why. 

There are a number of benefits to using Scrum:

  1. A shorter feedback loop - Scrum teams may receive and act on feedback more quickly because they use an incremental approach to development. Scrum teams, for example, instead of spending six months developing and then releasing a product based on the original requirements, shorten the development cycle by releasing many, smaller releases (often within a few weeks).

This structure enables them to receive input early in the development process and change the product based on what they've learned and what users have said.

  1. Increased adaptability to change - Scrum teams are built to anticipate and respond to change. Scrum and other agile frameworks make it simple for teams to pivot in response to user feedback and new needs as they arise, rather than allowing these changes to disrupt or derail the development process.
  2. Products of higher quality - Scrum teams may provide higher-quality products with greater consistency because they are agile. Scrum teams test the product at every sprint, ensuring that issues are recognised and addressed as they arise, in addition to receiving and adjusting to incremental feedback.
  3. Transparency - The Scrum framework is built on the ideals of transparency and communication. In the development process, the product owner and/or stakeholder(s) play an active part.

As a result, transparency is essential for both internal team cooperation and external client (or user) communication, ensuring that work is always in line with product goals and expectations.

  1. User satisfaction is higher - It's no surprise that Scrum teams have improved user satisfaction because of higher-quality deliverables, responsive feedback loops, clear communication and managed scopes.
  2. A common goal for the team - Scrum fosters a collaborative environment. The developers are at the heart of the Scrum team. Members have a shared sense of ownership for the product because there is no typical hierarchy with a team supervisor and the work is structured collectively.

This sense of ownership boosts morale, provides the team direction and encourages everyone to work more efficiently.

 

When should a Scrum team be used?

Scrum teams can work on a wide range of software development projects, including whole software packages, client projects and internal projects. While Scrum is a flexible and beneficial technique for many sorts of projects, there are a few criteria to detect when it is best implemented.

 

When there is a lack of clarity in the requirements

Clients sometimes have a broad vision for their product but lack specific needs. This makes estimating the scope of time and costs—which is required for fixed-cost projects or more traditional methodologies—difficult.

 

Scrum is designed to adapt to changing requirements, making it a perfect fit for projects with ambiguous objectives.

 

When should you expect modifications during the development process?

Scrum, on the other hand, is particularly well suited to projects that anticipate changes during development. Even when requirements are clearly established from the start, this can happen.

Changes in the business climate or evolving technologies, for example, can have an impact on product requirements in the middle of a project. Scrum's agile structure makes it simple to pivot as the development process progresses to accommodate changes.

 

When the project is difficult

Traditional development techniques struggle to address complex challenges effectively and efficiently. The more complicated the project is, the more complications can surface as it progresses.

Scrum is well-suited to complicated projects since it breaks them down incrementally and repeatedly. Scrum teams work on the project piece by piece, changing as they go rather than trying to predict all of the requirements in one plan at the start.

 

Selecting the Right Scrum Team Members

You must assemble the appropriate personnel to form a successful Scrum team. But what exactly are you looking for?

 

A good Scrum team consists of the following members:

  • Taking responsibility for the job as a group
  • Self-contained and self-organizing
  • balanced and cross-functional
  • Everyone works full-time together and is co-located.

 

Also, seek for a product owner who is 100% committed to the project. They must be completely involved in order for the team to have the proper priorities and guiding criteria.

 

The size of a Scrum Team

A Scrum team should have no more than 9 members. The recommended Scrum team size for major enterprise projects is seven individuals (product owner, scrum master and 5 developers). Smaller projects usually include four people on the team (product owner, scrum master and 2 developers). Smaller teams would not be considered Scrum, as all actions would require a lot of overhead.

 

Tip for the Scrum Team - Keep your team simply and consistent. Do not attempt to begin your first project by creating new positions or bringing on temporary team members. This just adds to the misunderstanding about expectations and responsibilities, posing risks.

 

Final Thoughts

Despite the fact that Scrum is simple to deploy, consistently delivering meaningful value is never simple. In order to flourish in an Agile environment, teams must commit to the process as well as their own personal and collective development. Those that do will be the ones who stay ahead of the game.

 

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The Importance of Documentation in Project Management

Introduction

Project management leaders are frequently asked, "What is the value of project documentation and how can I be sure I'm doing it correctly?" Project documentation is undeniably important in project management education. It is substantiated by the basic two tasks of documentation: ensuring that project requirements are met and establishing traceability of what has been done, who has done it and when it was done.

 

For both individual documents and the entire project documentation, documentation must set the groundwork for quality, traceability and history. It's also critical that the documentation is well-organized, simple to read and sufficient.

 

Uses of Documentation in Project

Project managers with a lot of experience excel at creating and following standard templates for their project documentation. 

Uses of Documentation in Project

They repurpose successful project plans, business cases, requirement sheets and project status reports to allow them to concentrate on their core expertise of project management rather than balancing the unmanageable paperwork.

 

Phases of Project Documentation in Detail

Phases of Project Documentation in Detail

  1. Feasibility Report - A feasibility report's goal is to look into and highlight task needs in order to see if the project is worthwhile and possible. Five key variables are used to determine feasibility: technology and system, economics, legal, operational and timetable. Market, resource, cultural and financial issues are secondary feasibility criteria.

 

  1. Project Charter - The project overview statement is another name for the project charter. A project charter lays the groundwork for a project by containing high-level planning components. It serves as an anchor, keeping you focused on the project's goals and leading you through the milestones as a navigator. It is the project's formal approval.

 

  1. Requirement Specification - A requirement specification document contains a detailed description of the system that will be built. It includes both functional and non-functional needs for all interactions users will have with the system.

 

  1. Design Document - The design document displays the system's high- and low-level design components. The high-level design document is gradually expanded to contain low-level design details. The architectural strategies of the system are described in this document.

 

  1. Work Plan/Estimate - A work plan lays out the phases, activities and tasks that must be completed in order to complete a project. A work plan also shows the timescales for completing a project, as well as resources and milestones. Throughout the project, the work plan is referenced frequently. The most important document for delivering projects successfully is the actual progress report, which is reviewed daily against the stated plan.

 

  1. Traceability Matrix - A traceability matrix is a table that links a requirement to the tests that must be performed to ensure that it is met. Backward and forward traceability is provided by a usable traceability matrix: a requirement can be traced to a test and a test can be traced to a requirement.

 

  1. Issue Tracker - An issue tracker keeps track of and handles a list of problems. It allows you to create issues, assign them to people and keep track of their progress and present duties. It also contributes to the creation of a knowledge base that contains information on how to solve frequent difficulties.

 

  1. Change Management Document - A change management document is used to track progress and keep track of any system modifications. This aids in the identification of unanticipated negative consequences of a change.

 

  1. Test Document - A test strategy and test cases are included in a test document. A test case is a step-by-step technique for thoroughly testing a feature or a feature's aspect. A test case specifies how to run a specific test, whereas a test plan describes what to test.

 

  1. Technical Document - Product definition and specification, design, manufacturing/development, quality assurance, product/system liability, product presentation, description of features, functions and interfaces, safe and proper use, service and repair of a technical product and safe disposal are all covered in the technical document.

 

  1. Functional Document - The inner workings of the proposed system are defined by functional requirements. They are missing the details on how the system function will be accomplished. Instead, the documentation for this project focuses on what other agents (such as people or computers) might see when engaging with the system.

 

  1. User Manual - The User Manual is the system's standard operating procedure.

 

  1. Rollout or Transition Plan - The rollout plan offers step-by-step directions for implementing the system in a company. It entails the step-by-step and phase-by-phase planning of the deployment. It also explains the system's training regimen.

 

  1. The Handover Document - The handover document is a summary of the system with a list of all the system's deliverables.

 

  1. Contract Closure - The process of fulfilling all tasks and terms that were listed as deliverable and outstanding at the contract's initial writing is known as contract closure. This only applies to tasks that are outsourced.

 

What is the significance of documentation in project management?

 

Many inexperienced project managers are perplexed as to why documentation is so necessary. A new project manager's concern is heightened by documentation. She is expected to complete various assignments while adhering to strict deadlines. However, let me caution you against skipping the documentation section at any cost in order to compensate for your time constraints. 

What is the significance of documentation in project management

A project manager's ability to manage his or her time is essential. On a similar topic, documentation is crucial if you want to improve your project management skills. In the end, having a competent set of project management papers will pay off. As a project management expert, you'll have a rewarding career if you manage project documentation well.


 

Consider the following scenarios to learn more about the value of project documentation:

 

  1. In project management, a project charter is the first blueprint document. It assists a project manager in comprehending the project's background and objectives. It also aids in the creation of a project plan for achieving deliverables. In fact, this document provides guidance for the project manager and team as they navigate through the project life cycle. There will be no clarity to begin the project without this paper in the first place.

 

  1. As a project manager, you may be working on several projects at the same time. Your task is to complete all of the projects at hand according to the agreed-upon deadlines and perks. Measure project deliverables against the project management strategy to make sure you're on track. As a result, throughout the project life cycle, the project management plan is an important part of your documentation. It's a live document that is updated on a frequent basis during a project so that it can accomplish its goal in real-time.

 

  1. The project manager and team are responsible for informing important stakeholders about project progress. But who to connect with, when to communicate and how to communicate are all important considerations. A well-thought-out communication plan is an answer to these questions. With this document in place, you and your team will not miss any important aspects of communication.

 

  1. Project Scheduling is yet another document that can assist you in navigating a project by keeping track of events. It's critical to keep track of the project's progress at all times. It also aids in making necessary modifications. A project manager's ability to stay on track is a basic necessity.

 

  1. The project team's biggest issue is figuring out how to get started on the project. Some of the projects are so complicated that they may necessitate a significant amount of time and effort to finish. Another crucial factor for a project manager is a work plan. It specifies the entire project work organization down to the activity level. Rather than focusing on the entire corpus of work, resources can readily be allotted to smaller activities. The work breakdown structure aids in the division of difficult work into manageable work packages.

 

  1. For a project manager and his team, understanding project requirements and tracking deliverables to ensure that requirements are satisfied are equally crucial. To ensure project success, the product/service requirements and objectives must be met. A project manager should go over the requirements plan and make sure everything is clear. The ability to comprehend requirements is critical to project success. A requirement traceability matrix is a crucial document for tracing requirements to deliverables.

 

  1. A project manager's goal is to complete the project on time and within budget. What if a project's cost overruns in the middle of the project? It could be due to a lack of expected cost calculations at the activity level or a lack of cost monitoring throughout the project cycle. It will very definitely reject the project. As a result, the cost estimate becomes an important aspect of the paperwork for estimating project costs. If assumptions are established, make sure they're correctly recorded in the Assumption log. In order to stick to a budget, make sure to keep track of and regulate the project's costs according to the cost estimate.

 

Conclusion

Proper project documentation is obviously a necessary component of project management, but it is also incredibly beneficial in keeping projects going along quickly, ensuring that all stakeholders are kept up to date and assisting the company in making better changes in future projects. We hope you found this information helpful and we wish you luck on your PMP certification path.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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Professional Certification Training:

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Quality Management Training:

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Business Analysis Training by iCert Global:

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Top Essential Tips for Running a Successful Scrum Meeting

Introduction

Scrum is a method for dealing with complexity. Consider it a simple framework that enables teams to collaborate more effectively when working on large projects. Scrum is a software development approach that is part of the agile methodology. It's made for small groups working in "sprints," or brief periods of time of no more than 30 days and frequently no more than two weeks. They keep track of their progress through brief meetings.

 

"Standup meetings," "daily scrums," or a scrum meeting" are short daily exchanges that last about 15 minutes. They're also known as stand-up meetings since team members typically stand up throughout them, which is a wonderful way to keep meetings brief. When it comes to scrum meetings, it's all about efficiency.

But aside from standing up, are there any other strategies to get the most out of your scrum meeting? If you're in charge of running a scrum meeting, keep it short, get people involved and make sure everyone on the scrum team knows what they need to do next when you break.

 

What Does a Daily Scrum Meeting Entail?

A daily scrum meeting is usually held in the morning and in the same location each day. It'll be easier to integrate into a routine as a result and thus less likely to be forgotten or postponed. It's critical to begin a scrum meeting early since it sets the tone for the rest of the day's activities.

Daily Scrum Meeting Entail

As previously said, the goal is to keep it brief and sweet. Limit yourself to the fundamentals. Get the information that needs to be given out to the public in a clear and timely manner. The goal is to get the team to commit rather than just participate on a superficial level.

 

The daily scrum meeting must be attended by everyone from the scrum master, who is the expert, to the team members. They've all agreed to take part and are expected to do so. Others, such as salespeople or project managers, are welcome to attend but simply to listen.

 

11 Pointers for a Successful Scrum Meeting

11 Pointers for a Successful Scrum Meeting

1) Stay on track with your meetings

Making sure the meeting stays on track is the first step toward an efficient Scrum meeting. To do this, the only topics that should be discussed at this time are what each team member is working on and the challenges they're facing.

 

Many people propose that each team member answer these three questions, and just these three questions, during the daily Scrum to get this information through.
 

  1. What have you been up to since the previous meeting? Team members discuss whether or not their previous day's responsibilities were met.
  2. What are your plans for today? Team members share what they're working on today and what they'll have accomplished by tomorrow's daily stand-up.
  3. What are your problems? Members of the team discuss where they are having difficulties with specific areas of the project.

 

When it's their turn, your team should respond to each of these questions without prompting from you. If one of the questions is missed, make sure you get a response before going on to the next person. The team will only have a true idea of what everyone is doing if they answer all three questions.

 

2) Meetings should not be used to solve problems

One thing to keep in mind is that problems cannot be handled at daily Scrum sessions in order for them to be productive. While the third question draws attention to problems, these problems may not affect the entire team. 

 

As a result, spending too much time discussing these issues with the entire team is not an effective use of team time. For the time being, call "parking lot" and put the issues on hold. Schedule a problem-solving meeting with the people who are affected by these issues after the daily stand-up. Targeted issue resolution will be possible using this method.

 

3) Members of the team should be prepared ahead of time

Your team members should be able to answer those questions without your urging, as described in the explanation of the three questions. You must outline what you expect to hear from your team every day in order for this to happen.

 

Your team members should come prepared with answers on a daily basis once you've established those expectations. Reward those who do and put those who don't aside. Explain how having these responses prepared helps the team and hence the project stays on schedule.

 

4) Keep the meetings brief

Overly long daily scrums are ineffective. People become sidetracked, quit paying attention and talk for much too long. As a result, your staff starts to dislike these meetings and communication breaks down. That is why it is critical to keep your meeting time to a minimum. People are more inclined to pay attention and find them necessary if they are shorter.

 

The daily stand-up should last about 15 minutes for a productive meeting. Some people use the formula 2n + 5 minutes, where n is the total number of people on their squad. In either case, following the 3-question rule will ensure that your team gets all of the information they require within the time constraints.

 

5) Stand up Meetings

Some people believe that forcing everyone to stand during the daily Scrum meeting will keep the meeting on track and on time. And let's face it, the logic is sound. Nobody wants to stand around and talk for an hour.

 

By encouraging your team to stand, you're demonstrating your dedication to staying on track and your meetings will be more productive as a result.

 

6) Don't expect everyone to arrive at the same time

Did you say the Scrum meeting began at 8:30 a.m.? Then begin at 8:30 a.m. Waiting for everyone to arrive wastes time and the meeting becomes less successful as a result. Allow folks to trickle in after you start the meeting when you said you would.

 

However, this does not imply that you should let people get away with arriving late. Incentivize your staff to arrive on time, or disgrace those who are late. Anyone who arrives after the meeting has begun should explain why they are late. 

 

Nobody enjoys being repeatedly chastised for being late. Is there another option? Make them wear a dunce hat for the day if they're late. It's not a fashionable statement that everyone approves of.

 

7) Ensure that the meetings are held on a daily basis

If you're doing daily Scrum meetings, make sure they're exactly that. This is necessary to ensure that team members are aware of what is and is not being completed.

 

Minor concerns tend to be missed, pile up and eventually become larger difficulties if these Scrum sessions are held infrequently. To make these meetings as effective as possible in getting the programme up and running, consistent communication is essential.

 

8) Have a set of rules for who gets to speak and when they get to speak

Only one person should talk at a time during the Scrum meeting. They should have the floor and should only be interrupted if they stray from the topic. (When they do, someone will usually yell "Rat Hole" to remind them to keep on topic.) 

 

Allowing people to speak freely guarantees that everyone is heard and no misunderstandings occur. Similarly, during the daily stand-up, only the ScrumMaster and team members should talk. Stakeholders are welcome to participate, however any issues should be discussed with the Scrum Master after the meeting has concluded.

 

Allowing more than the most important team members to speak nearly always leads to the meeting going off track and lasting far longer than it should. You're more than capable of giving the team a stakeholder message.

 

9) Don't let your team's attention be drawn to the ScrumMaster

The ScrumMaster is in charge of the meeting, but it doesn't mean the team members should only look at you when speaking. This is team communication time, so they should be looking at their teammates.

 

If you're a ScrumMaster and you see that your team is speaking to you rather than their other teammates, take a step back from the circle and stand to the side. This will force your employees to communicate with one another rather than you. The project will become more communal, communication will improve and meetings will be more effective as a result.

 

10) Meetings should be devoid of technology

Everyone is attached to devices as tech professionals. Allowing your team to bring their laptops or phones to the daily Scrum meeting is one location where you must enforce the parting of ways. These devices may cause distractions and a productive Scrum meeting will never take place while individuals are indulged on their phones.

 

Conclusion

At the end of the day, the most important aspects of hosting an efficient Scrum meeting are staying on track and on time. To do this, establish ground rules for what can and cannot be discussed, ensure that your team members speak with one another and prohibit the use of technical gadgets. Your daily stand-ups will be more effective if you accomplish these things and you will contribute to a better product as a result. For more blogs you can check our website iCert Global for exclusive discounts on Certification Courses.

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Avoiding Common Mistakes as a Product Owner: Essential Guide

While top companies in industry including aerospace, architecture, banking, finance, construction and software product development have adopted the Agile Methodology to run all of their processes. Job possibilities in the Agile industry have exploded. Companies have learned about all of the benefits that Agile Methodology can provide and have begun to use it in recent years. 

 

If you don't, you'll need to find a new Product Owner (PO) or abandon Scrum altogether. Scrum is founded on the concept of an empowered, knowledgeable business leader directing the creation of a product (or service). Scrum falters and eventually fails when that person does not exist or is weak. A weak PO is frequently the product of someone who isn't totally immersed in their role.

 

Understanding the Scrum Framework

Scrum Framework is an Agile Principles and Practices-based iterative method to product development and delivery. Scrum is a framework for breaking down complicated and adaptive challenges into smaller parts and delivering high-value solutions in a creative and productive manner. Scrum is a framework for self-organizing teams to produce complicated products in short sprints.

 

Who is a Product Owner?

A Scrum Product Owner is a person who is in charge of maximizing the value of the product that the Developer has generated. Every product has a Product Owner who determines which Product Increments should be incorporated into the product to improve the return on investment. 

 Product Owner

Product Owners must also conduct market research in order to comprehend current trends and develop the Product Increment accordingly. They are the only person in charge of handling the Product Backlog.

 

5 Common Mistakes of a Product owner and how to avoid them

5 Common Mistakes of a Product owner and how to avoid them

  1. Excessive control of the team - A Product Owner must be familiar with all of the duties that have been allocated to them. Frequently, Product Owners grow so enamored with the Developer that they begin to dictate the team's responsibilities. 

They must understand that a Developer is a self-organizing group that discusses roles and duties amongst themselves. Micromanaging and scrutinizing each team member's technique and work would deplete the team's creativity and productivity. This is a common issue for new Product Owners, who are responsible for the success of the team's products.

 

How to Avoid them - To work in a completely Agile setting, Product Owners must avoid making this error and instill confidence in team members that they will do their tasks correctly. As a result, avoid micromanaging each stage and just assist the Developer when they are unsure about a certain component of the product and require assistance.


 

  1. Taking numerous items while being an outsider to the team - Product Owners frequently believe that they are not a member of the team and that they may work on many projects at the same time. They are nevertheless an  important member of the team and must remain on the same page as the rest of the group. 

 

For product clarifications, every Scrum Developer needs a Product Owner. The Product Owner is a member of the Scrum Team who is responsible for a single product. When they work on numerous goods, they are unable to devote their full attention and concentration to a single product and they are more likely to get distracted by other items while working on a single product.

 

How to avoid them - Because Product Owners are responsible for the product's return on investment and maximizing its value, they must concentrate on a single product and work successfully with the team to build it. The simplest approach to avoid the Product Owner making this common error is to avoid developing several products and separating yourself from the team.


 

  1. Lack of a Product Vision - A Product Owner is responsible for having a clear vision of the product. Without a product vision, the Product Owner is unable to prioritize Product Increments and has no direction for the product. In a state of chaos at work, where everything must be completed at the same time. A clear vision will help the developer envision the type of product they are creating. They wouldn't know what kind of product to expect if they didn't have it, which would lead to mistakes.

 

How to avoid them - A Product Owner's primary role is to have a vision and to be able to communicate with others so that everyone understands what is expected of them. Having a product vision will also assist the team in determining their Sprint Goals, which will allow them to focus on their needs as well as the organization's business value. After consulting with consumers and other stakeholders, a Product Owner's primary role is to define a vision for the product.


 

  1. Lack of complete knowledge about the Product - As a new Product Owner, professionals are too focused on Developers, Customers and other aspects to notice the product itself. Without knowledge of the product, the Product Owner will be confused when prioritizing things in the Product Backlog since he or she will be unable to determine which Product Increment is more critical. They couldn't properly answer product-related questions and they couldn't get the Developers and Stakeholders to comprehend the product's features and purpose.

 

How to avoid them - It is the Product Owner's responsibility to know the product thoroughly. Product knowledge is critical because it serves as the foundation for product development and delivery. The Product Owner should understand who the product is for, what problem it answers and how to answer any product-related questions.

 

As a PO, they represent the product and must therefore memorize all pertinent product information. As a new Product Owner, it is critical to understand the tasks of a Product Owner and to fulfill them efficiently by thoroughly understanding the product that they are in charge of.


 

  1. Does not possess the necessary business knowledge and abilities - More than just managing Product Backlogs and having a vision for the product is required of a Product Owner. Understanding product requirements is only one aspect of business knowledge. Customers, market competitiveness and current market trends must all be understood by the individual. 

 

It is difficult for Product Owners to make decisions for the product unless they have a thorough understanding of the business side of the product. Other Stakeholders may also draft these decisions, which the Product Owner is unable to review. When a product fails to deliver actual value in the market, the Stakeholder assumes responsibility.

 

How to avoid them - To avoid such scenarios, Product Owners must-have commercial skills such as communication, negotiation and market trend analysis among others. One of the most important skills for a Product Owner to have is the ability to negotiate. The Product Owner may accept everything the customer says without negotiating. 

 

On the other hand, the Product Owners can create Product Increments with genuine value in the product by negotiating. As a result, business knowledge and abilities are critical elements in determining how effective a Product Owner may be.

 

Responsibilities of a Product Owner

Responsibilities of a Product Owner


 

  1. Product Backlog Management entails a variety of responsibilities related to the Product Backlog. They are as follows: 
  • Clearly expressing the Product Backlog items.
  • Identifying the items that must be added to the Product Backlog in order to achieve the greatest mission and goals possible.
  • Assessing the Developer's contribution to the project.
  • To ensure that the Product Backlog is visible, understandable and transparent, as well as to inform the Scrum Team about their next task.
  • Prioritizing items in the Product Backlog depending on their relevance.


 

  1. Before a product is developed, it is necessary to communicate with customers and understand their demands in order to build a clear vision of the product.
  • Working with the Developer to understand their concerns about a certain Product Increment.
  • Anticipating a customer's wants and ensuring that the consumer is happy.
  • Increasing the company's business value by maximizing product value.

 

For any firm to succeed, the Product Owner's needs must be respected throughout the organization. Their decisions are visible in the content and the Developer must adhere to them. Because Product Owners have a variety of responsibilities, making mistakes is not an option.

As a result, they must comprehend the Product Owner's most prevalent errors so that they may learn from them, improve and avoid making the same mistakes. This would ensure that Product Owners are performing at their best, resulting in the Scrum Team's success and eventually the organization's success.

 

Final Thoughts

Product Owners are essential members of the Scrum Team, with a variety of responsibilities that contribute to the success of product development and delivery. They are expected to perform flawlessly in order to ensure that all processes relating to the product's business side function properly. However, because it is natural for humans to make mistakes, the Product Owner is bound to make a few mistakes that will impede the Scrum Team and the organization.

Making errors and learning from them is a fantastic approach to improve oneself. As a result, a thorough awareness of the common mistakes made by Product Owners can assist aspiring Product Owners in avoiding them and becoming better Scrum professionals.

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Custom Project Management Solutions for Small Businesses

Projects serve as the foundation for an organization's growth and success. When projects go wrong, growth comes to a halt, and success becomes a mirage. In today's fast-paced corporate world, an organisation must manage numerous initiatives at the same time. This raises the risk of project failure and emphasises the necessity to standardise processes throughout the project lifecycle, from planning to delivery. Project management solutions can help in this situation. Better scheduling, communication, and budget management are all made easier with project management software. These solutions also make it easier for teams that had to operate remotely when the COVID-19 pandemic struck to collaborate. Furthermore, especially for larger projects, the technologies make it simple to distribute work to team members.

 

Project Management Solutions for Small Businesses are:

  1. ConnectWise manage -
    Software that automates processes ConnectWise Manage is designed for firms that provide technological solutions, such as cloud service providers, software developers, professional services, IT service providers, telecom, and security. This industry's project teams benefit from its focused solutions, particularly when it comes to coordination and collaboration. 

Project Management Solutions for Small Businesses

It organises documents so that everyone has complete visibility into many factors that aid strategic decision-making. Its capabilities include managing project resources and budgets, reporting individual tasks, and tracking progress toward deadlines, to name a few. ConnectWise Manage price is based on a quote-only basis, allowing you to customise the functionality to your specific needs.
 

  1. ProntoForms -
    ProntoForms is a forms automation technology that makes data collecting on mobile devices, particularly for remote workers, simple. The system streamlines mobile workflows by allowing field agents to access company data directly from their mobile devices. 

ProntoForms

Following that, the results will be automatically shared with office workers or cloud/in-house services that collect and process the data. ProntoForms helps companies track and measure the effects of their field activities in order to give them relevant data for improving their performance.
 

  1. Zoho Projects -
    Zoho Projects is a widely used project management tool in a variety of sectors. Its extremely customisable interface is the reason behind this. Costume designers to construction companies are among the business users. This merely goes to illustrate how adaptable the programme is. 

Zoho Projects

Kanban boards, time logging, budgeting, and expense monitoring are all important project management elements. It also comes with a slew of collaborative tools. Modules for managing team forums and conversations are included. This is in addition to standard capabilities such as group chat, commenting, and file sharing. Users can also access Zoho Projects through the company's native iOS and Android apps. They will be able to keep track of the progress and status of their initiatives in this manner.
 

  1. Project Manager -
    Project management software that is hosted in the cloud ProjectManager is a powerful solution that blends collaboration with project planning and scheduling. Project creation, work scheduling, resource allocation, and progress tracking are just a few of the basic features. 

Project Manager

It offers a drag-and-drop feature that lets you easily change your schedules while engaging with your team via file attachments and comments. But it's the ProjectManager's ability to compare actual and anticipated project progress that sets it apart from the competition. This allows you to monitor how well or poorly your initiatives are progressing and make necessary adjustments.
 

  1. Fiix -
    Fiix, a cloud-based CMMS, is a cutting-edge asset maintenance software that makes the shift from reactive to preventative maintenance a breeze. The solution, which comes with a comprehensive set of features, makes it simple for maintenance teams to organise, schedule, and monitor all maintenance tasks. Furthermore, the platform makes it simple for facilities to manage work orders, track inventories, and arrange assets. 

Fiix

The app's extensive capabilities make it simple to keep track of the status and health of mission-critical equipment. From a single comprehensive dashboard, you can add equipment, construct asset hierarchy, categorise assets, and clone records. Fiix also makes it simple to produce work orders that include specific work instructions, notes, task lists, and project papers. As a result, maintenance pandemonium is eliminated, and the optimum use of available assets and resources is maximised.
 

  1. Celoxis -
    Celoxis project management software offers users a one-of-a-kind combination of project management and resource management features. It is praised for being a comprehensive business solution that can be tailored to meet the demands of a specific company. This is due to its extensive set of process automation technologies. Users can simply create their own apps using custom fields, routing rules, and escalation procedures with these. Planning, tracking, accounting, and portfolio management are among the project management modules available. 

Celoxis

Celoxis provides tools for resource management that allow users to quickly assign resources based on demand, skill, and availability. It has complex capacity planning features, such as handling numerous sites and shifts, exceptions, and holidays. Celoxis also notifies project managers of resource allocation danger areas and overloads automatically. It includes fundamental capabilities such as timesheets and expenses, as well as timers and other trackers.
 

  1. monday.com -
    monday.com is a collaboration platform for businesses of all kinds, including small and medium-sized businesses. By controlling workloads and boosting communication, this project management software helps teams operate more efficiently. It aids in the management of schedules and plans for the future by providing a visual timeline that members can see at a glance. 

monday.com

Monday.com's pricing choices are designed for growing enterprises with as little as five users. Start with collaboration features (starting at $39 per month) and work your way up to more complex features like APIs and integrations with this scalable solution. When your team grows, you won't have to worry because you can upgrade to over 200 users.
 

  1. Smartsheet -
    Smartsheet, a web-based collaboration programme, was created to assist businesses with project and task management, sales funnel monitoring, and crowdsourcing, among other things. It's as simple to use as a spreadsheet, but it's a lot more powerful. Visual timeline management, debates, file sharing, and automatic workflow are just a few of the remarkable features. Smartsheet's design has a spreadsheet-like feel to it, making it a familiar tool for many people who can quickly learn how to use it. 

Smartsheet

Many processes, such as fundamental business operations, projects, and programmes, can be managed by the solution. The ability to manage project planning, automation, tracking, and reporting is at the heart of Smartsheet's strength. It alters the way project teams collaborate, enabling them to complete activities such as marketing campaigns, operations management, and event preparation. By enhancing cooperation, the platform fosters increased productivity and agility. Decision-making is also made more accurate and faster because of the information offered by the system's reports.
 

  1. Hippo CMMS -
    Maintenance management system that is simple to use Hippo CMMS is a cloud-based, all-in-one maintenance management system that automates preventative maintenance, inventory management, work order management, equipment maintenance, and more. The platform offers powerful solutions for facilities management in a variety of industries, including hospitals, stadiums, manufacturing plants, resorts, and municipalities. It coordinates the maintenance process, allowing firms to get ahead of the game faster than usual, saving both time and manpower. 

Hippo CMMS

Hippo CMMS helps facilities execute preventative maintenance to reduce downtimes by getting reactive maintenance out of the way. It also makes it simple to manage and reduce some of the factors that eat into earnings, such as overtime labour costs, unplanned repairs, manufacturing errors, and workplace injuries. The most crucial characteristic is that, despite handling complex procedures, Hippo CMMS has a user-friendly interface. The user-friendly console facilitates efficient and straightforward maintenance management.
 

  1. Scoro -
    Scoro, a cloud-based corporate management software, is designed to improve workflow efficiency. It has a lot of features, like project management, task management, customer management, and invoice management, to name a few. A lot of the information entered into the system can be linked to a built-in calendar to further optimise processes. Projects, tasks, and internal affairs can all be scheduled there. 

Scoro

Scoro's users have access to a wide variety of tools. Complex jobs can be divided into sections and delegated to team members. Because the platform's task tables are customisable, team members can convert the tasks into to-do lists. On the other side, managers can use the scheduling module to schedule upcoming projects and ensure that project activities do not overlap.
 

  1. Awork -
    Awork is a collaboration-focused project management software. The cloud-based platform automates a variety of company processes, including marketing, project management, event planning, and more. It enables you to oversee many productive teams, manage work, organise projects, and keep track of time. 

Awork

It brings together a number of functions that are critical to your workflow. Automotive project planning and team planning are included in the platform. You may create useful reports to help you make the best decision possible at the correct time. It also gives you complete control over different permissions and roles.
 

  1. Trello -
    Trello is a Kanban-based project management tool that gives you a rapid overview of the state and progress of your entire project. It can categorise boards into many groups, such as strategic initiatives, business teams, and board types, to name a few.

Trello

This makes it easier to observe who is doing what and which tasks require immediate attention. Trello is also an open-ended programme, which means that it may be used by small firms to organise projects of any kind. It's also useful for keeping track of colleague meetings and managing your organization's daily goals. Furthermore, by establishing an issue and assigning someone to handle it, the system aids in the detection of bottlenecks even before they develop.

 

Final Thoughts 

Purchasing project management software for a small firm might be difficult. You may be unable to make a timely decision due to a variety of factors, including budgetary constraints, especially in the event of a pandemic. As a result, before you go out and buy a system, make sure you really need one. Keep in mind that these items are intended for projects that have set start and finish dates. You'd be better off using business project management solutions for routine tasks.

 

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Six Sigma Control Plan: Key attributes and strategies!!

Six Sigma approaches are known for their data-driven, rational approach to problem solving. However, what genuinely distinguishes them from other quality theories is their adaptability and applicability in situations other than manufacturing, where they were born. 
 

One of the primary goals of Lean Six Sigma is to eliminate superfluous stages and waste in a process or business model. In Lean methodology, any process that adds no value is eliminated in order to improve efficiency, workflow and profitability.


Organizations develop control plans to assist company leaders in monitoring metrics, documenting successes and making modifications for continuous process improvement. A control plan is a way for documenting the functional aspects of quality control that will be performed to ensure that quality standards for a specific product or service are satisfied.


This control plan could be prepared for a process, a phase in the process, a piece of process equipment and so on. Take a short look at the requirements and techniques for a Six Sigma Control Plan here.
 

What is a plan for Six Sigma Control?

A control plan is a written overview of the process that lays out in detail the steps to be followed to keep a process or a device working at its current level of performance in the field of quality management. Control plans outline each stage of the process as well as the metrics that must be tracked to ensure that a batch of products has no major deviations from the mean or variation.

Control plans are a key component of the Six Sigma methodology set and are widely used by Six Sigma practitioners.

 

What Is A Six Sigma Control Plan's Purpose?

"The goal of the control plan," according to the American Society For Quality (ASQ), "is to ensure that performance improvements produced by the project team are sustained throughout time."
 

The plan is generated during the define, measure, analyze, improve, control (DMAIC) approach's improvement phase, or a comparable phase in other techniques.

In essence, a Control Plan would include a summary of all important information for a given project so that the quality specialist can determine if the project is on track and, in the event of deviations, delays or excessive overheads, corrective action may be taken. As a result, the Control Plan is updated to reflect any process changes, such as (but not limited to): 

  • Changing or tweaking a step in the process
  • A stage in the process is added or removed.
  • Changes to human resource and training requirements.
  • Equipment used in the process is added or removed.
  • Changes to capital and funding inflows and outflows.

The Control Plan template is developed at the start of a project and is created following consultation with or participation from all project stakeholders, beginning with the process or product owner.

 

Why should you use a Control Plan?

A Control Plan serves as a single point of reference for learning about the process's features, specifications and standard operating procedures (SOP). For each action in the process, a CP allows for the assignment of responsibility and allocation of liability. 
 

This guarantees that the process runs smoothly and that it is long-term viable. A properly-designed control plan aids the process and product owners in tracking, correcting the performance of the KPIVs and KPOVs, as well as avoiding negative business impacts from faults and process deterioration (Key Performance Input and Output Variables).

 

Attributes and Strategies

A well-organized control plan can assist firms in monitoring growth, preventing process degradation and ensuring that problems do not repeat. 

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When building a Lean Six Sigma control strategy, consider the following seven attributes and strategies:

  1. Measurements and specifications –
    One of the characteristics of a well-organized control plan is the ability to maintain quality in all elements of a process. Customer satisfaction can be used to determine quality. Processes can fulfill customer-approved specifications by identifying quality features and measuring them to derive quality standards.
     
  2. Input-Output Process —
    The Input-Output (IPO) model aids in the identification of processing tasks required to convert inputs into outputs. The IPO approach contributes to a well-organized way of studying and recording components of the transformation process while determining what actions to take to help attain the intended output.
     
  3. Process Execution –
    A control plan can help improve process performance by designing error-proofing measures that aim to remove errors in a process as much as feasible. Poka-yoke, which literally means "to avoid errors" is a prominent Six Sigma strategy used to eliminate waste.
     
  4. Performance Reporting and Sampling —
    A control plan can also help address when to conduct performance management reviews, how frequently such reviews should be conducted and what products or services should be inspected for mistakes. An organized control plan answers all questions and assists organizations in conducting an accurate assessment of process efficiency.
     
  5. Documenting Information —
    Control plan information should be accessible to anybody in the firm who needs it. Furthermore, information should be classified to aid in the organization planning and management of firm data. 
     
  6. Adjustments –
    Process improvement or making adjustments to address issues, decrease waste and minimize costs, is a crucial aspect of the Lean Six Sigma method. When an issue is identified, corrective action is required to avoid production delays and error recurrence.
     
  7. The Process Owner -
    Process owners typically have the authority to review, alter and adjust process operations. They are responsible for product demand and customer satisfaction. Among other things, they evaluate production performance using process evaluations, measurements and statistics.

 

What Is Included In A Standard Control Plan?

A Control Plan might have as many or as few things as necessary to cover the breadth of the process or project at hand. A Control Plan often includes the following items:

https://lh4.googleusercontent.com/QGhLJaf_m1ZPtnD-2bi2hPPp2Et7tlMy8popQKJmfF_AUxRGnAiDyRtBt1wkG_KQa7YrpzK7A8RiiNNeLbOysMgWwfJqSscAKklloNlc_tU7IOq2f5yGKqSvCKdGeJ2b7w

  • Process Flowchart: A visual representation of the process workflow with decision-making phases highlighted is included in many Control Plans. This provides a high-level overview of the process that may be referred to at any time and by any stakeholder.
  • The CTQs (or critical-to-quality trees) are the essential quantifiable and measurable qualities of a product or process that must be reached in order to satisfy the customer's performance criteria or specification limits. This makes it easier to match design specs to client needs.
  • Process Phase: This column contains the name or label of the process step. For example, in a backyard garage, a polishing operation using lathes may opt to include tool preparation, rough polishing, fine polishing and delivery as the many processes involved in the overall process.
  • Specification: A specific characteristic of the product must be identified for measurement before a CTQ can be quantified: this column is used to record the characteristic of a specification. For example, the diameter of the polished shaft.
  • Specs: This item can be used to keep track of the numerical values of the specifications as well as the measurement unit. Internal diameter: 4mm; exterior diameter: 7.5mm, for example.
  • Measurement: This column can be used to document the measuring method that was employed. Vernier calipers, for example.
  • Sample Size: The size of the sample used for measurement.
  • Frequency of Measurement: Indicates how frequently samples are selected for measurement. Hourly, daily and so on.
  • Corrective Action: Any corrective actions made during that stage of the process are documented and recorded for future reference.
  • Standards: For manufacturing operations and control plans used in organizations, the quality standard followed as well as the SOP (Standard Operating Procedure) guidelines followed can be recorded.
  • Additional documentation may include fields such as the person taking the measurement, the date, place and time the recording was made, the revision number and version control, the location and so on.

 

Strategy Overview for a Control Plan

Successful Six Sigma control plans are built on well-thought-out tactics that reduce the need for process tampering. They list the steps that must be taken to deal with out-of-control situations and raise suitable signs that indicate the necessity for Kaizen operations. Furthermore, these methods outline the necessary training to ensure that team members are familiar with basic operating procedures.

https://lh6.googleusercontent.com/v0-Yzo_n1NehPhC9EjxgRvryeOCA0Aq-i1rJR2tnEUDaO50DqMMDoSGTg6EzvQtC6hLSP61zAbWbonqW8SkbjFlWNt38b1qaJP-3_6WASIRlQDRK1HqnsJbj08QjF8ts3w

In a nutshell, a well-written control plan lays out all of the steps that must be followed, who is responsible for which processes and how to avoid the "firefighting" syndrome while dealing with any variations.

 

Conclusion

Control is one of the last steps in the Lean Six Sigma process improvement roadmap of Define-Measure-Analyze-Improve-Control (DMAIC). One of the most important aspects of the 'Control' stage is the development of a well-thought-out control strategy to reduce the risk of unfavorable business consequences due to process deterioration. 
 

A control plan often comprises the steps that must be completed on a timely basis, particularly when performance metrics fall outside of a pre-defined, intended range. Furthermore, an organizational mechanism must be in place so that all process owners may be held accountable for the execution of the various sections of the control plan, particularly those that pertain to their areas of operations.
 

This control plan must be created by the process owner and his assigned team in order to improve service quality. This strategy should be adaptable enough to be revised in response to assessments and changes that occur after its implementation.

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Exploring the Real World of Quality Management Practices.

Organizations throughout the world are increasingly resorting to the tried-and-true bastions of quality control and quality management as they strive to perfect their operations and stay competitive. Lean Six Sigma (LSS) has long been a cornerstone of quality management best practices, with impressive results across a wide range of sectors and critical business processes.
 

It is a data-driven business management methodology that aims to improve product quality and process excellence by decreasing waste and increasing the value of every stage of the product or service lifecycle. 

Real-world quality management

According to a recent study, about 20% of companies intend to use cross-functional quality processes and teams across design, manufacturing and service. For years, practitioners of Lean Six Sigma and other quality management methodologies have prospered.
 

To understand Real-world quality management, consider the following:

  • The act of managing all activities and duties required to achieve a specified degree of perfection is known as quality management.
  • Quality management entails establishing a quality strategy, developing and implementing quality assurance and planning, as well as quality control and improvement.
  • Total Quality Management (TQM) necessitates collaboration among all stakeholders in a business to improve processes, products, services and the company's culture.

The overall quality approach explains the culture, mindset and organization that commits to providing better products and services that meet the needs of customers. Total quality management is a management technique that entails the process of improving employer-employee connections and consumer-business relationships in order to achieve better results in the production of goods and services. Let's take a look, how the concepts are managed in real-world situations.

 

What is the concept of quality management?

The act of overseeing various operations and duties inside a company to guarantee that the products and services given, as well as the means employed to produce them, are consistent is known as quality management. It assists the company in achieving and maintaining a targeted level of quality.

What is the concept of quality management

There are four main components to quality management, which are as follows:

  1. Quality Planning - The process of determining the project's quality criteria and determining how to meet them.
  2. Quality Improvement - The deliberate alteration of a process in order to improve the outcome confidence or reliability.
  3. Quality Control - The ongoing endeavor to maintain the integrity and dependability of a process in reaching a goal.
  4. Quality Assurance - The systematic or planned actions required to provide sufficient reliability so that a certain service or product meets the defined requirements.
     

Quality management is to guarantee that all stakeholders in an organization collaborate to improve the company's procedures, products, services and culture in order to achieve long-term success based on customer satisfaction.

Quality management is a set of guidelines produced by a team to ensure that the products and services they produce meet the appropriate standards or are suitable for a certain purpose.
 

  • The process begins when the organization establishes quality goals that are agreed upon by both the client and the organization.
  • After that, the organization determines how the goals will be measured. It performs the steps required to assess quality. It then finds and corrects any quality concerns that have arisen.
  • The final step is to report on the overall degree of quality that has been attained.

The procedure ensures that the team's products and services meet the consumers' expectations.
 

Methods for Improving Quality

Product improvement, process improvement and people-based improvement are the three components of quality improvement approaches. There are a variety of quality management strategies and procedures that can be used. 

Methods for Improving Quality

Kaizen, Zero Defect Programs, Six Sigma, Quality Circle, Taguchi Methods, Toyota Production System, Kansei Engineering, TRIZ, BPR, OQRM, ISO and Top-Down & Bottom-Up methodologies are just a few of them.
 

Example of Quality Management

Toyota Corporation's application of the Kanban system is a shining example of excellent quality management. Kanban is an inventory control technique created by Taiichi Ohno to assist in minimizing the accumulation of surplus inventory on the manufacturing line at any given time by providing visibility to both suppliers and purchasers. 

Toyota adopted the notion to implement their Just-in-Time (JIT) system, which lets suppliers synchronize raw material orders with production schedules directly. Toyota's manufacturing line improved efficiency by ensuring that the corporation had just enough inventory on hand to match client orders as they came in.
 

Improving the quality of manufacturing and the supply chain

Manufacturing enterprises are among the best examples of how Lean Six Sigma can aid in the development of high-quality products. For example, in North America, 3M recently used LSS principles in their design and manufacturing capabilities for compressed natural gas systems.

They used cutting-edge materials, technology and Lean Six Sigma experience to improve the overall quality and durability of their natural gas tanks, making them 30% lighter and with 10% more storage than competing tank types. 3M has also devised a long-term strategy to accomplish financial and customer goals by using Lean Six Sigma across manufacturing, supply chain and even customer service.

Manufacturers benefit not only from supplying higher-quality products to customers (with fewer flaws to rectify) but also from the speed with which they can handle issues that arise once they reach the end consumer. This ongoing plan includes quality management as a key component.
 

The Construction Industry's Quality Management

Construction is a one-time yet creative activity, therefore it's important to keep in mind that it's costly and time-consuming to reproduce a structure (or similar). TQM is used to reduce costs and increase productivity and it is possible to track efforts if results improve. Quality in the construction sector is determined by the level of satisfaction of the designer, builder and homeowners.

 

Getting Rid of Defects in Pharmaceuticals

Companies that create products that have an influence on the health and safety of daily consumers have a responsibility to ensure that the creation and testing of these items are done in a way that minimizes risk. 

Pharmaceutical companies come under this group and they are required by law to ensure that their products are safe. Lean Six Sigma concepts, according to a recent LinkedIn article, may help firms attain this level of confidence in their processes to the point where they are nearly error-free. 

LSS is used by pharmaceutical companies to implement end-to-end product testing, predict and eliminate errors during the development and testing life cycles and, as a result, improve product quality and meet compliance requirements. LSS assists them in reducing the risk of passing on tainted or ineffective medications, which can have serious health consequences for patients.
 

Onboarding Procedures in Healthcare

Long and complicated business processes are well-known in the healthcare industry. One example is Johns Hopkins All Children's Hospital (JHACH), which had a slow and inefficient provider enrollment process (taking up to six months to onboard providers). 

JHACH patients who rely on those providers have had their visits with physicians delayed or they have had to see a whole new physician, resulting in dissatisfied patients and low customer satisfaction with the process. 

JHACH boosted the number of hospital-employed providers who are active with health plans by nearly 30% by using the Lean Six Sigma workflow, consolidating departments and building a monitoring tool to monitor every stage of the process.

In the long run, the key to hospital business is cost and quality treatment. These principles should be followed by organizations for the best results.

  • The patient should come first and the organization should prioritize the customer's needs; treatment should be the top priority.
  • A good and engaging leader is in demand and a good leader should always be cautious and able to keep employees engaged in the organization's goals.
  • Employee participation means that each employee, even doctors, should feel responsible for their work and become involved in it; only then can the organization benefit from the business.
  • The organization must prioritize improvement and conduct regular audits in order to improve the environment.
     

Software Products of Higher Quality

Software quality assurance (QA) engineers play a critical role in ensuring that software solutions meet stringent quality standards and perform as expected. Certification as a Certified Tester Foundation Level (CTFL) is a requirement for anyone working in the software development and testing industry. 

However, actions can be taken to increase quality earlier in the development lifecycle. Lean Six Sigma can assist businesses in reducing waste and superfluous cycles, allowing them to produce items faster and with higher quality.
 

Among the most essential areas where LSS can help are:

  • Value stream analysis is used to discover and eliminate non-value contributed operations.
  • Establishing a strategy for obtaining customer feedback and approval on requirements prior to the commencement of development work.
  • Establishing a knowledge management system in which all reusable components are stored in a knowledge base and can be accessed later.
  • Benchmarking with other team members in order to implement best practices without having to reinvent the wheel every time.
  • Resource usage to determine what is being overused and underutilized and to take corrective or preventive measures.

 

Quality Oriented Culture

Total Quality Management (TQM) is a phrase used by quality experts to describe the use of quality concepts at all levels of a business. While TQM has typically implied widespread use of process tools and analytical procedures, the definition has broadened to include the entire organization's larger cultural norms. 

The extension of TQM to cover both explicit efforts by people to enhance Quality and the underlying beliefs, philosophies and behaviors on which those efforts are based are referred to as Culture of Quality.

Quality Oriented Culture

A successful Quality Culture is one in which the organization's core Quality values, such as a focus on responding to customer needs and the importance of data-based decision-making and workers' basic assumptions about the nature of human relationships and their places in the world, such as the value of collaborative relationships among people with common goals and the importance of developing long-term personal connections, are closely integrated.

Because core values are overtly expressed and understood at all levels of the organization, they are relatively easy to measure. Even the people who hold basic ideas typically resist explicit analysis, making participation at this level challenging.

A Culture of Quality can only be achieved when leaders and employees have a common understanding of not only the core values and processes they utilize and promote but also their underlying assumptions about the nature of work and human interactions on which those core values are based.
 

Quality Management Principles

The International Standard for Quality Management adheres to a number of quality management concepts. Top management uses these ideas to guide an organization's procedures toward higher performance. They are as follows:

Quality Management Principles

1) Customer Service Focus

The fundamental goal of every firm should be to satisfy and surpass the expectations and needs of its consumers. When a company can understand and cater to its consumers' current and future demands, it builds client loyalty, which leads to increased income. 

The company is also capable of identifying and satisfying new consumer opportunities. When business operations are more efficient, quality improves and more customers are able to be satisfied.
 

2) People's Participation

Another important aspect is employee involvement. Whether full-time, part-time, outsourced, or in-house, management engages employees in developing and delivering value. Employees should be encouraged to continually develop their abilities and maintain consistency in their work. 

Empowering employees, including them in decision-making and acknowledging their accomplishments are all part of this philosophy. People work to their full potential when they feel valued, as it enhances their confidence and motivation. Employees feel empowered and accountable for their actions when they are fully involved.
 

3) Leadership

Good leadership leads to the success of an organization. Great leadership creates a sense of purpose and togetherness among employees and shareholders. Creating a vibrant corporate culture creates an internal climate in which people may completely fulfill their potential and actively participate in attaining company goals. 

Employees should be involved in the development of clear organizational goals and objectives by leaders. Employees are motivated as a result and their productivity and loyalty may improve dramatically.
 

4) Approach to the Process

According to the process approach principle, an organization's performance is critical. The approach principle focuses on improving organizational processes' efficiency and effectiveness. 

The concept assumes that good processes lead to increased consistency, faster actions, lower costs, waste elimination and continual improvement. When leaders can manage and control the organization's inputs and outputs, as well as the processes that produce the outputs, the organization benefits.
 

5) Continuous Enhancement

Every organization should have a goal to actively participate in continuous development. Businesses that continuously improve see a higher performance, organizational flexibility and the ability to seize new possibilities. Businesses should be able to constantly establish new procedures and adapt to changing market conditions.
 

6) Making Decisions Based on Evidence

Businesses should use a data-driven approach to decision-making. Businesses that base their decisions on verified and studied data have a better understanding of the market. They may complete tasks that provide the necessary results and justify their previous actions. 

Factual decision making is critical for understanding the cause-and-effect relationships of various things and explaining probable unintended repercussions and results.
 

7) Management of Relationships

Creating mutually beneficial relationships with suppliers and retailers is the goal of relationship management. A company's performance can be influenced by a variety of stakeholders.

To maximize their impact on the company's success, the organization should manage the supply chain process well and enhance the relationship between the organization and its suppliers. When an organization effectively manages its relationships with interested parties, it is more likely to achieve long-term business success and collaboration.
 

The Advantages of Quality Management

The Advantages of Quality Management

  • It assists an organization in achieving more consistency in the tasks and activities associated with the production of products and services.
  • It enhances process efficiency, minimizes waste and makes better use of time and other resources.
  • It contributes to increased consumer satisfaction.
  • It enables enterprises to efficiently sell their products and enter new markets.
  • It makes it easier for organizations to integrate new personnel, allowing them to manage growth more smoothly.
  • It enables a company to constantly enhance its goods, processes and systems.

 

Conclusion

Customers understand the importance of quality in products and services. Suppliers know that quality can be a key differentiator between their own and competitors' offers (quality differentiation is also called the quality gap).
 

The quality gap between competing products and services has narrowed dramatically during the last two decades. This is due in part to manufacturing contracting (also known as outsourcing) to nations such as China and India, as well as the internationalization of commerce and competition. 
 

In order to fulfill worldwide standards and client needs, these countries, among many others, have upgraded their own quality requirements. Quality culture, the relevance of knowledge management and the role of leadership in promoting and achieving high quality have all become more prominent themes.
 

Systems thinking, for example, is bringing more holistic methods to quality management, in which people, processes and products are all examined together rather than as separate components in quality management.
 

Quality culture has been acknowledged by government agencies and industrial organizations that regulate products as a way to help enterprises develop those items. According to a survey of more than 60 global organizations, companies with a bad quality culture had increased costs of $67 million per year for every 5000 employees compared to companies with a good quality culture.

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How DevOps Principles Can Impact Your Entire Business!!

As DevOps has become more established in the IT industry and the larger corporate world—no it's longer considered "new"—some tech pros have begun to see it as more than a method for fostering collaborative working relationships between developers and operations specialists. This is why, even if you don't want to deploy DevOps with your software development team, familiarising yourself with DevOps ideas and practises is a smart idea. Other organisations can benefit from the DevOps methodology's lessons, which go beyond high-quality software development. 

 

What is DevOps?

Development and operations are referred to as DevOps. It's a method for combining development, quality assurance, and operations (deployment and integration) into a single, continuous workflow. This strategy is a natural extension of Agile and continuous delivery methodologies. Companies obtain three primary advantages by implementing DevOps, which span technical, business, and cultural elements of development. 
 

7 Principles of DevOps:

The terms "principles" and "best practises" are not interchangeable. Best practises are universal ideals that may be applied to any situation. Consider these to be more generic, broadly acknowledged quality criteria that may be applied to any sector. 

7 Principles of DevOps

Principles, on the other hand, are more focused on a product or goal. The principles apply to the DevOps methodology in this case.

  1. Automate -
    As much of the procedure as possible should be automated by the DevOps team. Continuous Integration/Continuous Delivery (CI/CD), infrastructure provisioning, security compliance verification tests, functionality tests, and software deployment can all benefit from automation. The more procedures you can automate, the safer, faster, and more reliable your product will be.
     
  2. Make a Collaborative Workplace -
    DevOps links together development and operations teams, implying a collaborative environment and a single team pursuing common goals. As a result, the teams are encouraged to work together to communicate, develop, share ideas, and solve problems. Furthermore, this collaboration must begin at the top and work its way down, with executive support at the forefront.
     
  3. Encourage Continual Improvement -
    Customer needs evolve, technology advances, and regulatory bodies enact new rules. DevOps teams deliver a high-quality product and work to enhance its performance, compliance, and speed over time. As a result, the tale does not end with the release of the final product; the team continues to monitor the application to guarantee that it remains relevant in an ever-changing world.
     
  4. Keep an eye on the procedure continuously -
    The DevOps team should not only construct the CI/CD pipeline, but they should also supplement it with continuous monitoring. The DevOps team must keep an eye on apps, logs, infrastructure, and systems for any concerns. When a problem is discovered, the team can swiftly restore the application to its earlier state and fix the problem. Continuous monitoring also identifies productivity issues that could stymie pipeline production.
     
  5. End-to-end accountability should be implemented -
    The classic software development approach separated the roles of software developers and operations. However, under DevOps, both groups are responsible for the application from beginning to end.
     
  6. Failure isn't something to be afraid of, try to learn from it -
    Of course, no one enjoys failing. Rather than viewing failure as a personal setback, teams must adopt a new mindset that views failure as an opportunity to learn something. To put it another way, learn from your errors. After all, mistakes are bound to happen; why not take advantage of them?
     
  7. Everything revolves around the customer -
    You don't need to produce a product if you don't have any clients. You don't have a job if you don't have to generate a product. As a result, DevOps teams must offer a solution that fulfils the needs of the consumer. DevOps teams must always be on the lookout for the client's voice in order to stay up with their ever-changing requirements.

Advantages of DevOps Principles

Advantages of DevOps Principles

In order to adopt the DevOps principle, there are three essential benefits of DevOps Principles.

  1. Product quality improves and is released more quickly! The DevOps philosophy embraces the CI/CD infrastructure, which enables faster releases of bug-free apps. As a result, problems are discovered early in the development process, rather than after the product has been released.
  2. Customer needs are met more quickly. Businesses must release things that customers demand in today's competitive digital economy. Prospective clients will move their business elsewhere if your company can't do it. DevOps enables teams to respond more quickly to changing client demands and wants, allowing them to roll out new updates and features more quickly. Customer loyalty and retention improve as a result of this procedure.
  3. It contributes to a more pleasant working atmosphere. Any successful relationship, including ties between team members and other people in the firm, is built on communication. DevOps introduces strategies and principles that promote improved collaboration, communication, and cooperation. As a result of the increased communication, morale increases, resulting in a healthier and more productive working environment.

 

Impact of Devops Principles on your entire Business

Impact of Devops Principles on your entire Business

  1. Fast Delivery Time:
    DevOps' key principles – automation, continuous delivery, and a quick feedback cycle – are all aimed at making the software development process go faster and more efficiently. DevOps is an evolutionary extension of the Agile methodology that uses automation to ensure a seamless SDLC flow. By encouraging a collaborative culture, it is possible to receive immediate and ongoing input, allowing any bugs to be repaired quickly and releases to be completed more quickly.

     
  2. High levels of communication amongst teams:
    Development teams must now, more than ever, break through inter-departmental barriers and interact and communicate in a dynamic, round–the–clock environment. DevOps opens the way for greater business agility by fostering a culture of reciprocal collaboration, communication, and integration across an IT organization's internationally distributed teams. In such a positive DevOps environment, the previously established roles-based boundaries are blurring. The quality and timeliness of deliverables are the responsibility of the entire team.
     
  3. Early discovery of flaws:
    The collaborative DevOps environment encourages team members to share their knowledge. The code is continuously monitored and tested, which helps to enhance the overall build quality. Teams are given the freedom to exchange their input with one another, allowing for early detection and resolution of errors.
     
  4. Increased client satisfaction:
    Organizations may enhance their deployment frequency by 200x, recovery durations by 24x, and change failure rates by 3x by implementing DevOps. It is feasible to assure the dependability and stability of an application after each new release by automating the delivery pipeline. Organizations gain from increased customer satisfaction when applications work flawlessly in production.
     
  5. Continuous Deployment and Release:
    Today's software development processes necessitate teams delivering high-quality software on a consistent basis, reducing time-to-market, and adapting shorter release cycles. DevOps makes this possible by automating the process. The Dev and Ops teams can develop and integrate code nearly instantly with the help of an automated CI/CD pipeline. Furthermore, when QA is embedded and automated, it looks after the code's quality. As a result, DevOps encourages more efficiency, higher quality, and more frequent and continuous releases.
     
  6. Mindset for innovation:
    DevOps automated operations, distributes efficient releases, and ensures that builds are of high quality. This means that the deployment phases are more relaxed, the teams are more rested, and there is a lot of room for creative problem-solving.
     

Culture of DevOps

DevOps automated operations, distributes efficient releases, and ensures that builds are of high quality. This means that the deployment phases are more relaxed, the teams are more rested, and there is a lot of room for creative problem-solving.

  • Collaboration and communication are ongoing - The DevOps culture is built on these two pillars. DevOps teams must work as a cohesive one while keeping all of their members' needs and expectations in mind.
  • Changes that are gradual - Rather than releasing everything at once and risking a faulty product, incremental rollouts allow delivery teams to deliver a high-quality product to end-users while also allowing them to make improvements and roll back work if issues occur. It's far preferable to make changes while the product is still being developed than to have to remove a full release to fix bugs and other errors.
  • End-to-end accountability is shared - When every member of a development team is working toward the same goal and has equal accountability for a project from start to end, they form a cohesive unit. This single-mindedness fosters cooperation and teamwork by pushing individuals to look for methods to make their teammates' jobs easier.
  • Problem-solving at an early stage - Tasks must be done as early in the project lifecycle as possible, according to the DevOps philosophy. If there are any issues, they will be addressed and remedied much more quickly this way. This strategy ensures that the project stays on track.

 

Best Practices of DevOps

Best Practices of DevOps

Here is a list of DevOps best practises that may be used to any application design project at any stage:

  • Automate dashboards to allow team members and executives to immediately identify bottlenecks and examine issues.
  • Ensure that applications are properly monitored, which is normally done automatically, so that development teams may immediately spot production code issues.
  • Take advantage of continuous deployment tools to quickly add new features.
  • Create system-wide frameworks to simplify configuration management, consolidate activities, and provide IT directors more visibility.
  • As soon as possible, elicit active participation from stakeholders.
  • Using automated testing, developers and testers should test code frequently and early.
  • Bring change management into every stage of the project, and a bigger audience will be exposed to enterprise-level concerns.
  • After you release new releases, make sure users have access to development assistance.
  • Define and implement your integrated deployment best practises across internal and external groups.
  • Maintain code repositories on a regular basis and ensure that updates are seamlessly integrated into workflows.
  • Maintain code repositories on a regular basis and ensure that updates are seamlessly integrated into workflows.
  • Continuous delivery allows you to build, test, and release code more quickly.

 

Overview of DevOps

The phrase "devOps" is a portmanteau that combines the terms "development" and "operations." DevOps is a set of software development concepts that binds the two groups together into a single entity dedicated to achieving a common set of objectives, notably in the creation of software applications. It isn't a product at all. It does not necessitate any specialised hardware or infrastructure. To implement DevOps, all you need is a willingness to adopt its ideals and principles and adapt them to your company's needs.

DevOps allows software designers to reduce time to market and make essential incremental enhancements in reaction to unanticipated changes, all while working inside a CI/CD (continuous integration and continuous delivery) framework. As a result, the development process has been streamlined.

 

The Businesses should adopt DevOps

A firm can profit from DevOps in their automation of business operations by utilising cloud platforms and collaborative environments. Here's how:

  1. Efficiency and Quality -
    The procedure will result in enhanced quality software solutions that can represent real-time needs, as it suggests continuous integration (CI) and continuous deployment/delivery (CD) methodologies.
     
  2. Data Management Processes are Changing -
    DevOps breaks down code bases into manageable parts, allowing for rapid resolution of issues followed by effective deployment. Because it is built on agile approaches, it has resulted in faster procedures and a lower failure rate. Many beneficial characteristics of DevOps adoption include security, data management, a synchronised environment, and well-defined operations.
     
  3. Short Span of Development -
    DevOps facilitates faster delivery of software modules by focusing on team collaboration and communication. It shortens the software development life cycle and produces effective results because there is less risk and more clarity regarding ultimate objectives.
     

How can DevOps help several Companies

  1. Better Build Quality:
    DevOps fosters a culture of knowledge and information exchange by bringing development and operations closer together. As a result, it combines dev-centric criteria like features, performance, and reusability with ops-centric attributes like deployability and maintainability to improve code quality overall. DevOps aids in driving not only better initial code quality but also enhanced testing when we evaluate the distribution of deployment frequency, deployment leads to time, and mean time to recover (MTTR). This collaboration eventually leads to greater code quality and stability as a result of this continuous delivery improvement, plazacash.
     
  2. Better Scale Economies:
    DevOps also brings sound automation to the table, in addition to successful communication. This capability can be used by businesses to automate repetitive processes without fear of errors. Regression and performance testing, for example, can quickly bring about a tiny modification. Through periodic backups and rollovers, development can become more resilient and stable. Companies can save a lot of money if all of these functions are automated. If a company's scope is large, this can result in significant financial savings.
     
  3. Improved Recovery:
    Businesses must contend with the potential of IT failure. This is detrimental for a company's reputation, especially if it affects the customer-facing side of the organisation. Internally, they have the potential to hurt the company's bottom line. According to the Puppet report, DevOps improves failure rates while reducing recovery times by 24 times. This is largely owing to DevOps' iterative and continuous development style, which allows for modifications in the event of a crisis. You're more likely to fail and have a horrible recovery if you're publishing hundreds of changes in one major deployment. Because you'll have to start coding and deploying from scratch, you'll have to reinvent the wheel again.

     
  4. Agile Application Delivery:
    Traditionally, the development team writes the code first, then tests it in a controlled environment before handing it over to the operations team for production. Because the two teams aren't on the same page when it comes to infrastructure, configuration, deployment, log management, and performance monitoring, there are a lot of misconceptions. As a result, the manufacturing process is slowed. Companies may actually expedite delivery and reduce release time by using DevOps, which brings coordination among all IT-related teams. Furthermore, it enables for early error detection, ensuring that code is always in a releasable form. Companies can go to market in a timely manner and gain a competitive advantage as a result of the combined effects of all of these factors.
     
  5. There Is No Struggle Between Stability and New Features:
    In non-DevOps environments, the conflict between releasing new features and maintaining stability is typical. This is due to the fact that development teams are judged on the updates they offer to consumers, whereas operations teams are judged on the system's overall health. The entire team is involved in assuring new features and stability in a DevOps environment. Because the code isn't thrown at the operations team at the end of the process, the combination of a shared code base, continuous integration, test-driven approaches, and automated deploys exposes problems earlier in the process. Furthermore, DevOps engineers can immediately assess the impact of application modifications thanks to real-time data. Because team members do not have to wait for another team to troubleshoot and repair the problem, resolution times are shorter.
     

Final Thoughts

Surviving in a cutthroat competitive world is as challenging as walking on a tightrope for IT organisations. They understand how critical it is to develop goods faster and reduce release cycles if they want to reap the rewards of being an early entrant in the market. DevOps, with its capacity to automate firms' delivery pipelines, can be a silver bullet for IT companies in this situation.
 

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7 Reasons to Choose CBAP Certification for Career Growth

Since its inception, the field of business analysis has been on the rise. A large surge in new entrants starting a career in business analysis has occurred. It also entails seasoned specialists making the switch to business analysis. There is little doubt that in today's competitive environment, a widely accepted certification is essential. That will make the business analyst stand out from the crowd by displaying evidence. 
 

A Business Analyst has the necessary expertise, knowledge and experience in this profession. Obtaining CBAP Certification will also assist a business analyst in mastering various concepts, tools and techniques and abilities. It entails the abilities needed to succeed and advance in their chosen field.
 

The Certified Business Analysis Professional (CBAP) credential is designed to assist professionals to gain new skills and competence in great documentation, competent planning and business solution creation. 
 

The CBAP certification exam preparation course adheres to IIBA's high standards, ensuring continuing advancement in the field of business analysis. CBAP business analyst certification qualifies professionals to keep up with rapid developments in the IT industry and to be competent in all stages of business analysis.
 

Certified Business Analysis Professional (CBAP)

The Certified Business Analysis ProfessionalTM (CBAP®) certification is without a doubt the most well-known in the field of business analysis. It is a professional certification for people who have worked in the field of business analysis for a long time. 

Certified Business Analysis Professional (CBAP)

Professionals who are senior members of the IIBA community should pursue CBAP Certification. 

With more than five years of actual expertise in business analysis. According to the International Institute of Business AnalysisTM (IIBA®), demand for business analysts will increase by 14% by 2024. For those with aptitude and education to enter the area with globally recognised professional qualifications, business analysis is a stable career choice.
 

Who can get benefits from CBAP Certification?

  • Analyst for Business Systems
  • Business Analyst (Intermediate to Advanced)
  • Analyst for Information Systems
  • Architect or Designer of Systems
  • Team leader or project manager
  • Director/Manager of Information Technology

 

Reasons: Why should you choose CBAP Certification for your career?

A Certified Business Analysis Professional is someone who has earned the CBAP credential from the prestigious IIBA (International Institute of Business Analysis) after passing the CBAP exam. 

Why should you choose CBAP Certification for your career?

CBAP certified owners have years of experience in business analysis and are experts at identifying an organisation's business requirements. 

 

They recommend the best business solutions for businesses to maximise their profits. The most fundamental and best-suited candidates for the CBAP certification programme are business analysis and systems analysis.

  1. A Platform for Networking -
    The CBAP certification process provides a fantastic opportunity to network with industry leaders. Group study sessions and interactions with other business analysts will expose you to a multitude of opportunities, ideas and, most importantly, relationships that will be invaluable as you pursue your career goals.
     
  2. Development of a Knowledge Base -
    The CBAP certification learning process will provide you with the knowledge that you would not have gained from job experience alone. With an effective academic procedure, your present knowledge base will be enlarged across businesses and industries and the integrated courseware spans numerous circumstances and goes in-depth with concepts and solutions.

    With such a knowledge base at your disposal, your career options will grow beyond the extension of previous organisations and jobs and you will be able to think outside of the industries you have previously worked in.
     
  3. Display Industry Best Practises -
    Professionals having certifications that indicate certain industry standards are sought by employers all around the world. Client-facing business analyst positions are bolstered by certifications such as the CBAP, which demonstrate the organisation's commitment to the global process and delivery standards.

    It serves as proof of efficiency to the organisation's stakeholders. Proven industry standards also go a long way toward offering dependable and higher-quality results that have been tried and tested by professionals all over the world.
     
  4. Relationships with Other Business Analysts -
    The certification process often leads to opportunities to network with other business analysts. While solitary study is likely to pass the exam, most practical study techniques include joining a study group or taking a certification preparation course.

    Communication regarding the BABOK Guide takes place in study groups and prep courses with various business analysts. As a consequence, you will get a better understanding of how different business analysts work and a new perspective on business analysis tasks and methodologies.
     
  5. Enhanced Fulfilment as a Result of Increased Confidence -
    The CBAP® certification study method gives an extensive understanding of essential business analysis disciplines. To a business analyst, approaches, underlying competencies and varied views are all important. Such a broad range of experience could not be gained merely through work experience. 


    A business analyst's understanding of in-depth business analysis principles aids them in implementing what they've learned in complicated and hard tasks, boosting their chances of success. With the incentives that come with achievement, there is even more motivation to put what you've learned to use. When desired outcomes are achieved, it increases satisfaction.
     
  6. A member of the BA Professional Community's Elite -
    Only about 12K+ CBAP® experts exist in the world, making this group of business analysts the crème de la crème. As a member of this exclusive group, a business analyst gains access to unrivalled networking possibilities and opportunities to communicate with peers. 
    When dealing with obstacles in an assignment, this assists a business analyst in gaining insights. Either way, get some ideas for the next steps in your profession. Networking with experts that share a similar career path is a great way to come up with a well-thought-out strategy for attaining a goal or overcoming a hurdle.
     
  7. Recap Your Professional Life -
    The Graph Certified Business Analysis Professional (CBAP) certification will empower you to advance your business analysis career. The application process allows applicants to describe and summarise their own business analysis experience.

    This is an exercise that will provide you with a new perspective on your business analysis journey thus far, as well as a glimpse of how much you have already received and the limitless possibilities that lay ahead.
     

Skills you will get with CBAP Certification

  • The most important parts of the Business Analysis Body of Knowledge should be explained and identified (BABOK).
  • Keep track of your progress and identify any gaps in your business analysis knowledge.
  • Determine which topics from the CBAP certification training course you'll need to pass the exams and obtain your CBAP certification.
  • For the application procedure, combine your business analysis experience and education.
  • For the exams, use decisive business analysis knowledge.
     

Popular Business Analysis Certification - CBAP

The CBAP certification is the most common business analysis certification in the world and it aligns with the IIBA's CBAP 2016 version. It will enable you to get the abilities necessary to become a business analysis specialist while also allowing you to pass the IIBA–CBAP exam on the first try.

Popular Business Analysis Certification - CBAP

This course will help you gain experience in the six BABOK Guide Version 3 knowledge areas: business analysis planning and monitoring, elicitation, requirements management and communication, enterprise analysis, requirements analysis and solution assessment and validation.

 

Who is a Certified Business Analysis Professional?

A Certified Business Analysis Professional (CBAP) is someone who has passed the CBAP exam and received the CBAP title from the prestigious IIBA (International Institute of Business Analysis). CBAP holders have extensive knowledge in business analysis and are skilled at identifying an organisation's business needs. 

They recommend the greatest business solutions for businesses to maximize their profits. The most prevalent and best-suited candidates for the CBAP certification programme are business analysis and systems analysis.

 

CBAP vs. CCBA vs. ECBA

The CBAP is the most advanced of the IIBA's core sequence of business analyst credentials. It comes after the Entry Certificate in Business Analysis (ECBA) and the Certification for Business Analysis Competency (CCBA). As you progress up the ladder, the standards get more stringent: CBAP demands greater training, work experience and knowledge area expertise.

CBAP vs. CCBA vs. ECBA

While you don't need to have the lower-level certs to acquire your CBAP certification, you should be reasonably well established in your profession as a BA before you contemplate it. 

 

Conclusion 

A Business Analyst is required because Business Analysis is such an important aspect of any organisation's ability to recognise the needs of the business. As a result, there is a significant demand for highly skilled and knowledgeable analysts. Choosing CBAP as a career can validate your abilities and improve your profile, allowing you to be hired by a reputable organisation.

The greater performance will lead to advancement in your job. In their current employment, they have received promotions and a pay raise. The Business Analyst Certification will also offer up new chances for a prospective professional advancement in the industry.

According to the 2020 Global Business Analysis Salary Survey Report from the International Institute of Business AnalysisTM (IIBA®). Business analysts with at least one certification earn 13% more than those who are not certified.

Overall, the CBAP certification is a valuable asset for any aspiring business analyst. This certification will keep you on top of your game while also laying the groundwork for other industry certifications and qualifications, as well as the benefits that come with more experience.

CBAP® candidates may have their unique motives for pursuing this in-demand certification. However, one thing is certain: once they become CBAP®. There is a very good chance that all of the advantages will be implemented.
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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AI’s Impact on the Future of Work and Life

For a time now, Artificial Intelligence has been a big trend in tech development and you may have noticed it becoming one of the most in-demand areas of knowledge for job seekers.

The word "artificial intelligence" conjures up images of sci-fi dreams or fears of machines taking over the planet. The media has depicted Artificial Intelligence in a variety of ways and while no one can foresee exactly how it will evolve in the future, current trends and advancements present a very different picture of how Artificial Intelligence will become a part of everyday life.

In actuality, Artificial Intelligence is already at work in almost every aspect of life, from search results to online dating prospects to shopping habits. Over the previous four years, the application of Artificial Intelligence in various corporate areas has increased by 270 percent

In today's tech industry, artificial intelligence (AI) is the most talked-about trend. Everyone seems to be interested in learning more about Artificial Intelligence and machine learning, because these technologies are game-changers in every way. As a result, Artificial Intelligence is likely to become the most in-demand area for jobs and skills, potentially eclipsing other fields of commerce.

The sound of the term is highly scientific and it conjures up images of robots taking over the globe and dominating every industry, much like in science fiction films. Nobody can say how deeply Artificial Intelligence will become a part of our lives or what the future of work will be with Artificial Intelligence integration because it is such a new field.
 

What is Artificial Intelligence (AI)?

Artificial intelligence is defined as the ability of a digital computer or computer-controlled robot to accomplish tasks often associated with intelligent beings.

Artificial Intelligence has become a catchall word for any advances in computing, systems and technology that allow computer programmes to accomplish jobs or solve issues that require the kind of reasoning that is associated with human intelligence, including learning from previous operations.

Artificial Intelligence relies heavily on this ability to learn. Algorithms are frequently associated with Artificial Intelligence, such as the dreaded Facebook algorithm that replaced all of our friends with sponsored material. However, there is an important distinction to be made.

 

The Future is Now: AI's Effects can be Found Everywhere

Modern Artificial Intelligence — more specifically, narrow Artificial Intelligence, which performs objective functions using data-trained models and often falls into the categories of deep learning or machine learning — has already impacted practically every major business. This has been especially true in recent years, as data gathering and analysis have increased dramatically because of improved IoT connection, the proliferation of connected devices and faster computer processing.

Some industries are only getting started using Artificial Intelligence, while others are seasoned veterans. Both have a lot of work ahead of them. Regardless, the impact of artificial intelligence on our daily lives is difficult to ignore:

 

  • Transportation: Autonomous automobiles will one day transport us from place to place, despite the fact that perfecting them could take a decade or more.
     
  • Manufacturing: AI-powered robots assist humans with a restricted range of tasks such as assembling and stacking, while predictive analysis sensors ensure that equipment runs smoothly.
     
  • Healthcare: Diseases are more quickly and reliably diagnosed, medication discovery is sped up and streamlined, virtual nursing assistants monitor patients and big data analysis helps to provide a more personalised patient experience in the comparatively AI-nascent field of healthcare.
     
  • Education: With the help of Artificial Intelligence, textbooks are digitised, early-stage virtual tutors assist human teachers and facial analysis assesses students' emotions to help discern who is struggling or bored and better adapt the experience to their unique requirements.
     
  • Media: Journalism, too, is utilising Artificial Intelligence and will continue to gain from it. Bloomberg employs Cyborg technology to assist in the interpretation of complex financial reports. The Associated Press uses Automated Insights' natural language capabilities to publish 3,700 earnings reports stories per year, approximately four times more than in the past.
     
  • Customer Service: Last but not least, Google is working on an Artificial Intelligence assistant that can make human-like phone calls to arrange appointments at places like your local hair salon. The technology comprehends context and nuance in addition to words.

 

Artificial Intelligence and Future of Work

With Artificial Intelligence comes the concern that humans will be supplanted by computers, resulting in a labour scarcity. It has long been predicted that newer technology will have a significant impact on the employment market and Artificial Intelligence is expected to have a significant impact on a variety of occupations. 

Aside from white-collar jobs and medical fields, regular service employment may be phased out and replaced by Artificial Intelligence and robotics. Machines, in comparison to people, can complete more activities in less time and with more efficiency. This explains why some human employment may be on the decline while others increase at a faster rate. 

There will also be jobs that will be affected by natural changes. Certain employment activities will be automated, which will benefit businesses, but it will also cause huge disruptions in other labour categories.

However, human workers will almost certainly not become obsolete as a result of Artificial Intelligence, at least not for a long time. To assuage some of your anxieties, robots are unlikely to take your work in the near future.

Given how artificial intelligence has been presented in the media, particularly in some of our favourite sci-fi films, it's understandable that the arrival of this technology has sparked fears that Artificial Intelligence would one day render humans useless in the workplace. After all, many tasks that were once performed by human hands have become automated as technology has progressed. It's understandable to be concerned that the advancement toward intelligent computers may herald the end of employment as we know it.
 

Better Opportunities for Business

Artificial Intelligence and automation are expected to increase corporate value and help to economic growth. With the introduction of autonomous vehicles and autonomous navigation, Artificial Intelligence is having an impact on the world of transportation and autos. Artificial Intelligence will have a significant impact on production, particularly the automotive industry. Artificial Intelligence advancements have enabled faster and more accurate classifications, estimates, product suggestions, as well as the detection of fraudulent acts or transactions, among other things. 

As a result, Artificial Intelligence technology has a huge potential to help with economic development and manufacturing. Artificial Intelligence is infiltrating and defining new standards in practically every industry and area and it is no longer isolated to the tech industry.
 

Cyber security and Artificial Intelligence

Many corporate leaders are concerned about cyber security, especially given the expected increase in cyber security incidents in 2020. During the pandemic, hackers targeted those who worked from home, as well as less protected technological equipment and Wi-Fi networks. 

In cyber security, Artificial Intelligence and machine learning will be key technologies for detecting and anticipating threats. Given its ability to analyse vast volumes of data and forecast and detect fraud, Artificial Intelligence will be a critical tool for financial security.

Most businesses and organisations are concerned about cyber security. Recent increases in cybercrime, as well as ever-changing hacking techniques, constitute a substantial threat to the cyber world, culminating in significant data or monetary losses for people who work from home. 

As a result, cyber security will be another area where Artificial Intelligence will be active, identifying and predicting any suspicious actions or fraudulent attempts. By being able to safeguard and process vast amounts of data, Artificial Intelligence and automation will improve cyber security.
 

Healthcare and Artificial Intelligence

The potential benefits of using Artificial Intelligence in medicine are now being investigated. The medical industry has a large amount of data that may be used to construct healthcare-related predictive models. In some diagnostic scenarios, Artificial Intelligence has been proven to be more effective than physicians.

With the use of Artificial Intelligence tools, internet titans such as Google are already partnering with the healthcare sector to develop programmes and software that can process user data and better identify potential dangers and signs of diseases in people. Artificial Intelligence will not be restricted to diagnosis; it will also be used to improve doctor-patient communication, surgical precision, patient care and maybe reduce death rates.
 

E-Commerce and Artificial Intelligence

Artificial intelligence (AI) will play a key role in determining the future of e-commerce. Whether it's user expectations, digital marketing, product distribution, or customer experience, Artificial Intelligence will propel e-commerce forward to new heights, thanks to the widespread usage of chatbots and buyer personalisation, among other things.

 

The Social Impact of Artificial Intelligence

1) Narrow: 'how routine is your job?' the impact of Artificial Intelligence on the workforce

Artificial Intelligence pioneer Kai-Fu Lee lauded Artificial Intelligence technology and its impending influence during a talk at Northwestern University last October, while also pointing out its drawbacks and limitations. 

'How routine is a job?' is a simple question to ask. And that is how probable a job will be replaced by Artificial Intelligence, because Artificial Intelligence may learn to optimise itself within everyday work. And the more quantitative the work, the more objective it is—sorting items into bins, washing dishes, picking fruits and taking customer service calls are all programmed, repetitive and routine jobs. They will be displaced by Artificial Intelligence in five, ten, or fifteen years.
 

Picking and packing activities are still undertaken by humans in the warehouses of online giant and Artificial Intelligence powerhouse Amazon, which buzz with over 100,000 robots – but that will change.

 

2) Easing the growing pains of an Artificial Intelligence-powered workforce through retraining and education

Lee, on the other hand, emphasised that today's Artificial Intelligence is useless in two ways: it lacks originality and has no ability for compassion or love. It's a tool to magnify human creativity, rather than an instrument to amplify human creativity. What is his solution? Those who work in jobs that require repetitive or routine tasks must learn new skills to avoid falling behind. Amazon even pays its employees to train for positions at other businesses.

 

One of the absolute criteria for Artificial Intelligence to succeed in many [areas] is that we invest massively in education to retrain people for new jobs, says Klara Nahrstedt, a computer science professor and director of the university's Coordinated Science Laboratory.

 

People need to learn programming as if it were a new language and they need to do it as soon as possible because it is the future. If you don't know how to code, you don't know how to program, it's only going to grow more difficult in the future.

And, while many individuals who are displaced by technology may find new jobs, Vandegrift believes this will take time. People finally got back on their feet, much as they did during America's transformation from an agrarian to an industrial economy during the Industrial Revolution, which contributed significantly to the Great Depression. The short-term impact, on the other hand, was enormous.
 

3) AI's near-future ramifications in rewards and punishment

Some of the most interesting Artificial Intelligence research and experimentation, in Mendelson's opinion, is taking place in two areas: reinforcement learning, which deals in rewards and punishment rather than labelled data and generative adversarial networks (GAN), which allow computer algorithms to create rather than just assess by pitting two nets against each other. 

The former is represented by Google DeepMind's AlphaGo Zero's Go-playing proficiency, while the latter is exemplified by original image or audio generation based on learning about a certain subject such as celebrities or a specific genre of music.

Artificial Intelligence has the potential to have a significant impact on sustainability, climate change and environmental challenges on a far larger scale. Cities will become less congested, less polluted and more livable in the long run, thanks in part to the deployment of smart sensors. Already, progress has been achieved.

You may prescribe certain policies and procedures once you forecast anything. Sensors on automobiles that convey data about traffic conditions, for example, could identify possible difficulties and improve traffic flow. By no means is this perfected. It's still in its early stages. However, it will play a significant role in the future.
 

4) Artificial intelligence and the future of privacy and human rights

Of course, the fact that Artificial Intelligence’s reliance on big data is already having a significant impact on privacy has been well discussed. Consider Cambridge Analytica's Facebook antics or Amazon's Alexa spying, just two examples of technology gone awry. Critics believe that without proper rules and self-imposed constraints, the situation would worsen. 

Apple CEO Tim Cook chastised Google and Facebook for greed-driven data mining in 2015. He remarked, They're sucking up everything they can discover about you and trying to commercialise it.

Artificial Intelligence can be beneficial to society if it is applied wisely. However, as with most developing technologies, there is a significant risk that commercial and government use will have a negative influence on human rights. Large volumes of data, both on individual and group activity, are frequently generated, collected, processed and shared in applications of these technologies. 

This information can be used to characterise people and forecast their future behaviour. While some of these applications, such as spam filters or suggested products for online shopping, may appear benign, others can have far-reaching consequences, posing new risks to the right to privacy and freedom of expression and information. 

Artificial Intelligence can also have an impact on the exercise of other rights, including as the right to an effective remedy, the right to a fair trial and the right to be free of discrimination.

 

Getting Ready for the Future of Artificial Intelligence

 

  • Helpful or homicidal: artificial general intelligence's fantastic possibilities

 

Stuart Russell, an internationally famous Artificial Intelligence expert stated, formal arrangement with journalists that I won't talk to them unless they promise not to put a Terminator robot in the article when speaking at London's Westminster Abbey in late November 2018. 

His remark displayed a clear disdain for Hollywood depictions of far-future Artificial Intelligence, which are often overdone and apocalyptic. Human-level Artificial Intelligence, often known as artificial general intelligence, has long been the stuff of science fiction. However, the odds of it being achieved in the near future, if at all, are minimal. 

There are still big advances to be made before we get anything close to human-level Artificial Intelligence, says the author. One example is the ability to truly comprehend the content of a language so that machines can translate between languages. When humans perform machine translation, they first comprehend the content before expressing it. And, at the moment, machines aren't particularly good at deciphering the meaning of language. 

If that aim is realised, the world will have systems capable of reading and comprehending all the human race has ever written, something that no human being can do. Once you're capable enough, you can query all of human knowledge and have it synthesise, integrate and answer questions that no human being has ever been able to answer because they haven't read and been able to connect the dots between things that have remained separate.

On that note, duplicating the human brain is extremely difficult, which is yet another argument for AGI's still-speculative future. John Laird, a long-serving University of Michigan engineering and computer science professor, has been conducting research in the topic for decades.

"The idea has always been to attempt to develop what we call the cognitive architecture, which we believe is innate to an intelligence system," he adds of his work, which is heavily influenced by human psychology. 

"For example, we know that the human brain is not merely a homogeneous collection of neurons. There is a true structure in terms of various components, some of which are linked to knowledge about how to perform things in the real world."
 

Importance of Artificial Intelligence

Because Artificial Intelligence is the cornerstone of computer learning, artificial intelligence is very crucial to our future. Computers can harness huge volumes of data and utilise their learned intelligence to make optimal decisions and discoveries in fractions of the time it takes people. Artificial intelligence is being credited with everything from cancer research advances to cutting-edge climate change research.
 

Artificial Intelligence will rule the world

Artificial intelligence is expected to have a long-term impact on almost every business. Artificial intelligence is already present in our smart devices, autos, healthcare systems and favourite apps and it will continue to pervade many additional industries in the foreseeable future.
 

How will Artificial Intelligence affect the future?

Artificial intelligence is influencing the future of almost every sector and every person on the planet. Artificial intelligence has acted as the driving force behind developing technologies such as big data, robotics and the Internet of Things and it will continue to do so for the foreseeable future.

 

Conclusion

Artificial intelligence is the most exciting and widely acknowledged branch of computer science, with a bright future ahead of it. AI may be enticed to have a computer perform human-like tasks. Artificial intelligence, to put it simply, is when machines think, learn and make decisions in the same way as humans do.

The future of work and living will be more advanced and efficient thanks to Artificial Intelligence, automation and machine learning. Artificial Intelligence will make it easier for organisations to spot problems and address them more effectively.

In terms of recruitment and cyber security, there will be significant improvements. We can suggest that Artificial Intelligence will remove ordinary human employment, increase career prospects in a particular industry and free up humans to focus on more creative endeavours.

Humans are still in the early stages of comprehending AI's potential and the different ways in which it may affect our economy. To further this understanding, all parties involved should engage in more social discussion (researchers, policy makers, industry representatives, politicians, etc). This is an important first step toward gaining a better understanding of the problems and opportunities presented by the new industrial revolution. And, while one should not jump to conclusions, the rapid advancement of technology may usher in disruptive forces in the market sooner than some might expect.
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development

Professional Certification Training:

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Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses

 

Scrum Training:

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Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses

 

DevOps Training:

- DevOps Certification Training Courses

 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses

 

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Top 8 Reasons to Master Ethical Hacking with Python Today

Hacking is the act of gaining access to a system that you are prohibited to have access to. Logging into an email account without authority, for example, is considered hacking. Hacking is the act of gaining unauthorised access to a remote computer. As you can see, there are numerous ways to break into a system and the term "hacking" can refer to a variety of activities, but the basic notion remains the same. Hacking is defined as gaining access to or being able to accomplish things that you aren't intended to be able to do.
 

Understanding the Importance of Python

Python is a general-purpose scripting language that has grown in popularity among professionals and amateurs alike due to its ease of use and robust libraries. Python is a very versatile programming language that can be used for practically any type of programming. Python may be used wherever and everywhere, from tiny scale scripts to large scale system applications. 

Understanding the Importance of Python

Python is actually used by NASA to programme its technology and space apparatus.

Python can also be used to manipulate text, display numbers or graphics, solve mathematical equations and store data. In short, Python is utilised behind the scenes on your devices to process a variety of items you might need or encounter.

 

What does Ethical Hacking actually mean?

Is it more important to crack passwords or steal data? No, there's a lot more to it. Ethical hacking is the process of scanning a computer or network for vulnerabilities and potential dangers. An ethical hacker identifies and reports weaknesses or vulnerabilities in a computer, web application, or network to the enterprise. So, let's take a step-by-step look at Ethical Hacking.
 

Types of ethical hackers you need to know

Types of ethical hackers you need to know

 

  1. White hat Hackers:-
    Here, we look for defects and report them to the organisation in an ethical manner. As a user, we have the authority to test for flaws on a website or network and report them. White hat hackers usually acquire all of the knowledge they need about the programme or network they're testing from the company itself. Before the website goes live or is attacked by malevolent hackers, they employ their skills to test it.
     
  2. Black hat Hackers -
    The organisation does not allow the user to test it in this case. They enter the website in an unethical manner and steal or change data from the admin panel. They are just concerned with themselves and the benefits they will derive from personal data for commercial gain. They have the potential to inflict significant damage to the organisation by modifying functions, resulting in a far greater loss of the company. This could possibly result in dire repercussions.
     
  3. Grey hat Hackers -
    They have unauthorised access to data on occasion, which is illegal. However, they never have the same intentions as black hat hackers and they frequently work for the greater benefit. The primary distinction is that black hat hackers exploit vulnerabilities in public, whereas white hat hackers do so secretly for the benefit of the company.

 

Python Programming for Hacking

Passwords are not saved in plain text in the website's database, as everyone knows. Now we'll look at how to crack a plain text password when you come across one in hashed(md5) format. So we take the input hash (the database's hashed password) and compare it to the md5 hash of every plain text password in a password file(pass doc) and if the hashes match, we simply show the plain text password in the password file(pass doc). 

Python Programming for Hacking

It will say password not found if the password is not discovered in the input password file; this will only happen if buffer overflow does not occur. This kind of attack is known as a dictionary attack.

 

Python's appeal stems primarily from its extremely powerful yet simple-to-use libraries. Sure, Python has great readability and is quite straightforward, but nothing surpasses the fact that these libraries make your job as a developer so much easier. These libraries are used in a variety of fields; for example, Pytorch and Tensorflow are used in artificial intelligence, while Pandas, Numpy and Matplotlib are used in data science.

 

Python, on the other hand, is ideal for ethical hacking for the following reasons:

  • Pulsar, NAPALM, NetworkX and other useful Python modules make designing network tools a breeze.
  • Ethical hackers often build short scripts and python being a scripting language delivers great performance for little applications
  • Python has a large community, therefore any programming questions are immediately answered by the community.
  • Learning Python also opens the door to a variety of different job options.
     

8 Reasons why you should learn Ethical Hacking using Python:

We've compiled a list of eight free resources to help you learn ethical hacking with Python in this article.

8 Reasons why you should learn Ethical Hacking using Python

 

  1. Using Python to Create Ethical Hacking Tools -
    Cybrary has a tutorial called "Developing Ethical Hacking Tools using Python." This course, offered free of charge by Cybrary, will teach you how to create your own Python tools to aid in cybersecurity evaluations.
     
  2. Python Hacking Tutorial in Detail -
    The Complete Python Hacking Tutorial is a three-and-a-half-hour video tutorial that covers topics such as VirtualBox installation, Kali Linux installation, guest extensions installation, Python in Kali terminal, brute-forcing Gmail, locating hidden directories, thread control and more. You'll also learn the stages and techniques hackers use to obtain saved wifi passwords, which will help you comprehend the process and methods better.
     
  3. Hacking with Python: The ultimate beginner’s guide -
    This is an e-book that will teach you how to use Python to construct your own hacking tools and make the most of what you have. The book will also walk you through the fundamentals of programming and how to navigate Python programmes.
     
  4. Python for Ethical Hacking: Beginner to Advanced Level -
    This is a three-hour free lesson that will teach you how to construct ethical hacking tools and scripts using Python. You will learn everything from the fundamentals of Python programming, such as if, else-if expressions, to more complex ideas, such as developing TCP clients, in this course.
     
  5. Beginning Ethical Hacking with Python -
    Sanjib Sinha has written an e-book called Beginning Ethical Hacking with Python. This book is for persons who are at the beginner level in programming and have no prior experience with any programming languages but want to learn ethical hacking. Ethical hacking and networking, Python 3 and ethical hacking installing VirtualBox, basic commands, Linux Terminal, regular expressions and other topics are covered in this book.
     
  6. How to Learn Ethical Hacking with Python and Kali Linux course -
    This is a 10-hour YouTube video course in which you will learn and comprehend all of the essential hacking principles, techniques and procedures. You will be introduced to numerous ethical hacking ideas as well as the fundamentals of risk management and disaster recovery.
     
  7. From the ground up, learn Python and ethical hacking -
    In this free course, you'll learn Python programming as well as ethical hacking. The course is organised into several sections, each of which will teach you how to develop a Python programme to exploit the system's flaws and hack it.
     
  8. Ethical Hacking with Python -
    This lesson will teach you the fundamentals of hacking and Python. You'll learn why Python is used for hacking, how passwords may be cracked and so on. You'll learn about several types of hackers as well as a rudimentary password hacking implementation in Python.

 

Skills you need to be an Ethical Hacker

Is it more important to crack passwords or steal data? No, ethical hacking entails a lot more. Ethical hacking is the process of scanning a computer or network for vulnerabilities and potential dangers. 

Skills you need to be an Ethical Hacker

An ethical hacker identifies and reports weaknesses or vulnerabilities in a computer, web application, or network to the enterprise. So, let's take a look at the abilities needed to be an ethical hacker. 

  1. Linux Skills -
    The key reason to study Linux as an ethical hacker is that it is more secure than any other operating system in terms of security. This is not to say that Linux is completely secure; it does have viruses, but it is less vulnerable than any other operating system. As a result, no anti-virus software is required.
     
  2. Programming Skills -
    Programming skills are another crucial ability for becoming an ethical hacker. So, in the computer world, what exactly does the term "programming" mean? "The act of developing code that a computer device understands to perform various instructions," it says. The language you will learn - Python, SQL, Java, PHP, C++, JavaScript and so on.
     
  3. Cryptography Skills -
    Cryptography is the process of turning plain text into ciphertext, a non-readable form that is incomprehensible to hackers, while it is being transmitted. An ethical hacker must ensure that information between different members of the organisation is kept private.
     
  4. Database Skills -
    The database management system (DBMS) is at the heart of all database creation and management. Because accessing a database containing all of the firm's data can put the organisation at risk, it's critical to ensure that the software is hack-proof.
     
  5. Basic knowledge of Hardware -
    Computer hardware includes the central processing unit (CPU), monitor, mouse, keyboard, computer data storage, graphics card, sound card, speakers, and motherboard, among other components. Software, on the other hand, is a set of instructions that may be stored and executed by hardware.

 

Conclusion

Ethical Hacking necessitates a continuous knowledge of new technology. The cybersecurity landscape shifts quickly and you must be well-versed in these shifts. Following forums and websites dedicated to these topics is a smart idea. Every day, hundreds of vulnerabilities are discovered and fixed; to take advantage of them, you must be in the right location at the right time. 

 

Often, the window of opportunity is very narrow. The term "zero-day exploit" is often used in the cybersecurity industry. A zero-day exploit refers to a flaw that has yet to be patched. Often, only a small number of people are aware of them and they want not to reveal them so that they can take full advantage of them.
 

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Who is the Product Owner? Key roles and responsibilities.

A Product Owner's core responsibility is to represent the customer to the development team. It is critical to manage and identify improvements in the product backlog or the prioritised list of requirements for future product development. In fact, the Product Owner is the only person who has the authority to change the order in which items in the product backlog are prioritised.
 

One uncommon part of Product Owner responsibilities is that you must always be available to the development team to answer any queries they may have about the customer's perspective on how they're implementing a product feature.
 

Who is a Product Owner?

The fact that the product owner’s role is new and thus have uncertainties. It began as part of the Scrum agile software development framework, which has only been around for a few decades. Businesses in areas other than software began to adopt Scrum and agile as the framework got more prominent, providing positions for product owners. 

The product owner is a tactical member of the development team in some businesses. In certain cases, the work is more strategic and geared toward representing customers' wants and interests. Other businesses appoint product owners to supervise development sprints.

 

Major Responsibilities of a Product Owner

Major Responsibilities of a Product Owner

 

Let's take a closer look at the essential tasks and responsibilities of a product owner:

  1. Converting product managers' strategies into development responsibilities -
    When it is said that product owners manage the backlog, it does not mean that they just shuffled existing user stories and other task-level data. Product owners need to be more proactive. They are often in charge of drafting (or at least revising) these stories into tasks that the development team can complete.
     
  2. Keeping a line of communication open with development to answer the questions -
    The development team may be unsure about a certain job allocated to them while working on stories and other activities during a sprint. They might not comprehend why a user storey instructs them to design the product's functionality in a certain way, for example. 

    They may also believe they have a faster, more efficient way to build the feature, but are concerned whether doing so will adversely impact product management's strategic objective. In these cases, the development team should seek answers and assistance from the product owner. The team will need these answers fast because the company's development sprints are time-limited—usually two weeks or a month at the most. As a result, the product owner should be available to the development team and ready to answer their inquiries as soon as possible.
     
  3. Assisting in the coordination of product and development -
    The big-picture goals and strategies for a product's success are set by product managers. The actual (or digital) product is built by the engineering or development teams. However, there is a lot of leeway for interpretation—and misinterpretation—between these two extremities of the product development continuum.

    Product owners serve as a link between the development and product teams. They explain the product manager's vision and what each product's area is supposed to do for its users in English. This allows them to explain the how and why behind all of the user stories and other tasks they're prioritising to the development team.

 

  1. Understanding the market and the needs of your consumers -
    Product owners must understand their market and customer needs in order to be beneficial in converting their company's strategic plan into the appropriate execution processes.

    Working with product managers to identify what challenges they're trying to tackle with the product, what customer wants or desires have influenced their product strategy, and what the team considers product success are common examples of this. Gaining this high-level understanding of the market, customer personas and product strategy aids product owners in performing various tactical functions on a daily basis, including:
  • Breaking down the epics of product management into user stories.
  • Sprint planning and prioritisation.
  • Keeping track of progress at every level of growth.
  • Answering queries from developers regarding the reasoning behind user stories or tasks.
     
  1. Organizing and prioritising the backlog of products -
    Because it collects and prioritises the development team's user stories to work on in forthcoming sprints, the product backlog is a crucial document for agile businesses.

    Whether or not a business uses the agile sprint paradigm, product owners will spend a significant amount of time and effort assessing the development backlog and prioritising what the developers should work on next. This ensures that the team follows the product management team's strategic goals and priorities when executing.
     
  2. Creating a vision -
    The agile product owner is a member of the product development team who defines goals and creates a vision for development projects utilising their high-level viewpoint.

    Customers, business managers and the development team are all stakeholders with whom product owners must communicate to ensure that goals are clear and the vision is aligned with business objectives.
     
  3. Involving in Daily Scrum, Sprint Planning Meetings, and Sprint Reviews and Retrospectives -
    Scrum ceremonies allow the Product Owner to review and adapt his or her work. As a result, attendance at these ceremonies is synonymous with success. It is critical for the product owner to attend Scrum meetings as it not only keeps the development team informed about the goals but also helps the product owner understand the team's perspective if any obstacles arise.
     
  4. If it is judged that a significant change in a direction is required, a Sprint should be terminated -
    The product owner might cancel the sprint if the Sprint goal has no meaning (will not create business value) due to the excessive change. The termination is usually the result of a dramatic shift in corporate objectives; something previously deemed critical is no longer required, or something even more important is discovered.

 

What do they do?

On the one hand, the Product Owner collaborates with stakeholders to obtain the appropriate requirements or to create new requirements that they may not be aware of or understand at the time. This not only strengthens our relationship with our customers but also contributes to the development of trust. The Product Owner, on the other hand, assists the delivery team/development team in comprehending the vision and needs. As a result, its job functions similarly to that of a bridge between the two ends, thereby paving the way for good communication.

 

How to become a product owner?

A solid understanding of the product, as well as analytical and strategic skills, are required to become a product owner. The market and stakeholders must be understood by someone who wants to delve deep and become a good product owner. He or she should be able to build a vision and know when to juggle product backlog items so that the bucket is always prioritised.

 

Challenges that a Product Owner comes across

The following are the primary issues that a Product Owner is most likely to face:

  1.  A road map for the product is missing.
  2. Acceptance criteria at a high level
  3. Investing too much time in product support rather than taming the backlog.
  4. Changing priorities in the middle of a sprint

 

Working around the product road map, focusing on high-value backlog items, creating precise acceptance criteria, focussing on grooming quality backlog items, and avoiding disruptive sprints are all ways for Product Owners to avoid these common traps.

 

What will be the learning path for the role of the Product Owner?

Are you a business analyst who is having trouble figuring out what your new responsibilities as a Product Owner entail? Are you interested in working as a Product Owner? Or do you want to get a better knowledge of the Scrum Framework and the Product Owner role? Then join iCert Global on our path to become a great Product Owner.

 

What are the benefits of obtaining a CSPO certification with iCert Global?

A well-trained Product Owner makes important product decisions in every high-functioning Agile team. A Certified Scrum Product Owner (CSPO) is one such credential that prepares holders to be successful product owners by teaching them about on-time delivery of high-value releases and maximising ROI. 

What are the benefits of obtaining a CSPO certification with iCert Global?

As a result, the globally recognised CSPO certification is a career-defining credential for anyone interested in taking on the tough role of Product Owner on a Scrum team.

 

Future of a product owner

For Scrum teams, a Product Owner is essential. This function is comparable to that of a deeply rooted tree with a solid foundation on the product side and vision, approach, and planned execution on the outer side. The product owners are responsible for the product's quality and delivery in accordance with the stakeholder's expectations.

A Product Owner must have a holistic view of the product, including business understanding, go-to-market preparedness, organisational readiness, and product capabilities. To ensure product success, all of these should be managed, coordinated, and aligned.

 

CSPO® Certified Professionals is in demand

Product Owners have a plethora of opportunities in today's industry. With Scrum being used by 90% of modern teams, the demand for Certified Scrum Product Owners has skyrocketed. Their presence on an Agile team ensures a quick return on investment while optimising business value. The following are some of the reasons why Product Owners are so important:

  • 38 percent of Product Owners are accountable for maintaining interactions with Stakeholders as an intermediary.
  • Product Owners account for 24% of all project business considerations and work directly with customers.
  • 15% of Product Owners interact directly with the Scrum team.

 

Who is a Certified Scrum Product owner?

A Certified Scrum Product Owner (CSPO) is someone who has been trained in Scrum terminology, methods, and concepts by a Certified Scrum Trainer and is capable of fulfilling the job of Scrum Product Owner.
 

Conclusion

A product owner must pay close attention to both customers and software developers. This reality is most evident in their work defining features and prioritising development, but it is also evident in their responsibility for a product's vision.

A product owner and a project manager, for example, are equally responsible for project outcomes. While the product owner is concerned with how to create a product that meets the needs of stakeholders and end users, the project manager is concerned with meeting delivery deadlines and making efficient use of resources.
 

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Why Big Data Matters: Key Insights, Benefits, and Impact

In today's era, numerous social apps are being developed, resulting in massive data increases every day. When we talk about social media platforms, millions of users connect on a daily basis, and information is shared whenever users use a social media platform or any other website, so the question arises as to how this massive amount of data is handled and processed and stored. This is where Big Data enters the picture.

 

What is Big Data?

Big data is a term that defines the massive amount of structured and unstructured data that a company encounters on a daily basis. But it's not the quantity of data that matters. What matters is what organisations do with the data. Big data can be studied for insights that lead to better business decisions and strategic movements.

Still haven't figured out what Big Data is? The "V's" of Big Data were developed by the IT industry in an attempt to quantify what is and isn't Big Data. 

3 Big Data

The fundamental three are as follows:

  1. Variety - The various sorts of data, both structured and unstructured.
  2. Velocity - The rate at which data and information are processed (analysis of streaming data to produce near or real time results).
  3. Volume - The amount of information available is enormous. According to reports, 2.3 trillion gigabytes of new data are created every day.

The concept of big data has been around for years, and most firms now recognise that if they capture all of the data that flows into their operations, they can use analytics to extract tremendous value.

 

The importance of Big Data

In the world of information technology, Big Data analytics is a true revolution. Every year, the usage of data analytics by businesses grows. Big data is characterised by a great deal of variety, volume, and velocity. Machine learning, data mining, natural language processing, and statistics are some of the analytical approaches used in Big Data. Multiple procedures can be done on a single platform with the help of big data. With the help of a few big data technologies, you can store terabytes of data, pre-process it, analyse it, and visualise it. To provide analysis for businesses, data is extracted, prepared, and mixed. 

The importance of Big Data

Large corporations and international corporations employ these strategies in a variety of ways these days.

The three key reasons why Big data is so crucial and efficient are as follows:

  1. Cost-cutting - When it comes to storing vast amounts of data, big data technologies like Hadoop and cloud-based analytics provide significant cost savings.
     
  2. New items and services are available - With the capacity to use analytics to measure client requirements and satisfaction comes the potential to provide customers exactly what they want.
     
  3. Decision-making is both faster and better - Businesses can evaluate information quickly and make decisions based on what they've learned thanks to Hadoop's speed and in-memory analytics, as well as the capacity to study new sources of data.

Big data analytics enables businesses to work more efficiently with their data and to use that data to uncover new opportunities. To predict from data, a variety of techniques and algorithms can be used. Multiple business strategies can be implemented for the company's future growth, resulting in smarter business decisions, more efficient operations, and more profitability.

 

Benefits of Big Data Analytics in Real Time

Big Data may be applied to a variety of fields. There has been tremendous growth in numerous industries as a result of the utilisation of big data. 

Benefits of Big Data Analytics in Real Time

These are listed below:

  • Technology
  • Manufacturing
  • Consumer
  • Banking

Big data technologies have been associated with their systems, particularly in the banking sector. Transactional data may be used for a variety of processes, and tools like Apache Hive make it easy for users to query their data and get results in a short amount of time. A user can improve query performance by optimising the query engine. The educational industry is also benefiting from the greater applicability of big data. Data analytics has opened up new possibilities for research and analysis. The insights supplied by big data tools aid in a better understanding of customer needs.

 

Job Opportunities 

With so much interest in and investment in Big Data technology, experts with big data abilities are in high demand. These days, fields like data analytics and data engineering are the most valuable. IT executives, business analysts, and software developers are learning big data tools and techniques in order to keep up with the market for jobs and opportunities. Because some big data tools are based on Python and Java, it is easier for programmers who are already familiar with these languages. Additionally, users who know how to pre-process data and have data cleaning skills can quickly learn about Big Data analysis tools and analytics. A user may simply evaluate data and present a new marketing strategy using visualisation tools such as Power Bi, Qlikview, Tableau, and others.

The nature of the job and the sector's requirements change in different domains of industry. Because analytics is becoming more prevalent in all fields, the manpower requirements are also tremendous. Big Data Analyst, Big Data Engineer, Business Intelligence Consultants, Solution Architect, and other job titles are possible.

 

Selecting a tool for Big Data

Big data integration solutions have the potential to significantly simplify this process. The following are characteristics to look for in a big data tool:

  1. Integrated data quality and data governance: Large data is typically sourced from the outside world, and appropriate data must be curated and managed before being provided to business users, or it could become a major problem for the firm. When selecting a big data tool or platform, ensure it has data quality and governance features.
     
  2. Many connectors: The world is full of systems and applications. Your team will save time if your big data integration solution contains a lot of pre-built connectors.
     
  3. Cloud compatibility: Your big data integration tool should be able to run natively in a single cloud, multi-cloud, or hybrid cloud environment, be able to run in containers, and use serverless computing to reduce the cost of your big data processing and pay only for what you use, not for idle servers.
     
  4. Open-Source: Open-source designs allow more flexibility while avoiding vendor lock-in; also, the big data ecosystem is made up of open-source technologies you'd like to use and integrate.
     
  5. Pricing transparency: Your big data integration tool supplier should not charge you extra if you add more connectors or data quantities.
     
  6. Portability: As businesses increasingly adopt hybrid cloud models, it's critical to be able to create big data integrations once and execute them anywhere; on-premises, hybrid, and on the cloud.
     
  7. Ease of use: Big data integration technologies should be simple to learn and use, with a graphical user interface to help you visualise your big data pipelines.

 

Common tools which you can use for uncommon data

Getting a grip on all of the aforementioned begins with the fundamentals. In the case of big data, they are mainly Hadoop, MapReduce, and Spark, three Apache Software Projects services.

  1. Spark is an ultra-fast, distributed framework for large-scale processing and machine learning that is also an Apache Foundation open source project. Spark's processing engine can run as a standalone installation, as a cloud service, or anywhere popular distributed computing systems like Kubernetes or Spark's forerunner, Apache Hadoop, are currently in use.
  2. Hadoop is an open-source software system for handling large amounts of data. Hadoop's features assist in distributing the processing burden required to process enormous data sets among a few—or hundreds of thousands—of computing nodes. Hadoop does the opposite of shifting a petabyte of data to a small processing facility, dramatically increasing the rate at which data sets may be handled.
  3. As the name implies, MapReduce aids in the compilation and organisation (mapping) of data sets, as well as the refinement of those data sets into smaller, more organised sets that can be utilised to react to tasks or queries.

These and other Apache technologies are among the most reliable ways to put big data to work in your company.

 

What does the future hold for big data?

The necessity to handle an ever-growing flood of data became a ground-floor consideration for developing digital architecture with the proliferation of cloud technology. In a world where transactions, inventories, and even IT infrastructure can be entirely virtual, a smart big data strategy builds a comprehensive picture by consuming data from a variety of sources, including:

  • Compliance Information
  • Virtual Network Logs
  • Geolocation Data
  • Security patterns and events
  • Preference Tracking and Customer Behaviour
  • Resolution and Anomaly Detection, and many more

Even the most cautious analysis of big data trends shows a continued reduction in on-site physical infrastructure and a growing reliance on virtual technology. As a result of this transition, a rising reliance on tools and partners capable of dealing with a world where machines are being replaced by bits and bytes that mimic them will emerge.

 

Conclusion

Because of the importance of big data, there is a lot of rivalry and a lot of demand for big data experts. Big data has a significant role to play in a variety of sectors and industries. As a result, it is critical for a professional to be knowledgeable about these strategies. At the same time, firms can benefit greatly from proper use of these analytics technologies. Big data may not only be an important element of the future, but it may also be the future. Evolutions in how we store, transport, and comprehend data will continue to alter how businesses, organisations, and the IT professionals that support them approach their goals.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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Best Practices to Integrate Security into Your DevOps!!

More and more businesses are realising that DevOps, as a software development methodology, can transform the way they innovate and deliver high-quality products. Shorter delivery cycles and speedier time-to-market are further advantages of teams working together and bridging the gap between development and operations. 

DevOps

However, with the growing data and cybersecurity concerns of the day, industry experts have recognized the need to embed security into the very fabric of DevOps. Traditional security techniques are becoming obsolete and, sometimes, even seen as hurdles to the speed and effectiveness expected from DevOps.

 

18 Top Practices which are recommended to Embed Security into your DevOps:

18 Top Practices which are recommended to Embed Security into your DevOps

Here are a few best practises that will assist you with this:
 

  1. Establish governance structures -
    The first step in implementing security into DevOps is to prepare your team. Begin by establishing simple cybersecurity regulations and clear governance procedures aimed at increasing the DevOps environment's overall security. Then, properly express them to your staff and gain their approval. As a result, developing high-quality codes that fulfil your standards becomes much easier for them.
     
  2. Make security procedures more automated -
    Automate procedures like patching and vulnerability management, code analysis, configuration management, privileged identity management, and so on with automated security technologies. This will assist you in keeping security on pace with the DevOps process's speed. Because DevOps is a highly automated process in and of itself, failing to embrace automation in security might cause the entire process to slow down.
     
  3. Make a list of everything -
    Because cloud subscriptions are so easy to set up, it might be difficult to apply security standards to all of them if there isn't a proper inventory of what resources are available and to which teams. It's also crucial to keep track of all your devices, tools, and accounts so that you can verify compliance with your cybersecurity policy and scan for threats and vulnerabilities on a regular basis.
     
  4. Segment your DevOps Network -
    Hackers' line-of-sight is mitigated by network segmentation, which stops them from getting access to the full programme. Even if a single segment is compromised, the hacker will be unable to access the rest of the application due to the protection measures in place. By default, application servers, resource servers, and other assets must be grouped into logical units that are not trusted by one another. Multi-factor authentication, adaptive access authorisation, and session monitoring should all be implemented to allow authorised users to acquire access.
     
  5. Continuous vulnerability management should be implemented -
    Vulnerabilities must be identified and corrected on a regular basis. Preemptively scanning and assessing codes in development and integration environments so that they can be fixed before being deployed to production is part of the process. This procedure should be used in conjunction with the continuous testing procedure, in which codes are examined for flaws and patches are applied.
     
  6. Using specialist tools, you can manage your credentials -
    Because access credentials can be readily fished out and misused by hackers, never incorporate them in code or keep them in files or devices. Instead, use a password management application or a password safe to keep them distinct. Developers and anyone who utilises such a tool will be able to request credential use from the tool whenever they need it, without having to know the credentials themselves.
     
  7. Control how privileged accounts are used -
    Review the permissions and access granted to "privileged" users and grant the fewest privileges possible based on the needs of each user. Internal and external attackers will be less likely to abuse privileged access as a result of this. Keep an eye on what's going on with those privileged accounts to make sure the sessions are legal and compliance with regulations. To assist you with all of the aforementioned tasks, consider using a privileged access management (PAM) solution.
     
  8. Standards for Secure Coding -
    Because security is not a top priority for developers, they focus solely on the application's capabilities and ignore the security parameters. However, with the rise of cyber-threats, you must ensure that your development staff is aware of the best security measures when coding for the app. They should be aware of security technologies that can assist them in identifying vulnerabilities in their code as it is being developed, allowing developers to quickly adjust the code and correct the flaws.
     
  9. Security training for the development team -
    You should also train the development team on security best practises as part of the security requirements. So, if a new developer joins the team and is unfamiliar with SQL injection, you must ensure that the developer understands what SQL injection is, what it accomplishes, and the potential damage it can cause to the programme. You might not want to get into the nitty-gritty of it. Nonetheless, you must guarantee that the development team is up to date on the latest security regulations, guidelines, and best practises. 
     
  10. Process of Change Management Implementation -
    A change management strategy should be implemented. You don't want developers to keep updating code or adding or removing functionality to the programme that is currently in the deployment stage as changes occur. As a result, at this point, the only thing that can help you is to apply the change management approach. As a result, every modification to the application that needs to be made should go through the change management procedure. After it has been accepted, the developer should be able to make changes.
     
  11. Configuration Management should be implemented -
    Configuration management should also be implemented. Configuration management includes the change management process, which I discussed earlier. As a result, you must ensure that you know what configuration you're working with, what modifications are being made to the application, and who is allowing and approving them. All of this will be managed through configuration management.
     
  12. Develop and Implement Security Procedures -
    Security cannot function without processes; you must first develop and implement certain security processes in your firm. After the implementation, there's a chance you'll need to alter the processes since certain things didn't work out as planned or the process was too cumbersome. There could be any number of reasons for this, so you'll need to change your security procedures. Whatever you do, be sure that security processes are monitored and audited after they've been implemented.
     
  13. The Least Privilege Model should be implemented -
    One of the most important thumb rules in DevOps security is to use the least privilege paradigm. Never give somebody more power than they need. If a developer doesn't need ROOT or Admin access, for example, you can give them standard user access so they can work on the application modules they need.
     
  14. Audit and review should be implemented -
    Continuous auditing and review should also be implemented. Regular audits of the application's code, the environment of the security procedures, and the data it collects should be performed.
     
  15. Use the DevSecOps model -
    Another popular word in the DevOps world is DevSecOps. It is a basic security procedure in divorce that every IT business has begun to implement. It is a combination of development, security, and operations, as the name implies. DevSecOps is a DevOps paradigm for incorporating security tools into the development process. As a result, security must be a part of the application development process from the start. Integrating the DevOps approach with security allows businesses to create secure applications that are free of risks. This methodology also aids in the dismantling of organisational silos between development operations and security teams. In the DevSecOps model, there are a few key practises that must be implemented:
  • In the development integration process, use security tools like Snyk and Checkmarx.
  • All automated testing must be reviewed by security professionals.
  • To establish threat models, development and security teams must work together.
  • In the product backlog, security concerns must be given top priority.
  • Before deployment, all infrastructure security policies must be examined.
     
  1. Make use of a password manager -
    Excel should not be used to store credentials. Use a centralised password manager instead. Individual passwords should not be shared among users under any circumstances. It's recommended to keep the credentials in a secure, centralised area where only the appropriate team has access to perform API requests and use the credentials.
     
  2. Examine the Code in a Smaller Font Size -
    You should look over the code in a smaller font. It is never a good idea to evaluate large amounts of code, and it is also not a good idea to review the entire application at once. Review the programmes in small chunks so that you can go over them thoroughly.
     
  3. Continue to evaluate applications in the field -
    When an application is live in production, many firms overlook security. You should keep an eye on the application at all times. To verify that no new security flaws have been introduced, you should keep analysing its code and performing frequent security tests.

 

Conclusion

These are some of the most important DevOps security best practises that a company should follow when developing secure applications and software. Implementing security standards as part of the DevOps process can save a company millions of dollars. So, for a secure and speedier release of the application, start adopting the security measures outlined in this article.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development.

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses

 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses

 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses

 

DevOps Training:

- DevOps Certification Training Courses

 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses

 

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Why CSM Certification exam Matters for Your Career Growth

Scrum Master Certification was the most common Certification in the past decade, and it gained traction across different industries. Scrum Masters must have a thorough understanding of Scrum techniques and principles in order to be effective. Before hiring a Scrum Master, employers look for confirmation of qualifications. Certifications are beneficial in a variety of ways. In such instances, a Certified Scrum Master or CSM Course might help you advance in your profession.

 

Certified Scrum Master

To be effective, every agile development team needs a Scrum Master. You will be appropriately prepared as a Certified Scrum Master to support your team and raise the possibilities of your team's success. A Scrum Master is a "servant leader" who is dedicated to helping the team achieve within the Scrum framework, rather than a project manager or project leader.

Certified Scrum Master

A Scrum Master is responsible for a variety of tasks, including assisting the team in collaborating and shielding the team from distractions that can derail production. Being a CSM also has a number of advantages, such as improving your career options and networking with other Scrum specialists.

 

10 Significant Reasons Why is CSM Course Important are:

There's a lot more to learn about the relevance of the CSM Course; check out the ten most important reasons here:

10 Significant Reasons Why is CSM Course Important are:

  1. There's a lot more to learn about the relevance of the CSM Course; check out the ten most important reasons here -
    The Certified Scrum Master is, without a question, the most sought-after certification in 2017. It also has a lot of financial advantages. Scrum Master has been ranked as one of the highest paying jobs in the United States by USA Today and Business Insider since its establishment in 2017.
     
  2. Scrum Experts' Portal -
    A Certified Scrum Master is eligible to join a worldwide network of Scrum experts who are committed to continuous improvement and embrace best practises. Scrum Community provides a wealth of knowledge as well as excellent guidance.
     
  3. Demonstrates your commitment to continuing to learn new things -
    Companies are always looking for people that are willing to learn new things rather than repeating what they already know.
    Scrum Master accreditation delegates responsibility for ongoing learning and the pursuit of Scrum and Agile-related certifications. Such character traits, such as those seen in a Scrum Master, are consistently appreciated by an organisation.
     
  4. Increased Return on Investment -
    Scrum, as previously said, reduces the risk of a project like this being harmed and increases the rate of profitability for the partners. The accuracy of project expectations is ensured via regular criticism meetings with all parties.
    It also encourages changes to projects, if any, at an earlier stage, which is less expensive and time-consuming.
     
  5. Reserve funds, both in terms of time and, of course, money -
    Scrum allows jobs to be completed in a systematic manner, which saves time and money. A legitimate update on the status of the project, as well as any roadblocks that the group may face, can be obtained by meeting for fifteen minutes every day. As a result of this gathering, projects are delivered faster and the nature of the project is not compromised.
     
  6. Maintaining Relevance in the Job Market -
    If you want to be marketable, you must stand out from your competition in the employment market. Scrum certification pushes you to do a variety of things. It demonstrates your adaptability and understanding of the resources available to you. Individuals with the necessary Scrum knowledge are preferred by the organisation.
     
  7. Assistance in Obtaining New Projects -
    The greater the number of Certified Scrum Masters, the more likely you are to win new projects that require affirmed professionals.
    Potential customers will be more willing to grant new endeavours to a company that employs a Certified Scrum Master, given that these professionals are known for delivering valuable and high-quality products to their clients.
     
  8. Delivering Value and High Quality of Product to Customers is what a Certified Scrum Master is called -
    71 percent of executives agree that providing value to customers is their top priority. Scrum is used by businesses to provide additional value to their customers.
    According to the poll, the State of Scrum 2017-18 revealed that Scrum continues to improve the quality of life for 85 percent of respondents.
     
  9. Consumer Satisfaction -
    Any organization's first priority is to satisfy its customers. "Client is King," as the axiom goes, and he should be kept optimistic.
     
  10. Transparency -
    Affirmed The Scrum Master has the authority to know everything there is to know about the project. Transparency allows colleagues to see the challenges that are affecting the projects. It encourages face-to-face contact, which reduces miscommunications and aids the team in delivering the item on time.
    It aids in identifying any project-related risks and ensures prompt response in the same way. Scrum Master and his colleague are in charge of risk here, and they survey on a regular basis. Scrum reduces the risk of a project being exploited in this way.
     

Scrum Master

Scrum Masters serve as servant leaders, directing a Scrum Development Team. When team members encounter roadblocks in their work, they look forward to seeing the Scrum Master. The Scrum Master is in charge of building a proper Agile environment in which each person may reach their full potential and shine as a professional. 

Scrum Master

They do not demand work from the Development Team, but instead inquire whether they require assistance with any work procedures or if any obstacles are preventing them from doing so. A Scrum Master is also someone who organises Scrum Events, which are an important aspect of product development and delivery.
 

What makes the Certified Scrum Master (CSM) course more expensive than others?

The CSM credential is regarded as one of the greatest Scrum Master qualifications in the world. The CSM course and certification instil in professionals the necessary abilities for success as scrum masters. 

CSM credential

A professional with the CSM will be able to fulfil the core roles of a successful scrum master, such as facilitation, collaboration, problem-solving, coaching, and problem-solving. Scrum Master Certification costs somewhere between $700 and $1500, depending on factors like location and trainer.

The cost of the CSM certification varies from country to country. If the expense of earning the CSM credential appears to be prohibitive, rest assured that it is a worthy investment! Scrum Master salaries are quite profitable, with the typical Certified Scrum Master earning up to $118353 each year.
 

What are the CSM Certification's Requirements?

Anyone interested in becoming a Certified Scrum Master and finding work from websites like Icert Global must meet three main prerequisites:

 CSM Certification's Requirements

  1. You must meet with a Certified Scrum Trainer or a Certified Agile Coach in live classes.
  2. At least fourteen hours of live online training and sixteen hours of face-to-face training with your Certified Scrum Trainer are required.
  3. You must accept the Licence Agreement and pass the CSM test, which consists of thirty five questions.
     

Jobs after getting a CSM Certificate

Scrum roles are ubiquitous and come with a variety of job titles, depending on where you are in your professional path. Scrum Master qualification offers the way to more senior positions like Sr. Scrum Associate, Scrum Master, Sr. Scrum Master, Agile Coach, Scrum Trainer, Agile Leader, and others. 

Jobs after getting a CSM Certificate

Regardless of which job you pick, the future for Scrum Masters is bright and full with possibilities.
 

Value of CSM Certificate

Getting CSM certification has genuine advantages, not just for your company but also for you personally. Improving team management, communication, and performance to guarantee project work moves along smoothly and efficiently are just a few of the advantages. It also guarantees that Scrum is used appropriately and consistently, and that everyone is on the same page when it comes to comprehending the framework. 

Value of CSM Certificate

CSM certification can also help you advance your career by opening doors to new opportunities. You will also obtain a two-year membership in the Scrum Alliance after completing all of the processes and becoming a CSM, allowing you to join local user groups and online social networks, as well as earn discounts on events and other benefits.
 

Capping off

CSM Certification is straightforward to obtain and, at the same time, it opens up doors to a rewarding professional path. Meeting the company's objectives is the most important and desirable expectation of any business. The same is implied by this certification.

With all of the benefits listed above, one can see why CSM Certification is so important. Furthermore, selecting the correct training institute with a reputation for providing top-notch training to professionals seeking expertise about Scrum and its fundamentals is critical. The Agile methodology continues to astound the globe, and the CSM certification can help you stand out. This credential demonstrates that you're a trailblazer with skills that go far beyond those of a typical project manager. As a result, keeping track of one's progress while studying for the certification is an experience in learning about one's work history. A Scrum Master Certification proves that you possess the qualities that employers want in Scrum Masters. Scrum Masters are in high demand since each group wants a dedicated professional who can manage and execute a variety of agile projects.
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development.

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses

 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses

 

Agile Training:

- PMI-ACP (Agile Certified Professional) Certification Training Courses

 

DevOps Training:

- DevOps Certification Training Courses

 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses

 

Connect with us:

Follow us on Linkedin

Like us on Facebook

Follow us on Instagram 

Follow us on Twitter  

Follow us on Pinterest

Subscribe to our YouTube Channel

 

Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

Please Contact Us for more information about our professional certification training courses to accelerate your career. Let us know your thoughts in the 'Comments' section below.


 


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Key Things to Know Before Starting a Data Scientist Career.

It can be intimidating to learn data science. This is especially true when you are just starting out on your journey. Which tool should you learn, R or Python? What techniques should you concentrate on? How many statistics do you need to learn? Is it necessary for you to learn to code? These are just a few of the many questions you'll have to answer along the way.

That is why you decided to write this guide to assist people who are just starting out in Analytics or Data Science. The goal was to create a short, simple guide that would set you on the path to learning data science. This guide will lay the groundwork for you to learn data science during this difficult and intimidating time.
 

What is a Data Scientist?

A data scientist uses data to understand and explain phenomena in their environment and to assist organisations in making better decisions.

Working as a data scientist can be intellectually stimulating, analytically satisfying, and put you at the forefront of technological advances. 

 

18 Tips you should know before starting your career as a Data Scientist:

Data scientists are becoming more common and in demand as big data becomes more important in how organisations make decisions. Here's a closer look at what they are and what they do—as well as how to become one.

18 Tips you should know before starting your career as a Data Scientist

  1. Proper Education is the key -
    Professionals with a high level of education are data scientists. Around 75% of them have a Ph.D. or a Master's degree. However, you are not required to have a bachelor's degree from a reputable university. 25% of data scientists have a degree from an 'unranked university.' Allow me to make it easier for you. The vast majority of data scientists hold degrees in computer science, statistics, mathematics, engineering, or social sciences. Only 13% of them have completed a university programme in data science and analysis. 
    What you all need is a quantitative background, and there are plenty of options in that department. As a result, there is no need to enrol in additional academic programmes to acquire the necessary skills. There are numerous online courses available to assist you in improving your skills. Online courses are taken by approximately 40% of data scientists.
     
  2. Choose a perfect role for yourself -
    In the data science industry, there are numerous roles to choose from. A data visualisation expert, a machine learning expert, a data scientist, a data engineer, and so on are just a few of the many roles available to you. Depending on your background and work experience, one role may be easier to obtain than another. For example, if you are a software developer, you could easily transition into data engineering. As a result, until and unless you are clear about what you want to become, you will be confused about the path to take and skills to develop. 

What should you do if you are unsure about the distinctions or what you should become? I'd like to suggest a few things:

  1. Speak with people in the industry to learn more about each of the roles.
  2. Take on mentorship from others – ask them for a short period of time and ask pertinent questions. No one, I'm sure, would refuse to assist someone in need!
  3. Determine what you want and what you are good at, and then choose a role that corresponds to your field of study.
     
  1. Choose a language or a tool and use that only -
    As I previously stated, it is critical that you gain hands-on experience with whatever topic you choose. A difficult question that arises when getting hands-on is which language/tool to use. This is most likely the most frequently asked question by newcomers. The most obvious answer is to begin your data science journey with any of the mainstream tools/languages available. After all, tools are only a means to an end; understanding the concept is more important. Still, the question is, which is a better option to begin with? There are numerous guides/discussions on the internet that address this specific question. The basic idea is to begin with the simplest language or one with which you are most familiar. If you are not well versed in coding, you should prefer GUI-based tools for the time being. Then, once you've mastered the concepts, you can get your hands dirty with the coding.
     
  2. Take a course and complete that -
    Now that you've decided on a role, the next logical step is to devote time and effort to learning about it. This entails more than simply reviewing the role's requirements. Because there is a high demand for data scientists, there are thousands of courses and studies available to help you learn whatever you want. Finding material to learn from isn't difficult, but learning can be if you don't put forth the effort. The issue is not whether the course is free or paid; rather, the main goal should be whether the course clears your basics and brings you to a suitable level from which you can progress further. 
    When you enrol in a course, make an effort to complete it. Follow the coursework, assignments, and all of the course-related discussions. If you want to be a machine learning engineer, for example, you can read Machine learning by Andrew Ng. You must now diligently follow all of the course material provided. This includes the course assignments, which are just as important as watching the videos. Only completing a course from beginning to end will provide you with a more complete picture of the field.
     
  3. Join a group to get information or updates -
    Now that you've determined which role you want to pursue and are preparing for it, the next step is to join a peer group. What is the significance of this? This is due to the fact that having a peer group keeps you motivated. Taking up a new field can be intimidating when done alone, but with friends by your side, the task seems a little less daunting. 
    The best way to be in a peer group is to have a group of people with whom you can physically interact. Otherwise, you can connect with a group of people on the internet who have similar goals, such as enrolling in a Massive online course and interacting with your classmates.
     
  4. Not just the theoretical part, focus on the practical part also -
    While taking courses and training, you should concentrate on the practical applications of what you're learning. This will not only help you understand the concept but will also give you a better understanding of how it would be applied in practise. Here are a few things you should do if you are taking a course:
  • To understand the applications, make sure you complete all of the exercises and assignments.
  • Work on a few open data sets and put your knowledge to use. Understand the assumptions, what the technique does, and how to interpret the results even if you don't understand the math behind it at first. You can always gain a more in-depth understanding later on.
  • Examine the solutions proposed by people who have worked in the field. They'd be able to find you faster with the right approach.
     
  1. Always follow correct resources -
    To never stop learning, you must immerse yourself in every source of information you can find. Blogs run by the most influential Data Scientists are the most useful source of this information. These Data Scientists are very active and frequently update their followers on their findings and post about recent advancements in this field. Every day, read about data science and make it a habit to stay up to date on the latest developments. However, there may be many resources and influential data scientists to follow, and you must be careful not to follow the wrong practises. As a result, it is critical to use the appropriate resources.
     
  2. Build a network but don’t waste much time on that -
    At first, your sole focus should be on learning. Doing too many things in the beginning will eventually lead to you giving up.
    Once you've gotten a feel for the field, you can progress to attending industry events and conferences, popular meetups in your area, and participating in hackathons in your area – even if you only know a little. You never know who, when, or where will come to your aid! Actually, a meetup is extremely beneficial when it comes to making your mark in the data science community. You get to meet people in your area who are actively working in the field, which provides you with networking opportunities as well as establishing a relationship with them, which will help you advance your career significantly. A potential networking contact could:
  • Provide you with insider information about what's going on in your field of interest, as well as mentorship support
  • Assist you in your job search by providing either tips on job hunting through leads or direct employment opportunities.
     
  1. Work on your communication skills -
    People rarely associate communication skills with rejection in data science positions. They believe that if they are technically superior, they will ace the interview. This is, in fact, a myth. Have you ever been turned down during an interview because the interviewer said thank you after hearing your introduction?
    Try this activity once; have a friend with good communication skills listen to your introduction and provide honest feedback. He'll undoubtedly show you the mirror! When working in the field, communication skills become even more important. You should be able to communicate effectively in order to share your ideas with a colleague or to make your point in a meeting.
     
  2. Basic Database and Knowledge is important -
    Data does not appear in the form of tables by magic. Beginners typically begin their machine learning journey with data in the form of a CSV or an excel file. But something is unmistakably missing! It's a SQL query. It is the most fundamental skill for a data scientist.
    Because organisations are still figuring out their data science requirements, knowing data storage techniques as well as the fundamentals of big data will make you far more appealing than someone with hi-fi words on their resume. These organisations are looking for SQL professionals who can assist them with their day-to-day tasks.
     
  3. Model Deployment is your secret ingredient -
    Many beginner-level data science roadmaps do not even include Model Deployment, which is a recipe for disaster. Once you have completed the data science project, it is time for the intended user/stakeholder to reap the benefits of your machine learning model's predictive power. In a nutshell, this is model deployment. This is one of the most important steps in business, but it is also one of the least taught. Let's look at an example. An insurance company has launched a data science project that uses accident vehicle images to assess the extent of the damage.
    The data science team works around the clock to create a model with a near-perfect F1 score. They have the model ready after months of hard work, and the stakeholders are pleased with its performance, but what happens next? Remember that the end-user in this case is the insurance agent, and that this model must be used by multiple people who are NOT data scientists at the same time. As a result, they will not be running Jupyter or Colab notebooks on GPUs. This is where a complete model deployment process is required.

    This task is typically performed by machine learning engineers, but it varies depending on the organisation in which you work. Even if it is not a job requirement at your company, it is critical to understand the fundamentals of model deployment and why it is necessary.
     
  4. Keep Practicing -
    As we all know, the only constant is change. Artificial intelligence and machine learning are evolving at a rapid pace and are not static. We cannot compare the current situation to that of a few years ago. To stay in the rat race, it is critical to keep learning with the advancement of technology. There are numerous ways to improve your skills, including online data science courses, conferences, and many others. To learn how to apply data science to problems, you should practise problem-solving and coding as much as possible.
     
  5. Maintain your resume -
    Let's solve a riddle here: What is the first thing the recruiter notices about you that could be your last? This is your resume! These are the ultimate challenges that you must overcome in order to obtain the most coveted job! Make sure to include these suggestions in your next resume –
  • Prioritize skills based on the job role available.
  • Mention data science projects to demonstrate your abilities.
  • Don't forget to include a link to your GitHub profile.
  • Certifications are less important than skills.
  • Update your skills and projects at the same time, not just once in a while.
  • The overall appearance of your resume is important; ensure that all of your fonts and formatting are consistent throughout.
     
  1. Proper Guidance is important -
    Coming to the final and perhaps most important point – finding the right guidance. Data Science and machine learning, as well as data engineering, are relatively new fields, as are their alumni. In this field, only a few people have decrypted their path. There are many ways to become a data scientist. The most straightforward is to pay lakhs of rupees for a recognised certification only to become frustrated with the recorded videos or even follow along with a YouTube playlist and still be an industry-ready professional.
     
  2. Understand Business Problems And Be Competitive -
    To become a good data scientist, you should always be curious and ask questions whenever there is a doubt, which not only improves communication among coworkers but also helps you become a good analyst. In order to solve business problems in an organisation, it is also critical to understand business metrics and other statistical issues.
     
  3. Add different skills -
    Problem-solving is a fundamental component of data science that aids in the division of large business problems into smaller, more manageable ones. Large organisations frequently seek data science specialists with in-depth knowledge in a specific area. However, if you have multiple skill sets rather than a specialised area that can be beneficial to your organisation, no one can stop you from moving forward in your career. Also, some organisations may require additional skills in addition to your knowledge of data science; in this case, having additional skills will help you advance in your career.
     
  4. Start with an entry-level position -
    Being a data scientist is a difficult job that requires extensive analytical skills as well as problem-solving experience. If you want to advance in your career as a data scientist, the best place to start is as an intern, as this will prepare you to face many unknown challenges. Another advantage is that as an intern, you will receive assistance wherever you are stuck, and your coworkers will provide you with numerous pieces of advice based on their own experiences, which will help you advance in your career.
     
  5. Prepare for your interviews -
    Once you've landed an interview, prepare responses to common interview questions.
    Because data scientist positions can be highly technical, you may be asked both technical and behavioural questions. Anticipate both and practise your response aloud. Having examples from your previous work or academic experiences on hand can help you appear confident and knowledgeable to interviewers.

Here are a few examples of questions you might encounter:

  • What are the advantages and disadvantages of a linear model?
  • What exactly is a random forest?
  • To find all duplicates in a data set, how would you use SQL?
  • Describe your machine learning experience.
  • Give an example of a time when you didn't know how to solve a problem. What exactly did you do?
     

What exactly does a data scientist do?

On a daily basis, a data scientist may perform the following tasks:

  • Discover patterns and trends in datasets to gain insights.
  • Develop algorithms and data models to predict outcomes.
  • Use machine learning techniques to improve data quality or product offerings.
  • Distribute recommendations to other teams and senior management.
  • In data analysis, use data tools such as Python, R, SAS, or SQL.
  • Keep up with the latest developments in the field of data science.

 

Best Data Science Jobs for you

Because Data Scientists' work touches so many different industries and disciplines, the roles Data Scientists can fill are known by a variety of names, including:

  • Data Scientist
  • Data Analyst
  • Researcher
  • Business Analyst
  • Data Engineer
  • Data Architect
  • Machine Learning Engineer
  • Quantitative Analyst
  • Data and Analytics Manager

There are numerous other variations, and these will continue to evolve as data science becomes more widely used. While the list of job titles in data science may appear to be endless, there are four major categories that describe the various roles that Data Scientists most commonly fill. The good news is that nearly all of these jobs are in high demand. If you have data science skills and experience, you are already in a good position for career development and advancement.
 

Salary of a Data Scientist and their job growth in industry

As of March 2021, the average salary for a data scientist in the United States is $113,396. According to the US Bureau of Labor Statistics, demand for data professionals is high, with data scientists and mathematical science occupations expected to grow by 31% and statisticians by 35% between 2019 and 2029. (BLS). This is significantly faster than the overall job growth rate of 3.7 percent.

The rise of big data and its increasing importance to businesses and other organisations has been linked to the high demand.
 

Final thoughts

Data scientists are in high demand, and employers are investing significant time and money in them. As a result, taking the right steps will result in exponential growth. This guide will give you some pointers to get you started and keep you from making costly mistakes.

If you've had a similar experience in the past and want to share it with the community, please leave a comment below!
 

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Boost your Scrum team: 8 effective process improvements.

It is true that when we work together, we may accomplish more than when we work alone. In a comprehensive study of workplace difficulties done by Salesforce, 86 percent of leaders felt that inability to work together as a team was the most common reason for project failure. A successful business relies heavily on teamwork. Businesses that have difficulty working as a cohesive one will swiftly lag behind. 

 

8 Ways to Improve the process of your Scrum Team:

Scrum is a "team-based strategy to provide value to the business," according to the definition. This paradigm encourages successful team collaboration so that enormous projects can be tackled and completed collaboratively. 

8 Ways to Improve the process of your Scrum Team

Whether or not your company adopts a Scrum strategy, using some of the essential components used by Scrum teams can surely help you enhance your performance.
 

  1. Principles of Self-Management should be taught -
    Scrum teams are built to be self-managing, allowing them to complete all of the tasks on the to-do list during a Sprint without the need for ongoing monitoring or direction from management. This amount of self-sufficiency varies depending on the team's familiarity with Scrum principles and the project's complexity. However, leadership and management are still required to establish initial directives and goals within the team's structure. A self-managing team is also not completely self-sufficient, as they still need supervisors to guide them and keep them organised. Managers in self-managing Scrum teams are only responsible for the early stages of a Sprint, such as determining the optimal team structure and assisting in the creation of development capacity. It is then up to the team members and the Scrum Master to make sure that everyone is on track to meet their Sprint targets and to intervene if anyone is slacking or falling behind. It may seem contradictory to lead your team by stepping back from management, yet many firms have discovered that teams with more autonomy are more productive. 

Principles of Self-Management should be taught

Encourage your teams to take ownership of problems and solve them collectively rather than bringing them to a supervisor. This would not only save managers time, but it will also motivate staff to improve their problem-solving and collaborative skills.
 

  1. Encourage the team to take decisions -
    Scrum teams are in charge of deciding the next Sprint's workload and assigning tasks within the group. They must also decide how to deal with any internal difficulties that may occur in a collaborative manner. Scrum teams, of course, will not always agree on everything, therefore they must be willing to negotiate and compromise for the team's overall interest. Because of the Scrum framework's self-managing nature, everyone is forced to make decisions jointly rather than relying on management to do so. Scrum teams and other companies equally benefit from this form of collaborative decision-making. According to studies, when organisations incorporate employees in decision-making processes, the results are significantly better. 

Encourage the team to take decisions

Employees feel more powerful and significant as a result of involving everyone on the team in decision-making, which enhances productivity and morale. Workers find it challenging to keep to a strategy they didn't devise themselves, especially if they disagree with or think the procedures inefficient. Find ways to involve everyone in the planning process, and urge teams to work together to come up with a solution that works for everyone.
 

  1. Focus on every individual in the team -
    Again, this piece of advice appears to contradict the entire concept of teamwork and togetherness; nonetheless, individualism is critical to team success. Individuals and interactions take precedence over processes and tools, according to one of Scrum's core beliefs. Scrum teams recognise that each team member is important in their own right, and that if one person is struggling, it affects the entire organisation. While the Sprint is unquestionably a team endeavour, many tasks are delegated to individuals. Teams and leaders must keep in mind that everyone works differently; some people like more independence, while others prefer more engagement with their bosses and coworkers. Teams can operate more effectively by focusing on the individual and developing methods that work for everyone involved. Play to each team member's strengths and hold them responsible for their actions, both positive and negative. 

Focus on every individual in the team

Only one-third of employees believe their bosses appreciate their achievements on a regular basis, despite studies showing that positive reinforcement boosts productivity and output. Recognize advancements or accomplishments as a leader or manager, and encourage members to keep up the good job.
 

  1. Improve internal communication abilities -
    Without communication, a Scrum team cannot function. It is a necessary component of team trust and collaboration. Team members must freely share and discuss victories, losses, and any internal difficulties that may be preventing the team from completing all tasks throughout a Sprint during the Daily Scrum Meeting. This kind of transparency necessitates that all members be able to effectively communicate their views and concerns. Inter-communication skills are required during Sprints so that everyone knows exactly what their responsibilities are. Tasks may fall between the cracks as a result of a communication failure, slowing development. 

Improve internal communication abilities

Many Scrum teams integrate project management software into their systems to keep everyone connected and coordinated. Some employees may have to unlearn or adjust methods that they have gotten accustomed to in order to develop inter-communication. Teaching greater communication skills, on the other hand, does not have to be a pain. Experiment with group exercises that promote teamwork and the development of soft skills. This might be a fun approach for teams to learn how to collaborate.
 

  1. Increase the amount of time you spend on Retrospective -
    You probably haven't heard of the Retrospective if you aren't completely conversant with Scrum's daily meeting processes. It's the time following each Sprint session when team members get together to discuss everything that transpired during that time period. Teammates can discuss any obstacles that hampered their development or offer suggestions on how to make the next session run more smoothly.  The retrospective isn't supposed to be a time for whining or making excuses for poor performance. Instead, it should be viewed as a brainstorming session in which everyone contributes suggestions for good acts that could improve future outcomes. 

Increase the amount of time you spend on Retrospective

Hold meetings where everyone can disclose any duties they're having trouble with or give up alternate techniques that could assist the team achieve to encourage this time of reflection inside your firm. This technique will greatly assist struggling teams in finding solutions to their issues.
 

  1. Capacity of Sprint -
    Every team is different. Some teams can take on a lot of work and still finish it in a reasonable amount of time. Other teams are unable to do so. As a Scrum Master, your first task is to assist your teams in realising their true capacity to complete tasks. Your team should leave each sprint planning meeting enthusiastic and excited to get the work done and attend the following sprint meeting. In some circumstances, the product owner requires that a specific set of tasks be accomplished during a sprint. 

Capacity of Sprint

Even though they know they won't be able to finish it, the crew takes it on. As a result, the team's efficiency suffers as they are unable to accomplish the assignment within the time span allotted.
 

  1. Incomplete Work -
    Ask your team if they have completed all of the targets they established in the previous sprint session when you conduct your sprint sessions. You can confidently offer the work to the product owner if the team reacts with a resounding "yes!" There may be times when the team is confused if the task is finished or not. In such cases, go over the entire project and see how many jobs remain unfinished. 

Incomplete Work

Once you've identified them, get to work on finishing them as soon as possible and directing your team on how to reduce the amount of incomplete tasks within a sprint and generate a finished product at the end of each sprint.

  1. Overload of work -
    Within a sprint, the primary premise of Scrum is to focus on a single task or collection of tasks that leads to a common goal. According to a recent poll conducted at a well-known corporation with locations all over the world, Scrum teams were accepting more work in a given sprint than they had anticipated. This additional work was sourced from the business side, the product owner, or perhaps one of the managers. 

Overload of work

This action may have a significant negative impact on the team's productivity. In a Scrum process, each task is given a priority, with the most critical work coming first, followed by tasks that can be completed on time.
 

Final thoughts

Creating a culture of collaboration within your company could be the key to long-term success, but it is far from simple. People from varied backgrounds and cultures make up businesses, and personalities don't necessarily blend well in a group situation. As a result, it is important to leaders to set a strong example of how teams should work by embracing collaborative methods. To stay on track with their goals, effective Scrum teams follow essential principles, therefore implementing those values to your own organisation, whether Scrum or not, can undoubtedly assist to improve collaborative methods inside your company. The primary goal of using Scrum is to increase efficiency and teamwork. It is your obligation as a Scrum master to uphold these standards and guarantee that the team follows them.
 

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Data Science vs Machine Learning and Artificial Intelligence

While Data Science, Artificial Intelligence (AI), and Machine Learning are all part of the same area and are related, they each have their own applications and meanings. There may be some overlap in these sectors from time to time, but each of these three terms has its own set of applications.

 

What is Data Science?

Data science is a vast branch of research that focuses on data systems and processes with the goal of sustaining and deriving meaning from data sets. To make sense of random data clusters, data scientists utilise a combination of tools, applications, principles, and algorithms. It is becoming increasingly challenging to monitor and preserve data since practically all types of companies generate exponential volumes of data around the world. To keep up with the ever-growing data collection, data science focuses on data modelling and data warehousing. Data science applications extract information that is used to influence business processes and achieve organisational goals.

 

What is Machine Learning?

Machine Learning is a kind of artificial intelligence that uses technology to enable systems to learn and improve on their own. The distinction between AI and Machine Learning is that this branch of AI tries to equip computers with independent learning mechanisms so that they don't need to be taught to do so. Machine learning entails monitoring and analysing data or experiences in order to spot patterns and build a reasoning framework around them. The following are some of the components of machine learning:

  1. Supervised Machine Learning - This model makes use of historical data to better understand behaviour and make predictions for the future. This type of learning algorithm examines any given training data set in order to draw conclusions that may be applied to output values. In mapping the input-output pair, supervised learning parameters are critical.
  2. Unsupervised Machine Learning - There are no classed or labelled parameters in this form of ML algorithm. It focuses on uncovering latent structures in unlabeled data to aid systems in correctly inferring a function. Both generative learning models and a retrieval-based technique can be used in unsupervised learning algorithms.
  3. Semi-Supervised Machine Learning - This approach incorporates aspects of both supervised and unsupervised learning, but it is not one of them. It improves learning accuracy by combining labelled and unlabeled data. When labelling data proves to be costly, semi-supervised learning can be a cost-effective approach.
  4. Reinforcement Machine Learning - No answer key is used to guide the execution of any function in this type of learning. Learning through experience is the outcome of a lack of training data. Long-term rewards emerge from the trial-and-error process.

 

What is Artificial Intelligence?

AI has come to be associated only with futuristic-looking robots and a machine-dominated society, a fairly overused tech term that is regularly employed in our popular culture. Artificial Intelligence, on the other hand, is far from that. Simply put, artificial intelligence tries to enable machines to reason in the same way that humans do. Because the major goal of AI processes is to teach machines through experience, it's critical to provide the relevant information and allow for self-correction. Deep learning and natural language processing are used by AI professionals to assist robots in identifying patterns and inferences.

 

Relationship between Artificial Intelligence, Data Science and Machine Learning

Artificial intelligence and data science cover a broad range of applications, systems, and other topics aimed at simulating human intelligence in machines. Artificial Intelligence (AI) is a perception-action feedback system. 

Perception > Planning > Action > Perception Feedback

Different sections of this pattern or loop are used in Data Science to solve distinct challenges. For example, in the first step, perception, data scientists attempt to find patterns using data. Similarly, there are two sides to the next step, which is planning:

  • Identifying all viable options
  • Finding the greatest solution out of a plethora of options

Perception > Planning > Action > Perception Feedback

Data science creates a mechanism that connects both of these areas and assists organisations in moving forward. Although machine learning can be explained as a single subject, it is best understood in the context of its environment, i.e. the system in which it is utilised. Simply described, machine learning is the interface between data science and artificial intelligence. That's because it's a long-term learning process based on data. As a result, AI is a tool that assists data scientists in obtaining answers and solutions to specific challenges. Machine learning, on the other hand, aids in accomplishing that goal. Google's Search Engine is a real-life illustration of this.

  • Data science is at the heart of Google's search engine.
  • It employs predictive analysis, an artificial intelligence technology, to provide consumers with intelligent outcomes.
  • For example, if someone types "best jackets in NY" into Google's search engine, the AI uses machine learning to collect this information.
  • Now, as soon as a user types "best place to buy" into the search tool, the AI takes over and, using predictive analysis, completes the sentence as "best place to buy jackets in NY," which is the most likely suffix to the user's inquiry.

To be more specific, Data Science encompasses artificial intelligence (AI), which includes machine learning. Machine learning, on the other hand, encompasses another sub-technology known as Deep Learning. Deep Learning is a type of machine learning that differs in that it uses Neural Networks to stimulate the brain's function to a degree and uses a 3D hierarchy in data to uncover patterns that are far more valuable.

 

Difference between Data Science, Machine Learning and Artificial Intelligence

Despite the fact that the terms Data Science, Machine Learning, and Artificial Intelligence are all related and interconnected, each is distinct in its own right and is used for diverse purposes. 

Difference between Data Science, Machine Learning and Artificial Intelligence

Machine Learning is part of Data Science, which is a broad phrase. The main distinction between the two terminologies is as follows.

Data Science VS Machine Learning and Artificial Intelligence

Data Science

Machine Learning

Artificial Intelligence

Involves various kinds of Data Operations

Subdivision of Artificial Intelligence

Involves Machine Learning

Data Science is the process of gathering, cleaning, and analysing data in order to extract meaning for analytical purposes.

Machine Learning employs effective algorithms that can exploit data without being specifically instructed to do so.

Artificial Intelligence (AI) uses iterative processing and sophisticated algorithms to help computers learn automatically by combining enormous volumes of data.

Popular tools used by Data Science are - SAS, Apache Spark, MATLAB, Tableau, etc.

Some famous tools which Machine Learning uses are - Amazon Lex, Microsoft Azure ML Studio, IBM Watson Studio, etc.

Some popular tools which AI uses are - Keras, Tensorflow, Scikit, etc.

Data Science is concerned with both structured and unstructured information.

Statistical models are used in Machine Learning.

Logic and decision trees are used in artificial intelligence.

Data Science applications include fraud detection and healthcare analysis.

Popular examples are Spotify and facial recognition software.

Popular AI applications include chatbots and voice assistants.

 

Jobs in Machine Learning, Artificial Intelligence and Data Science

Careers in data science, artificial intelligence, and machine learning are all profitable. The truth is that neither field is mutually exclusive. When it comes to the skill sets required for work in various domains, there is frequently overlap. Data Science jobs like Data Analyst, Data Science Engineer, and Data Scientist have been in demand for a long time. These positions not only pay well but also provide plenty of opportunities for advancement.

Some Data Science-Related Roles' Requirements 

  • Programming knowledge
  • Reporting and data visualisation
  • Math and statistical analysis
  • Risk assessment
  • Techniques for machine learning
  • Structure and data warehousing

A career in this domain isn't confined to programming or data mining, whether it's creating reports or breaking them down for other stakeholders. Because every function in this field serves as a link between the technological and operational departments, great interpersonal skills are required in addition to technical knowledge.

Similarly, employment in Artificial Intelligence and Machine Learning are taking a large portion of the talent pool. This domain includes positions like Machine Learning Engineer, Artificial Intelligence Architect, AI Research Specialist, and others.

 

Roles in Artificial Intelligence - Machine Learning necessitate technical skills:

  • Python, C++, and Java are examples of programming languages.
  • Modeling and evaluation of data
  • Statistics and probability
  • Computing on a large scale
  • Learning algorithms based on machine learning

As you can see, both areas have competency requirements that overlap. Most data science and AI-ML courses offer a foundation in both, in addition to a concentration on the respective specialisations.

Despite the fact that data science, machine learning, and artificial intelligence are all related, their exact features differ and they each have their own application areas. The data science sector has spawned a slew of new services and products, providing opportunities for data scientists.

 

The importance of understanding the difference

Data science is a field with a lot of opportunities. It's critical to understand the differences between these phrases, which are sometimes used interchangeably, in order to choose the correct speciality for you. We hope that you now have a better understanding of what Data Science, Machine Learning, and Artificial Intelligence are. However, you may still learn a lot more about Artificial Intelligence and Data Science.

 

What is Deep Learning?

Machine learning is a subcategory of it. Deep learning, like machine learning, includes supervised, unsupervised, and reinforcement learning. As previously said, the human brain was the inspiration for AI. Let's try to connect the dots here: deep learning was inspired by artificial neural networks, which were inspired by human biological neural networks. Deep learning is one of the methods for putting machine learning into action.

 

Applications of Deep Learning and Machine Learning

Machine Learning and Deep Learning are widely employed in a variety of fields, including:

  • Search engines, both text and picture searches, such as those used by Google, Amazon, Facebook, Linkedin, and others.
  • Netflix utilises a recommendation system to suggest movies to viewers based on their interests, sentiment analysis, and photo tagging, among other things.
  • Medical - cancer cell identification, restoration of brain MRI images, gene printing, and so on.
  • Document - Super-resolution of historical document images and text segmentation in document images.
  • Banks are in charge of stock forecasting and financial decisions.

 

Future Expectations of Deep Learning and Machine Learning

Both deep learning and machine learning have been on the rise for some time, and they are expected to continue for at least another decade. To increase income, industries are using deep learning and machine learning algorithms, and they are training their people to gain these skills and contribute to their company. Many startups are developing unique deep learning technologies that can address difficult challenges. Every day, groundbreaking research is being conducted not only in industry but also in academia, and the way deep learning is altering the world is simply mind-boggling. Deep learning architectures outperformed current methods by a significant margin and produced state-of-the-art results.

Deep learning and machine learning skills will almost certainly play a big part in the coming years in order to thrive in either industry or academia.

 

Difference between Deep Learning and Machine Learning 

Difference between Deep Learning and Machine Learning 

  1. Functioning -
    Deep learning is a subset of Machine Learning that takes data as an input and uses an artificial neural network stacked layer-wise to generate intuitive and intelligent conclusions. Machine learning, on the other hand, is a subset of deep learning that accepts data as an input, parses it, and attempts to make sense of it (decisions) based on what it has learnt during training.

     
  2. Characteristic Extractor -
    Deep learning is thought to be a good way for extracting useful features from unstructured data. It does not rely on hand-crafted features such as local binary patterns, gradient histograms, or the like, and it extracts features in a hierarchical manner. It learns features layer by layer, which means that it learns low-level features in the first levels and then progresses up the hierarchy to learn a more abstract representation of the input. Machine learning, on the other hand, is not an effective tool for extracting significant features from data. To perform properly, it relies on hand-crafted features as an input.

     
  3. Computation Power -
    Because deep learning networks are data-dependent, they require more than a CPU can provide. A graphical processing unit (GPU) with thousands of cores is required for deep learning network training, as opposed to a CPU with a few cores. Compute power is dependent not just on the amount of data, but also on how deep (big) your network is; as the amount of data or the number of layers grows, so does the amount of computation power required. A typical machine learning algorithm, on the other hand, may be implemented on a CPU with reasonable parameters.

     
  4. Training and Inference Time:
    A deep learning network's training time might range from a few hours to several months. Yes, you read that correctly. Months of training are not uncommon. Training a network with more significant data takes time if you have a large amount of data. Furthermore, as the number of layers in your network grows, so does the number of parameters known as weights, resulting in delayed training. Not only may very deep neural networks take a long time to train, but they can also take a long time to infer since the input test data will run through all of the layers in your network, resulting in a lot of multiplication, which will take a long time. Traditional machine learning algorithms can train quickly, anywhere from a few minutes to a few hours, but other methods can take a long time to test.

     
  5. Problem-solving Methods -
    To use machine learning to solve a problem, you must first break the problem into sections. Let's imagine you want to do object recognition. To do so, you must first scan the entire image to see if there is an object at each position and if so, where it is located." Then you use a machine learning technique, such as a support vector machine (SVM) with local binary patterns (LBP) as a feature extractor, to distinguish relevant objects from all the candidate objects. In deep learning, on the other hand, you provide the network the bounding box coordinates as well as all of the object's labels, and the network learns to localise and classify on its own."

     
  6. Ready for Industry -
    It's usually simple to figure out how machine learning algorithms function. Deep learning algorithms, on the other hand, are a dark box in terms of what parameters it chose and why it chose those values. Even if deep learning algorithms can outperform people in terms of performance, they are still unreliable when it comes to industry deployment. Machine learning techniques such as linear regression, decision trees, random forest, and others are frequently utilised in businesses, with one example being stock predictions in the banking sector.

     
  7. Output -
    A numerical number, such as a score or a classification, is usually the outcome of traditional machine learning. A deep learning method's output can be a score, an element, text, audio, and so on.

     

Data Science vs. Machine Learning Salary

A Machine Learning Engineer is a skilled programmer that assists computers in comprehending and acquiring knowledge as needed. A Machine Learning Engineer's primary responsibility would be to write programmes that allow a machine to perform specific tasks without the need for explicit programming. Datasets for analysis, personalising web experiences, and recognising business requirements are among their major responsibilities. Salary differences between a Machine Learning Engineer and a Data Scientist can be significant, depending on abilities, experience, and the firms that hire them.
 

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Top 10 Highest-Paying Cloud Certifications to Earn in 2024

The way we live and work is changing as a result of cloud computing. It's no longer enough to have a robust data centre where you can keep your files or an email account you can access from anywhere. The Cloud is now an essential component of our daily life, and it isn't going anywhere anytime soon!

 

Importance of Cloud Certifications for your career

Well, gaining certifications is critical if you want to advance in the cloud computing sector. A certification can help you get your foot in the door or land an interview with one of the many cloud service providers out there if you're just starting out. Certifications can help you recognise and expand on your talents as a professional, and they can lead to promotions and higher pay.

 

Cloud certifications that pay the most

There are a plethora of cloud certifications available. They're all fantastic in their own right, but some pay off more than others. 

Cloud certifications that pay the most

Here's a rundown of the highest-paying cloud certifications you should pursue right now:

  1. Google Cloud Professional Data Engineer -
    This credential is ideal for data engineers that use Google Cloud Platform to work with massive datasets (GCP). You'll need to pass two exams: GPDE (General Purpose) and GPEDX (Big Data Develop), which will assess your ability to design apps that run on GCP. 

Google Cloud Professional

You can expect outstanding pay in this sector, with average annual wages of $143,000! Because these exams aren't easy, it takes a lot of effort.
 

  1. Google Certified Professional Cloud Architect -
    The Google Certified Professional Cloud Architect credential will prepare you to build and deploy cloud architecture solutions on the Google Cloud Platform. With an average salary of $143,000 a year, it pays off in the long run. 

Google Certified Professional Cloud Architect

You'll have to pass a few exams that assess your ability to create apps for large-scale GCP deployments. It is not a simple certification to obtain, but it is well worth the effort if you are dedicated and prepared to put in the effort.
 

  1. Microsoft Certified Azure Administrator Associate -
    If you enjoy working with Microsoft, the Microsoft Certified Azure Administrator Associate certification may be right for you! You'll be able to administer an enterprise-level cloud computing environment utilising Microsoft's Azure platform if you earn this certificate. With a yearly salary of $125,000, it pays off in the long run. 

Microsoft Certified Azure Administrator Associate

You'll also need to take the AZ-203 and MCSD certificates, which are connected. These certification courses will aid in the development of applications for Windows Server private and public clouds. They contain hands-on labs and seminars that will teach you how to build real-world Azure applications.
 

  1. Microsoft Certified Azure Solutions Architect Expert -
    The Microsoft Certified Azure Solutions Architect Expert certification is a Microsoft Azure certification that teaches you how to design, create, and deploy cloud solutions on Microsoft's Azure platform. With an average salary of $152,000, it is a well-paid skill set. 

Microsoft Certified Azure Solutions Architect Expert

Obtaining this certification is an excellent approach to take advantage of the growing demand for Azure expertise. You must pass the AZ-303 and AZ-304 tests, which are difficult but ultimately rewarding.
 

  1. AWS Certified Solutions Architect (Professional) -
    The AWS Certified Solutions Architect Professional certification will teach you how to develop, deploy, and manage scalable cloud solutions in complex environments using Amazon Web Services (AWS). With an average salary of $163,000, it's another high-paying specialty. If you want to work in IT consulting or for a company that uses AWS as its primary platform, being certified can help you get there. 

AWS Certified Solutions Architect

Because the AWS Certified Solutions Architect Professional test is difficult, it will require some dedication and hard work, but after you pass it, you'll be on your way to your ideal job!
 

  1. AWS Certified Solutions Architect (Associate) -
    The AWS Certified Solutions Architect Associate credential is one of the most widely recognised in the cloud computing industry, demonstrating a thorough mastery of a wide range of AWS services. If you obtain this certification, you can expect to earn an annual salary of $130,000. 

AWS Certified Solutions Architect

It will require some effort and devotion, but the benefits of obtaining this certification are well worth the effort. You must pass a difficult exam that assesses your ability to develop architectures for enterprise-level workloads using Amazon Web Services.
 

  1. AWS Certified Solutions (Practitioner) -
    Those interested in learning the fundamentals of cloud computing should pursue the AWS Certified Cloud Practitioner certification. It verifies that you are familiar with the fundamentals of cloud computing and how to use AWS to meet common business demands. 

AWS Certified Solutions

While you will need to put in some work to achieve this certification, it will not take long to prepare! When you've completed all of the courses and passed the exam, you'll have the skills that most companies seek in employees with Amazon Web Services experience. Once you find work, you can expect to earn an average of $89,000 per year.
 

  1. Salesforce Certified Technical Architect -
    Salesforce is a global leader in providing enterprise Software-as-a-Service (SaaS) solutions. The Salesforce Certified Technical Architect certification is a high-level certification that allows professionals to build end-to-end Salesforce solutions. 

Salesforce Certified Technical

The average salary for Salesforce certified technical architects is USD 131,00.
 

  1. Certified Information Security Manager (CISM) -
    $149,000 is the average pay. While the exam and prerequisites are demanding, being a CISM may provide you with a wealth of highly-specialized knowledge in constructing security frameworks, managing risk, and developing programmes to manage and secure your company's most important assets. 

Certified Information Security Manager

This is the path for you if you want to work on enterprise-level strategy and touch both the commercial and technical sides of security.
 

  1. Certified in Risk and Information Systems Control -
    The average annual wage is $146,000. Do you want to understand how to recognise IT risk, implement proper security measures, and assess and apply risk response options? 

Certified in Risk and Information Systems Control

The CRISC path will prepare you for the ISACA CRISC test, which is second only to the CISM in terms of average compensation in information security.

 

Cloud certifications demand in the market

When determining the value of cloud certification, we must examine the whole value that these certifications provide to an individual after they have earned them. Even as you read this post, there is an increase in demand for cloud professionals. Employees with talent, experience, and competence in cloud capabilities are in high demand. Candidates with cloud certifications have a very good chance of securing a job at a company that uses cloud technology during the interview process. Cloud workers with the necessary skills and knowledge are in high demand. Since the pandemic ravaged the world in 2020, altering everything in massive ways, there have been numerous pointers to this issue. However, technical advancements continued, and cloud applications became more prevalent. Last year, there was a 10-20% growth in the number of employment available for cloud specialists. As conditions adapt to new norms, the same trend for cloud professionals is likely to occur in 2021. 
 

Which will be the best cloud certification for you?

The key to judging the usefulness of any certification is to consider your personal interests and career goals. Cloud computing is a trendy topic in IT, and if you get into it, you'll have a bright career. Investigate and determine which cloud technologies are being used by businesses, as well as the technical skills and talents that employers are seeking for in candidates. Know about certification updates on a regular basis and engage in community discussion forums or with peers who have completed certifications and earned credentials. In the order listed, AWS, Azure, and Google are the global cloud leaders. Other cloud providers, on the other hand, have solid services and solutions that can deliver the same value. Choose the finest cloud certification for you based on all factors, including income and job prospects. To get started, simply select an appropriate certificate from the list of 10 highest paid cloud certifications in 2021 above.
 

How do you pick the right Cloud Career path for you?

Here are some self-examination questions to consider:

  1. With which cloud service provider would you like to collaborate?
  2. What kind of remuneration do you anticipate?
  3. Do you have an IT background that is technical or non-technical?
  4. What do you want to do for a living?
  5. What are your long-term objectives in this field?
  6. Which credential best meets those requirements (or would help you advance)?

The more research and thought that goes into making a decision, the better. Now is the moment to embark on your career path; get started today!
 

Conclusion

Remember, you're not obligated to take the first cloud certification you come across. Certification within and across cloud platforms isn't just an option; it may become a need as your cloud computing career progresses. According to Global Knowledge, 64% of cloud professionals were cross-certified in 2020, with the number likely to rise. Your circumstances may also guide you in the direction of a specific certification path. Perhaps diving deeper into a specific field or branching out onto a different cloud platform would enhance your current job. Perhaps your company's strategy demands for a specific set of talents, which a certification can help you achieve. When deciding which road to take, it's always a good idea to seek advice from mentors, recruiters, and peers.

 

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Top 10 Python Features You Must Know for Coding Success.

Whether a developer's job is simple or difficult is entirely dependent on the programming language they use. Despite the fact that the market is swamped with a range of programming languages, Python remains at the top. Python has grown to become one of the greatest programming languages due to its ease of use and precision. The coding process became simpler, allowing people to understand and execute codes more quickly and with less effort. As a result, it was soon accepted by novices.

 

What is Python?

What is Python?

Python is an object-oriented programming language written in the C computer language. It is a high-level programming language by definition, allowing the implementation of both basic and sophisticated processes. Python also has a large number of modules and libraries that enable it to support a wide range of programming languages, including Java, C, C++, and JSON.

 

A guide to the 10 features of Python

Python has a lot of advantages as a programming language. The following are some of Python's most notable features:

  1. High Level Language -
    Python is a high-level programming language, which means you don't have to worry about the coding structure, architecture, or memory management when you're writing code in it.
     
  2. Extremely Dynamic -
    Python, as previously stated, is one of the most dynamic languages accessible today in the market. This essentially means that the type of a variable is determined at runtime rather than in preparation. We don't have to declare the type of the variable during coding because of this feature, which saves time and improves efficiency.
     
  3. Multipurpose -
    Python is a versatile programming language. For example, it can be used for back-end web development, mobile app development, desktop app development, and software development. It's also used to handle large amounts of data and execute mathematical calculations. We can also write system scripts in Python.
     
  4. Free and open source -
    Python is an open-source programming language, which implies that anybody can create and improve it. Python has an online forum where thousands of programmers meet every day to discuss how to improve the language. Python is also free to download and use on any operating system, including Windows, Mac OS X, and Linux.
     
  5. Portability -
    Python is a portable language, how? Allow me to explain. For example, if a programmer has created python code for Windows, no changes to the code are required to run the same code on a Mac. Because the same python code may be run on multiple machines, there is no need to build separate codes for each. Please keep in mind that system-dependent features must be avoided.
     
  6. Industry is expanding at a breakneck pace -
    If we check at any job sites, we can see that there are thousands of job openings for python. This is due to the adaptability of Python programming. We've seen a tremendous increase in the number of pythons in recent years, and this trend is projected to continue. As a result, learning Python is a smart step if you want to stay current.
     
  7. Coding is simple -
    Python is a very developer-friendly language, which means that anyone can pick it up in a matter of hours or days. Python is one of the easiest object-oriented programming languages to learn when compared to Java, C, C++, and C#.
     
  8. Nature has integrated everything -
    Python is, by definition, an integrated language. This means that the Python interpreter runs each line of code separately. We don't need to build Python code, unlike other object-oriented programming languages, making debugging considerably easier and efficient. Another benefit is that when Python code is executed, it is immediately translated into an intermediate form known as byte-code, which makes it easier to execute and saves runtime over time.
     
  9. GUI support is available -
    The Graphical User Interface, or GUI, is one of the most important components of any programming language since it allows you to add flair to your code and make the output more visually appealing. Python has a large range of graphical user interfaces that can be readily integrated into the interpreter, making it one of the most popular languages among programmers.
     
  10.  Object-Oriented Methodology -
    Python's object-oriented approach is one of its most important features. This essentially means that Python understands the concept of class and object encapsulation, allowing applications to be more efficient over time.
     

Some other features of Python

  1. Other Languages are supported -
    Python is one of the most versatile programming languages in the business since it is built in C and permits the execution of code written in other programming languages such as Java, C, and C#.
     
  2. Library with a Wide Range of Subjects -
    Python comes with a huge number of libraries that may be imported at any time and utilised in a specific programme right out of the box. The inclusion of libraries also ensures that you won't have to develop all of the code yourself, as you'll be able to import it from existing libraries.
     
  3. Machine Learning -
    In the sphere of technology, machine learning has a promising future. Users' expectations from the technologies they use have risen. They anticipate the device keeping track of their internet habits. Python, on the other hand, supplies the majority of the information available on the subject of machine learning. Python is the reason why Google is the leader in this industry. As a result, the developer community relies heavily on Python for machine learning.
     
  4. Community’s Support -
    Python is a widely used open source programming language around the world. Python was created in the 1980s, so it has had plenty of time to evolve and mature as a programming language. As a result, it can help developers of all levels, from beginners to experts. Tutorials, manuals, ebooks, and articles are all readily available as study tools. There is a solution for all python problems.
     
  5. Easy Automation -
    Manually performing routine tasks can be tedious and time-consuming. Python can develop system scripts, which means that simple python programmes can be written to automate tasks and enhance productivity. It also improves the efficiency of automated software testing.
     
  6. Data Science -
    Data science is critical for the future because today's technology can retain a record of everything. Python is the most popular language for data analysis because the sources and libraries are virtually limitless.

 

The frequently asked questions for Python:

  1. What kinds of careers can people pursue after studying Python?

Python is one of the most popular programming languages, with many firms and businesses using it. Machine learning, data analysis, web development, mobile application development, desktop application development, automation, and the Internet of Things are all possible careers after learning Python. Python is used in all of these domains, either directly or indirectly. Software Engineer, Python Developer, Research Analyst, Data Analyst, Data Scientist, or Software Developer are some of the job titles in these domains.

  1. Which industries make the most usage of Python?

Python is widely used in many industries since it is simple to learn and use. To deliver business insights, most insurance companies employ Python in conjunction with machine learning. Python is widely used in the retail and financial industries for data processing and manipulation. Python is also employed in the aerospace industry to achieve software system deadlines. Python and data mining are used in the finance industry to uncover cross-sell opportunities, and Python is used in the business services industry to acquire API access to financial data. Python is used in the hardware sector to automate network administration, and in the healthcare industry to anticipate sickness prognosis. Python is also utilised for web development and software updates for existing applications.
 

  1. What is the average salary for the professionals after learning python?

Compensation is decided by your level of expertise and industry experience. The more experience you have, the more money you'll make. Businesses are looking for excellent workers who are proficient in Python, as it is one of the most in-demand languages. It gives newcomers a competitive advantage, while it is the best way for experienced developers to expand and provide add-on services to clients, as well as attract high-profile organisations with fantastic pay. Python programmers with 1-3 years of expertise earn about 2-9 LPA on average. Python trainees' salaries rise as their experience grows, and professionals with 4-8 years of experience can earn up to 8-24 LPA. Python experts with more than eight years of expertise earn more than 16 LPA.
 

Conclusion - We've learned about a lot of capabilities that Python has to offer today in this blog. It's simple to understand, allows for automation, and may be used in a variety of ways. All of these characteristics have helped python become not only unique but also extremely popular. The bottom line is that python can help you get the most out of your resources by allowing you to develop faster and with more readability. Because python has been used by giants, its legitimacy cannot be questioned. Despite the strong competition, python is not only surviving but also winning the race. A python coder is in such high demand that he or she can never be unemployed, and they also have deep pockets. Python was present when the internet entered our lives. Python will still exist when the internet reaches new milestones. Python is the way to go if you want to stay relevant in today's challenging programming world.
 

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Twenty Essential Skills Every Project Manager Needs!!!!!

Project management abilities are necessary for the successful completion of a project from start to finish. These are highly sought after abilities in any business since they ensure that projects are completed on time and on budget. These talents have a direct impact on your and your team's ability to complete projects. These abilities ensure that everyone in the team or department works together to improve the workflow of the organisation and achieve a unified goal. We'll look at what project management talents are and 19 project management skills that every project manager should have in this article.
 

Skills of Project Manager

Project management skills are necessary for planning, managing, executing, and completing projects. Project management abilities include both hard and soft skills since they aid in delegating and prioritising work, managing resources, analysing problems, reporting progress, and analysing project performance. 

Skills of Project Manager

Project managers who master these abilities are more likely to finish projects on time and under budget.

  1. Risk Management skills -
    Risk management is a project management ability that allows a project manager to take calculated risks in the best interests of the organisation. Employers want applicants that are willing to take calculated risks and explain how their actions will affect the team and project. This necessitates self-assurance as well as the ability to recognise the project's risk.
     
  2. Communication skills -
    The ability to effectively convey ideas both verbally and in writing is a skill that helps project managers flourish at their jobs. They'll need these abilities to connect with clients and team members via a variety of methods. A project manager must communicate their ideas through reports, emails, presentations, and other kinds of written communication, in addition to being an effective public speaker during meetings and phone calls.
     
  3. Leadership skills -
    The most sought after project management talents are the ability to lead, inspire, and motivate a team. Project managers can use leadership abilities to increase team morale, incorporate goal-setting, coordinate work, and develop a road map for completing the project effectively.
     
  4. Time Management skills -
    Most projects are time-sensitive, and failure to meet deadlines frequently leads to financial overruns. Employers appreciate applicants with great time management skills to successfully manage a project. You can use this talent to manage your time, complete activities on schedule, and guarantee that the project meets all deadlines throughout its life cycle. It's not only about managing your time when it comes to time management. An effective project manager must plan and manage the time of others.
     
  5. Problem-solving skills -
    Your capacity to discover answers to difficulties that may affect project deliverables is referred to as problem-solving skills. It entails obtaining pertinent data, identifying viable solutions, considering the benefits and drawbacks of each option, and then selecting and implementing the best option. It enables the project manager to take a disciplined and solution-oriented approach to overcoming a problem.
     
  6. Research skills -
    Research abilities entail acquiring essential information for a topic, reviewing and analysing the data, and coming up with a solution. Excellent research abilities aid in the bridging of information gaps that could cause the project to be delayed or over budget. This ability aids project managers in completing their tasks quickly.
     
  7. Quality Management skills -
    Quality management is another project management skill to learn and master. It is the capacity to manage and oversee project operations in order to produce the final result according to the client's quality criteria. All goods must retain a desired level of excellence and quality, according to project management. A project manager with quality management abilities can meet and surpass the expectations of customers. It aids in the development of effective and high-quality corporate processes.
     
  8. Data Analysis skills -
    Data analysis is another important project management ability. The project manager must be able to analyse financial data such as budgets and expenses. Managers can use data analysis abilities to keep track of a project's progress, ensure that personnel are on track, and that a project is completed on time and on budget. They should examine data gathered throughout the project's life cycle to determine the break-even point and return on investment. They must be able to work with enormous quantities and analyse data in order to deliver useful information.
     
  9. Adaptability skills -
    Adaptability is defined as the ability to continuously learn and adapt to changing circumstances. A project manager must always be prepared to bridge knowledge gaps, learn about new technology in their profession, and keep up with current project and industry trends. Adaptable project managers know when it's time to standardise a workflow and when it's time to stray from it. This aids in guiding the group in the right direction.
     
  10. Motivation skills -
    A project manager must have outstanding motivational skills to keep team members engaged in the project and performing at their best throughout the project life cycle. A project manager who is constantly motivating succeeds in creating an environment in which all team members meet their project objectives while feeling content with their job. They motivate their team members to excel by using strategies such as team-building activities and a reward system. Project managers use their motivational skills to create a pleasant, harmonious, and collaborative work environment.
     
  11. Cost Management skills -
    One of a project manager's most important roles is cost management or control. Throughout the project life cycle, it entails developing feasible budgets, evaluating budgets, managing spending, and negotiating the project's cost. Employers need applicants that have prior expertise allocating resources, identifying high-cost allocation areas, and recommending improvements to keep a project on track.
     
  12. Negotiation skills -
    A crucial project management talent that employers seek for in a candidate is the ability to negotiate terms with suppliers, contractors, clients, and stakeholders. Negotiating while finding solutions that benefit all parties concerned is a talent that comes with practise and expertise. These abilities enable you to influence team members and guarantee that everyone is working toward a unified goal.
     
  13. Prioritization skills -
    A successful project requires the capacity to prioritise workflows and activities. During a project, certain tasks must be completed in a specific order, which means that unless one colleague completes the first work, another cannot begin the next. Certain tasks run simultaneously and are not dependent on the accomplishment of others. Project managers must be able to distinguish between dependent and independent jobs and prioritise them according to the project's impact. Project managers prioritise resource allocation based on the business requirement and time to completion, in addition to task prioritisation.
     
  14. Policy Knowledge -
    Knowledge of the organization's policies and best practises is required to ensure project completion on schedule. From the beginning to the end, a project is guided by its understanding of rules, processes, and principles. It guarantees that project managers operate and act in accordance with the organization's requirements. Any divergence from the policy has a negative impact on the organization's image and capacity to achieve its long-term objectives. As a result, project managers must have a thorough understanding of all policies and processes.
     
  15. Software proficiency -
    Project managers must be proficient in software and the latest tools in order to increase team efficiency and streamline procedures. Knowledge of Microsoft Office applications, such as Word, Excel, PowerPoint, and Outlook, aids in the creation of critical project documentation. Knowledge of project management software aids in the administration of tasks, resources, and deadlines, as well as collaboration with teams and the creation of a document repository.
     
  16. Conflict Management skills -
    When project managers work with employees who have different personality types, conflicts might arise. Working together and completing projects on schedule requires resolving disagreements with team members and clients. Project managers must handle conflict and assist parties in reaching a mutual agreement. Dealing with project differences, addressing internal and external disagreements, creating a peaceful work atmosphere, and resolving workflow challenges all require conflict management abilities.
     
  17. Active Listening skills -
    Active listening abilities are required to ensure a thorough comprehension of the project's scope, plan, and task. Employers appreciate candidates who can concentrate on the task at hand, actively listen to the speaker, clarify their doubts, paraphrase, and summarise what they have heard. This aids project managers in comprehending the client's needs.
     
  18. Monitoring and tracking skills -
    Project management isn't simply about finishing a project; it's about finishing a project successfully. If project managers don't have their fingers on the pulse, that won't happen. They must use their performance tracking and monitoring skills to ensure that initiatives are on track and supporting the larger corporate objectives. If not, why not? They'll make adjustments as needed.
     
  19. Forecasting and planning skills -
    It goes without saying that effective project management necessitates meticulous planning. This can be difficult, especially when many project managers must make educated predictions regarding deadlines and resource requirements. This is where forecasting may help. Project managers must make predictions and projections based on whatever information they have.
     
  20. Organization skills -
    In both their personal and professional lives, good project managers demonstrate organisational skills. They should have proper documented procedures and timelines for each assignment because they are responsible for several complex tasks. This will eliminate last-minute problems and complications. Organizational skills also clear the mind, allowing a project manager to focus on vital objectives.

 

Conclusion

Naturally, the industry is booming, and there are numerous industries to pick from. Project managers are in high demand in a variety of industries, including IT and telecom, healthcare, construction, and manufacturing. Project management is also a rewarding career path with numerous opportunities to learn and progress professionally.

So, if you enjoy project management and have the necessary skills, project management is an excellent career opportunity for you!

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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8 Best Data Science Certifications to Boost Your Career

As the demand for machine learning, artificial intelligence (AI), and data-backed choices grows, data science has become one of the fastest-growing sectors. Many people have chosen a data science career as a result of this, and the most efficient method to do so is to obtain a data science certification.

Fortune 500 companies are becoming more reliant on data, and they are keen to hire data specialists who can interpret the data they acquire. Data science certifications are a wonderful method to obtain an advantage because they allow you to confirm your talents, letting recruiters know exactly what they'll get if they hire you.

Every day, more people decide to enter the profession of data science because of its appeal and the promise of high earnings. Some people enter the sector with a technical background, while others do so out of curiosity; regardless of why you enter, your first priority will almost certainly be to build a strong, reliable portfolio that will help you land the position you want.

Although a degree or certificate isn't always required to enter the field of data science, having one can help you stand out from the crowd when applying for a job.

A good data science portfolio is made up of projects that demonstrate your skills, knowledge, and ability to build solid data science projects. That is the foundation of a good portfolio, but you can also include certificates to demonstrate that you have put in the time, effort, and money to hone your skills and become a more qualified data scientist.

Fortunately, not all certificates require you to visit a testing centre. In reality, you can get most of the desirable data science degrees from the comfort of your own home.

Top 8 Data Science Certifications 

Top 8 Data Science Certifications 

 

1) Azure Data Scientist Associate (Microsoft Certified)

Microsoft is a well-known technology and software company, and they provide a certificate that assesses your abilities to conduct experiments, train machine learning models, enhance their performance, and deploy them using the Azure Machine Learning workspace.

You must pass one exam to acquire this certificate, and you can study for it in one of two methods. Microsoft provides free online materials that you can use to study for the exam on your own time. If you'd rather have a tutor, they also provide a premium alternative where you can hire an Azure machine learning instructor.

This exam will set you back about $165. The cost varies depending on where you will proctor the test.
 

2) Professional Certificate in Data Science from IBM

This IBM certificate is awarded at the conclusion of a course series that takes you from a complete data science beginner to a professional data scientist online and at your own pace.

The IBM Data science professional certificate is available on Coursera and edX. To obtain the certificate and an IBM badge, you must complete a set of courses covering all of the core knowledge of data science on either platform.

You'll have to pay $39 every month to acquire the certificate from Coursera, so the sooner you finish the series, the less you'll have to pay. On the other hand, regardless of how long it takes you to complete the course, edX charges $793 for the overall experience.
 

3) Professional Data Engineer Certification from Google

The professional data engineer certification from Google is designed to assess the abilities required to work as a data engineer. A data engineer can make data-driven decisions, develop and test credible models, and optimise them.

You can apply for this certificate directly on the Google certificate page, or you can enrol in a course series and get the certificate through Coursera. The courses will teach you all you need to know about machine learning and artificial intelligence principles, as well as how to create effective data pipelines and analytics.

To access the Coursera course series, you must have Coursera Plus or pay a $49 monthly fee for as long as you need to finish the series and obtain your certificate.
 

4) Data Engineer, Cloudera Certified Professional (CCP)

Cloudera aims to attract open-source developers by offering the CCP Data Engineer certificate, which allows developers to demonstrate their ability to efficiently collect, process, and analyse data on the Cloudera CDH platform.

You will be given 5-10 data science questions to solve in order to pass this test, each with its own huge dataset and CDH cluster. Your job will be to come up with a high-precision solution for each of these issues and correctly implement it.

You must obtain a score of at least 70% on this exam in order to take it. The examination will last 4 hours and cost $400. This exam can be taken from any computer with an internet connection.
 

5) SAS AI & Machine Learning Certified Professional

Unlike the previous certificates, the SAS AI & Machine Learning Professional certificate is earned by passing three exams that assess three distinct skill sets. The three exams you must pass in order to obtain the certificate are as follows:

  • Your ability to build, train, test performance, and optimise supervised machine learning models will be tested in this machine learning exam.
  • Forecasting and optimization testing This test will assess your ability to handle, visualise, and build data pipelines, as well as solve optimization problems.
  • A test of NLP and computer vision.

SAS provides free 30-day preparation materials to help you prepare for and pass each of these three examinations.
 

6) TensorFlow Developer Credentials

TensorFlow is a popular package for machine learning, Artificial Intelligence, and deep learning applications. A TensorFlow Developer Certificate is awarded to a developer who can demonstrate their ability to use TensorFlow to create solutions for machine learning and deep learning problems.

Complete the DeepLearning.Artificial Intelligence TensorFlow Developer Professional Certificate Coursera course series to prepare for this certificate. Your name and picture will be added to the Google Developers web page once you have earned this certificate.
 

7) HarvardX: Data Science Professional Certificate.

HarvardX is Harvard's online counterpart, focusing on providing online courses at the same level as on campus. Their Data Science Professional Certificate is intended to provide students with a comprehensive understanding of data science and data analysis.

Throughout the certification course, you will learn:

  • Basic R programming abilities are required.
  • Probability, predictive modelling, and inference are all ideas used in statistical analysis.
  • Learn about Linux/Unix, RStudio, and GitHub, which are all vital tools for data scientists.
  • Learn how to utilise tidyverse, ggplot2 for data visualisation, and data wrangling (with dplyr).
  • Machine learning algorithms are being implemented.

Complete understanding of data science concepts through the use of real-world case studies.

The cost is $991, and the duration is 1 year and 5 months (Self-Paced)
 

8) DataCamp's Data Science

DataCamp has a solid reputation for offering some of the best certification courses and boot camps for a wide range of data-related industries and careers. Thousands of people have benefited from their online courses, which have helped them gain new skills, advance in their careers, and broaden their knowledge.

The Data Science for Everyone boot camp is a comprehensive data science programme that does not require any coding. To begin the course, you do not need any prior computer science background or technical skills.

The course is broken down into four distinct chapters.

  1. Introduction to Data Science
  2. Data Collection and Storage
  3. Preparation, Exploration, and Visualization
  4. Experimentation and Prediction

It takes about two hours to complete the entire course. You'll watch 15 videos and do 48 exercises to put what you've learned into practice.

Keep in mind that their pricing isn't the same as yours. The first chapter of the course is free, but you'll need to join up for one of their subscription plans to have access to the remainder.
 

Conclusion

It's not easy to become a data scientist; you'll need to be fluent in a variety of programming languages, including Python, SQL, Java, and others. You'll also need to be familiar with and understand software technologies like Hadoop and SAS.

If you ask any data scientist if they needed a degree or certification to get their job, the majority will tell you that they came into data science from a non-technical background with a desire to learn more.

Even though you can become a data scientist and get a good job by self-studying the core concepts of data science and creating real-life-sized projects or projects that can be easily applied to real-life data, having a certificate can sometimes help your portfolio stand out and attract recruiters' attention.

There are several data science certificates to choose from, but the best one for you will depend on your specific sector, educational background, specialisation, and experience level.

For data science certification, you must be prepared. It's not about viewing training videos, conducting lessons, or anything else like that. You must expand your data science knowledge, improve technical abilities such as programming, and put your knowledge into practice.

Once you've done that, you should consider getting a data science certification to prove your abilities. Which data science certification is best for you will depend on where you are in your data science career.

 

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Top 12 Key Principles of Project Management for Success

Project management can be intimidating, especially if you've never done it before and haven't had any training or advice. Apart from the actual project management labour, figuring out language, tools, and processes can be tedious. But how does one obtain the necessary information, skills, tools, and procedures to be an effective project manager? The uniqueness of a project refers to the fact that all aspects of the project are intended to contribute to a specific goal that isn't a regular component of the company's operations.

 

What should be the Project Structure?

Quality, Resources, and Time are the three most important factors in project management. In most cases, a project structure can be successfully established by considering the following factors:

  1. Milestones of Project - Milestones specify certain phases of your project, as well as the expenses and outcomes associated with them. Milestones are important junctures in a project's development. They are established after a specified number of related task packages have been identified. A sub-goal is achieved as a result of this set of task packages.
     
  2. Order and Time of a Project - A flowchart is a useful tool for visualising the start, end, and sequence of work packages in a single diagram.
     
  3. Goal of a Project - When it comes to creating a project goal, an answer to the question "What needs to be done" is usually a good place to start. The answer to this query is the project structure plan. Work packages, which are enclosed work units that can be assigned to a staff resource, make up this design. The project structure is represented by these work packages and their specific links.

 

Project Management Principles for newbies to follow

The project management principles we'll be discussing aren't set in stone. You may need to tweak some of our suggestions to fit your situation, but these project management fundamentals should get you started. 

Project Management Principles for newbies to follow

There's a lot to learn, far more than we can include into a single blog article, but if you follow these twelve guidelines, you'll be well on your way.

 

  1. Be open and honest -
    Transparency in project management refers to the creation of a system that allows all team members to simply and quickly access all important project information. Transparency in projects is quite simple to achieve, especially if you use the correct project management software. Allow everyone to see the overall picture, make project data available to your entire team, provide good communication tools, and share calendars with team members and even external stakeholders to create or improve project transparency. Transparency in the project results in better outcomes for both the team and the project.
     
  2. Make a risk analysis -
    A risk assessment acknowledges the possibility of things going wrong. It's better to identify and mitigate project management risks early on in the project rather than being caught off guard later. Inquire with your coworkers about the risks they believe you should be aware of. You won't be able to eliminate all risks from your project, but being prepared for them will help you avoid failure.
     
  3. Make a communication strategy -
    From the start of your project, explain and enforce clear communication guidelines. Make sure everyone on the team understands why communication is important in project management and how to use the technology you've chosen, whether it's email, text messaging, a chat service, or a combination of these. You should also establish clear expectations for the types of information that should be provided and who should be notified in particular situations. Be sure to model the type of communication you anticipate from all stakeholders as a project manager.
     
  4. Prioritize and set deadlines ahead of time -
    Priorities tell you what to concentrate on, while project milestones show you where you are in the process. When you're working on a project, it's easy to get sidetracked from the main stuff by minor details that seem critical at the time. If a disagreement arises, you'll already know where to direct your team's attention if you identify your task priorities from the start of your project. When you're immersed in the intricacies of a project, it's also easy to lose sight of the big picture. Identifying milestones early in the project planning process will help you determine if you're on track. It's also helpful for morale to recognise milestone accomplishments. If there is a visible sense of progress on the project, your team will be more motivated.
     
  5. Get to know your numbers, budgeting and scheduling should be done with care -
    Every project has a finite number of resources, and every project manager has a finite number of resources. It nearly goes without saying that you should carefully manage your financial resources, provide some room for unanticipated charges, and implement acceptable cost-cutting measures over the length of your project. Your project budget is intrinsically tied to your project timetable; if your timeline is messed up, your project budget will most likely be messed up as well. Setting up a system of accountability is an important part of assigning individual responsibility to team members. You'll need a system that allows you to manage task delegation and project deadlines, as well as allow each team member to see their contribution in the context of the overall project.
     
  6. Make a list of your deliverables -
    You can specify your project deliverables once the project's goals and objectives have been established. If the customer's goal is for end-users to manage their own content, the deliverables can include content management software as well as training materials for staff and end-users on how to use the newly developed software.
     
  7. Have a clear understanding of your team's roles and duties -
    A lack of clarity regarding roles and responsibilities is one of the most common sources of uncertainty and stress on a team. Boundaries are crossed and unneeded confrontations emerge when members of the project team are unsure of their duties or how those roles connect to those of others in the team. It is your obligation as a project manager to clearly define each team member's position in order for everyone to work successfully together.
     
  8. Strategy for Getting Things Started and Getting Things Done -
    It is critical to have a project launch and execution strategy. Preliminary work for a project can be divided into four phases: establishing a business case for the project, performing feasibility reports, assuring project stakeholder participation, and preparing a project launch agreement. A project kickoff meeting is the first step in project execution. This meeting is held to share the goal and plan, as well as to allocate jobs and other duties. During the execution phase, all errors, repairs, and modifications must be documented.
     
  9. Set Goals and Objectives -
    Setting objectives is critical to the success of any endeavour. Your project's goals and objectives should be well-defined so that there is no ambiguity and project planning may proceed as planned. Goals should be specific, attainable, and measurable. Great buildings can't be constructed on shaky foundations, as the saying goes. As a result, the core of any project is its aims and objectives. Goals can be of 3 types: Realistic, Clear and Measurable.
  • Realistic– Can we achieve this goal in the time and resources we have available?
  • Clear– Do we understand exactly what is being asked of us? Is everyone in agreement?
  • Measurable– Are there any concrete indications that we may use to evaluate each goal?

 

  1. Assist in the creation and maintenance of organisational alignment -
    What strategies can we use to achieve and sustain organisational alignment? There are two perspectives on this.
  1. The employee-focused view - Encourages managers to assess how effectively the employee fits into the organization's vision and mission, as well as the person's individual role, professional goals, team membership, and organisational vision and mission.
  2. The organizational-focused view - emphasises the importance of numerous key components of the organisation working together. The purpose, strategy, capabilities, structure, and systems of the organisation should all be in sync.

You may not have control over all of these aspects as a project manager, but to the degree that you can influence change, you should use these organisational alignment concepts for a more effective project.
 

  1. Maintain a formalized structure -
    If the project does not have a specified structure, it may proceed in any direction due to a lack of effective control. As a result, a project should have a defined team, a formal structure, and good planning. All of this helps to guarantee that the project is properly prioritised and managed.
     
  2. Measuring and monitoring of the progress -
    You'll establish critical project management KPIs in the form of, as part of your project planning. KPIs are Quality, Project Timeline and Budget. Throughout the life of your project, you should maintain track of project progress and monitor your KPIs on a frequent basis to catch difficulties and make timely improvements. When your KPIs show that the team has met a target, don't forget to rejoice!

 

Conclusion - The concepts described above aren't the only ones that can help your project succeed; there's a lot more to project management than that. These ideas, on the other hand, will provide you with a road map to success. If you prioritise your team members and make sure they understand the goals, you'll be well on your way to becoming a STAR project manager. When it comes to project management, there's a lot to learn, but these twelve project management principles are a terrific place to start. If you strive for clarity in all aspects of project management and put your team's wellness first.
 

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10 Essential Traits of Highly Effective Project Managers

Every project manager understands the importance of completing projects on time and on budget. Good project managers also go to great lengths to ensure that project criteria are met on a consistent basis. Great project managers, on the other hand, go above and above. Not only do they complete projects on time and on budget, but they are also accountable, strategic business partners who are invested in the organization's success.
 

What is a Project Manager?

A project manager is a person who is in charge of all parts of a project from beginning to end. Project managers are in charge of planning, executing, and overseeing projects, and they are frequently the first point of contact for any concerns that may develop. As a project manager, you will most likely be in charge of a team of people to whom you will delegate and allocate duties in order to execute a project.

 

Common responsibilities

A project manager's typical responsibilities include:

  1. Identifying and conveying project goals
  2. Obtaining any project requirements, such as materials, teams, and technology
  3. Creating timetables and schedules for the project's completion
  4. Managing the project's quality, timeliness, and cost
  5. Keeping track of every work completed as part of the project
  6. Stakeholder identification and management
  7. Bringing the project to a close and confirming that all goals have been satisfied

 

Highly effective 10 traits of Project Managers

In the year 2020, a lot has changed. As a result of COVID-19, project management has grown more difficult. The following attributes of highly effective project managers will show you the way if you want to stand out and take your project management career to the next level. 

Highly effective 10 traits of Project Managers

These qualities, when combined with the appropriate technical skills, will put you in higher demand as a project manager, giving a solid foundation that will allow you to react to the project's constantly changing dynamics while prioritising the demands of your stakeholders.

  1. A skilled communicator -
    Communication is the most important skill because it plays such an important role in managing projects, teams, and other stakeholders. Communication does not just include being an excellent facilitator, speaker, or writer; it also necessitates excellent listening abilities. It's beneficial to actively listen to what's being said — and not stated — and to consider context. Listening to others' perspectives and taking into consideration their experiences and knowledge can assist to avoid possible conflict and hazards caused by blind spots, as well as boost project success.
     
  2. Accountable and trustworthy -
    On a project, not everything will go as to plan. Mistakes are to be expected, but it's critical to always recognise when you're wrong and learn from them. It's critical to take responsibility for your decisions and actions, since it sends a powerful message to the rest of the team. "Integrity, decisiveness, sound judgement, the capacity to establish a vision and execute it, confidence in your own competence" are trademarks of extremely effective project managers, according to Paul Dillon, founder of Dillon Consulting Services.
     
  3. Working amid the gloom -
    All of the previously described qualities stand out, but the ability to work in the grey area is what truly distinguishes a project manager. Because the majority of projects, regardless of type, industry, size, or complexity, will include grey regions that you will need to negotiate at some point, this is a must-have ability. External limits and complications, remote project limitations, disagreement and uncertainty – all of these and other unknowns will very likely arise. When you combine those skills with the ability to work in the grey, you've got yourself a highly capable project manager.
     
  4. A catalyst for change - If the year 2020 has taught us anything, it is that change is unavoidable and can be extremely disruptive in many aspects of business and personal life, including project management. Highly effective project managers are aware of this, embrace it, and include elements of risk into their project planning. They also understand the importance of collaborating closely with change management professionals to assist stakeholders in adapting to change and better preparing for the future state of affairs — as well as functioning in the grey.
     
  5. Stakeholder-focused -
    COVID-19 has wreaked havoc on businesses and individuals around the world, making it impossible to prioritise stakeholder demands over personal and family concerns. Good project managers, on the other hand, can separate their own requirements from those of project stakeholders as professionals. Regardless of personal bias or needs, they give their best effort at all times. This is the amount of focus that organisations have grown to expect from project managers, and it is what distinguishes excellent candidates.
     
  6. Giving credit to others in a generous manner -
    Others' contributions have a significant impact on a project leader's ability to lead his or her team. Project managers that are very effective share credit for good work and encourage all team members to participate and contribute to their full potential. Rather than trying to be a jack of all trades, make use of the team's collective knowledge and talents. This simple but effective strategy can dramatically boost your chances of attaining your objectives.
     
  7. A capable motivator -
    The ability of a project manager to communicate with and influence a wide range of stakeholders is critical to project success. After all, you must discover ways to encourage employees over whom you have no direct control but who have the power to make or break a project. It's critical to instil confidence in the minds of stakeholders and sponsors, especially if and when it's required to approach them with adjustments to the project's scope. If you want to be respected by your teammates, stakeholders, and sponsors, you must treat them with respect at all times. Without respect and motivation, especially from sponsors and stakeholders, it's nearly impossible for projects to develop in the proper direction and on time.
     
  8. Fully committed to success -
    Highly effective project managers are passionate about their profession and are invested in seeing a project through from start to finish. This mentality aids in achieving the finest results possible throughout the project. Participate fully in all professional aspects of the project, including its operations and people. If you want to maintain professional ethics and stakeholder satisfaction, don't overextend yourself. Engagement, resilience, and the ability to sustain a high level of client and team satisfaction, according to John Paul Engel, president of Knowledge Capital Consulting, are the keys to delivering success.
     
  9. A well-liked and respected leader -
    Although you can't please everyone, having a well-respected leadership reputation usually signifies you've earned it via hard effort. This will take some time if you're new to project management. Working to improve your communication skills, investing in your stakeholders' success, and preserving accountability and integrity, among other things, will help you get there faster. Once you've arrived, it's much easier to lead projects and teams with ease.
     
  10. A strategic business partner -
    Project managers who can deliver higher-level strategic leadership skills, rather than merely technical management skills, benefit firms of all sizes significantly. Since the epidemic began in early 2020, there have been significantly more complex internal and external issues that might negatively affect initiatives of all kinds. The triple bottom line (economic, ecological, and social consequences), legal and legislative limits, remote project challenges, international and cultural factors, as well as severe resource constraints and delays, are all examples of such factors. Factors like this contribute to the challenges that a project manager must overcome. You greatly reduce your chances of producing good outcomes if you don't have a strong understanding of how your project fits into the overarching company-wide strategic goals. EPMOs (executive project management offices) concentrate on this link to boost project, programme, and portfolio success rates.
     

How can these qualities help to tackle the project hindrances?

Before we go any further, let's go over the limits that a project manager should be aware of. The following are the limitations:

  1. SCOPE - It specifies the customers' wants as well as the explicit and implicit requirements.
  2. TIME - Customers want their projects to be completed by a certain deadline.
  3. QUALITY - It is the standard to which a project is anticipated to be completed.
  4. RESOURCE - This refers to the quantity of money, budget, or resources allocated to the project.
  5. RISK - Specifies what might happen to throw the plan off track and what will be done to get it back on track.

These aren't the only limitations that a project may face. The following are some of the major reasons for the project's failure:

  • User interaction is lacking.
  • Timescales that are too long or too short.
  • Poor or non-existent requirements.
  • Creep in the scope.
  • There is no change management mechanism in place.
  • Inadequate testing.

The suggested attributes work together to assist a project manager avoid all of these stumbling blocks and move the project forward successfully.
 

Final thoughts

When using various project management systems to keep all elements of their projects organised, a project manager should have specific features and characteristics. These qualities enable a project manager to address each project as though it were its own distinct entity.

Furthermore, with the increasing need for project managers around the world, the traits listed above will undoubtedly aid you in gaining a foothold in the fast-paced market. I wish you the best of luck in your project management endeavours!
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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11 Key Reasons Why Agile Projects Fail: Overcoming Pitfalls

It's no secret that Agile projects can go wrong, but do you know why they go wrong and how to avoid them? I could explain why I believe they will fail. Instead, let me explain the eight reasons why agile initiatives fail, as reported by over 4,000 of your colleagues, and what you can do about it.

 

Reasons why Agile Project Fails

Unfortunately, running successful Agile projects right away isn't always possible. In truth, there can be significant obstacles with the Agile approach that prevent firms from adopting it and can result in big failures. 

Reasons why Agile Project Fails

So, what are the main obstacles to Agile management, and how can businesses overcome them to get the most out of this forward-thinking methodology?

 

  1. Lack of Cultural Transition Support -
    Organizational values and norms evolve through time, and once established, they are adamant about not changing. Senior management has the most clout when it comes to transforming an organization's culture to one that values agility. Cultural reform requires tangible, active involvement at the executive level.
     
  2. Inadequate management support -
    This is most often associated with "middle management." It's not uncommon for there to be a lot of enthusiasm for agile on the team level and general support for agile at the executive level in a poorly planned agile transformation, leaving project and programme managers, functional "resource" managers, and others in the middle of a messy "change sandwich." Without strong executive leadership, this management layer may feel isolated and revert to survival mode. Executive leaders must model the conduct they want their management team to exhibit, live the values they want them to adopt, and assist them understand how they fit into the changing organization during an agile transformation.
     
  3. Core Agile Values at Odds with Company Philosophy or Culture -
    We understand that agile is first and foremost about "how you think," followed by "what you do." If your company's culture is either ignorant of or antagonistic to agile ideas and ideals, your chances of achieving success outside of isolated agile teams are small. Understanding how agile affects corporate values and encouraging that transformation is the first step toward broader agile adoption and more success with agile as a delivery method.
     
  4. External pressure is exerted on traditional waterfall processes to be followed -
    This is especially frequent in large organizations, where agile teams and traditional waterfall teams are both working on the same portfolio. In such circumstances, agile initiatives are frequently grafted into existing traditional portfolio and project management (PPM) methodologies, rather than the PPM methodology being transformed to an agile approach. This isn't to say that agile won't succeed; it just means that it'll have to coexist alongside (and, to some extent, within) established methodologies. Two ways to facilitate that coexistence, as I point out in the white paper Get What You Want From Your Enterprise Agile Transformation, are to include people from outside the agile part of the organization in your planning, reviews, and retrospectives, and to agree on mutual organizational interfaces for the exchange of information.
     
  5. Inexperience with Agile Methodologies -
    Agile is primarily concerned with how you think, but it also has an impact on what you do and how you do it. Teams who lack the capacity to apply basic agile techniques are more likely to have problems. It is money well spent to invest in excellent fundamental training in agile methodologies, as well as professional coaching on how to apply them properly.
     
  6. Team's Reluctance to Follow Agile -
    When members of a team continue to define themselves by function, this is what happens (Dev, QA, etc.). When a team member with a "strong personality" insists on maintaining his or her position at the top of the pecking order, this can lead to team-level resistance. It boils down to a sense of loss of identity or control in both circumstances. To overcome these hurdles, executive leadership's effective impact on the culture and management team, rigorous training, and capable team-level mentoring are required.
     
  7. A More General Organizational or Communication Issue -
    To reaffirm what we've discussed in multiple previous sections, agile's efficacy is contingent on larger and deeper corporate buy-in to agile values and principles than one-off teams. Miscommunication may happen as a result of this. The Agile project could quickly fall apart if there is a lack of transparency in the work method. As a result, members would have to commit to realistic timetables and collaborate to achieve shared objectives.
     
  8. Insufficient training -
    Cutting corners on training is never a good idea, and it never results in a successful agile organization. Ascertain that everyone involved in your agile efforts has received thorough training. Do it as soon as possible. By the way, "everyone" includes your executive leadership.There are three types of "insufficient training":
  1. No training was provided.
  2. Not everyone who required training received it. 
  3. Some/all training was provided, but it was inadequate.
     
  1. Communication infrastructure in poor condition -
    Agile is all about communicating quickly and succinctly, speeding up decision-making, and effectively exchanging information. The word "siloed teams" appears frequently in Agile literature as something to avoid, as this is exactly what Agile is trying to avoid. However, in some firms, the linkages between different teams and levels of management simply do not exist — workers don't know who to talk to or how to do so. Agile project management will fail if communication fails.
     
  2. Goals that are not clearly defined -
    With manager-led projects, the PM may be responsible for the entire project's direction. They keep everyone in the loop about what they're supposed to be doing, collaborating with the team and other stakeholders on a regular basis and making minor adjustments to keep the project on track. With Agile, it's critical for everyone to understand what they're working toward, as they'll need to be able to make decisions that will help them achieve their objectives.
     
  3. Leadership Failure -
    When it comes to managing an Agile project, strong leadership is crucial. The Scrum Master (project leader) picked should have the ability, expertise, and experience of leading, overseeing, and executing project follow-ups. He or she should be able to remove any roadblocks that arise during the project and threaten its development. An Agile Scrum Master must also be able to provide clients and stakeholders with on-the-spot coaching while keeping politics and distractions away from the project team.

 

Ways to overcome Agile Failure

So, while converting to Agile project management isn't without risk, it's still a better option than traditional Waterfall project management. 

Ways to overcome Agile Failure

Is there anything that can be done to assist more firms, particularly major enterprises, in effectively transitioning to Agile? Yes, it is correct.

  1. Pick the correct tools - Switching to Agile also necessitates the use of the appropriate tools. You can't expect things to stay the same if you use the same project management tools you've always used. To meet your evolving culture and aim, you must be willing to modify tools and methods.
     
  2. Concentrate on values rather than methodologies -
    You can't begin an Agile transformation by concentrating on practises and methodology. Before attempting to execute your methodology, you must first define your business values. You'll wind up building the incorrect things if you don't.
     
  3. Hire Someone who has Experience -
    It's not easy to make the conversion to Agile. You can't simply decide to make the transition one day. To avoid Agile failure, especially in large organisations, the proper people must be in place to lead the transformation. That implies you'll need to hire folks who have worked with Agile before making the switch. The move will be a lot easier with the support of agile specialists.
     
  4. Keep the Code in Mind -
    Agile has its own language, and adhering to the proper language and norms is critical. Agile, for example, refers to quick 15-minute meetings as "standups." This implies you don't sit down, which helps keep the meeting short. As a result, don't term an Agile standup an hour-long "sit-down" meeting. Similarly, your leaders, often known as "Scrum Masters," are unable to micromanage team members. This is diametrically opposed to the Agile mindset. These factors contribute to Agile failure, however they aren't actually a component of the Agile methodology.
     
  5. Don’t start quickly -
    Don't make a hasty transition to Agile. It's a good idea to switch to Agile, but you should take your time, especially when it comes to adjusting to the new culture. So, to get a feel for Agile, start small. As you gain experience with modest projects, you may expand on your success and continue to use Agile effectively.

 

Conclusion 

If you're having trouble overcoming any of these obstacles to agile success, you're not alone. The underlying theme of these barriers is that they may be linked back to organizational cultural concerns. There's no avoiding the need for strong senior leadership, good training, and effective mentoring in order to achieve significant and long-term agile success. Agile changes are difficult for both organisations and employees to achieve. Remember that there is no one-size-fits-all approach to becoming agile in any firm. You must establish your own path to long-term progress and assist your organisation in moving toward agile transformation as a goal.
 

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Pros and Cons of Using AI in Cybersecurity: Key Insights

Year after year, the technology industry expands at a breakneck pace, resulting in increased data transmission. Software engineers and cyber security analysts rely on artificial intelligence and machine learning algorithms to better defend against hackers due to the vast data size.

By analysing the flow of online traffic, this ground-breaking technology will be able to predict cyberattacks before they happen. And, if AI can predict future threats, it will be better able to protect against them and eradicate them before they cause havoc. What if, on the other hand, hackers can use artificial intelligence to generate more powerful malware capable of breaching even the most sophisticated cyber security systems?

Artificial intelligence is being used by increasing cyber security organisations for a variety of reasons. In this essay, I'll discuss the benefits and drawbacks of AI in cyber security.

 

AI in Cyber security

Machine learning offers a wide range of uses. It's used by researchers and IT professionals in fields as diverse as medicine, mechanical engineering, marketing, astronomy, and more. The number of users is increasing as devices become more networked and reliant on the internet.

Hackers now have access to more data through destructive activity. They frequently employ AI technologies to limit the number of times malware is exploited.

The Android apps on the Google Play Store, for example, use adware to gain access to your phone. When users launch an app, the latter is software that automatically downloads advertising to their devices. AI is frequently used in such apps to create customised advertising content. On a daily basis, a typical mid-sized organisation receives up to 200,000 security threats. Even the most skilled experts will find it difficult to track because of this. Each analyst would have to go over each threat separately.

However, by repeating the process, more dangers and assaults may go unreported.

 

Pros of enlisting AI for cyber security

By predicting and preventing threats, artificial intelligence can help to improve cyber security and provide greater protection.

Pros of enlisting AI for cyber security

 

  1. Processes that are duplicated are reduced -
    Detecting possible risks is a process that is repeated and duplicated. Analysts can save a lot of time by using AI-driven algorithms instead of repeating the same process on millions of datasets. In the meantime, cyber security specialists can work on improving algorithms or learning more about new threats on the internet.

     
  2. Machine Learning Aids in the Fight Against Scams -
    To avoid spam emails and phishing scams, Google employs machine learning algorithms. Phishing is a technique in which hackers trick consumers into clicking on a link that appears to be a popular website such as Facebook or PayPal. Google's algorithms aid in the detection of dangerous emails, allowing users to be warned and protected.
     
  3. AI is capable of handling Large Amounts of Data -
    Cyber security automation aids businesses in managing massive amounts of data on a regular basis. A robust machine learning algorithm, on the other hand, can predict risks before they occur. It can also quickly skim through a large amount of data to find them. In a sea of chaotic data, the automated procedure streamlines the practise of assessing each cyber security occurrence.

     
  4. Algorithms improve their Learning Capacity Over Time -
    Machine learning and deep learning algorithms are used by AI-driven applications to learn. They are able to discern patterns and predict changes. The algorithm groups them together once they've been recognised, allowing for the detection and removal of prospective threats with comparable characteristics.
    Furthermore, AI cyber security solutions become familiar with typical network activity and can immediately identify any changes before taking action to eliminate threats. Such algorithms can also aid IT security experts in identifying hazards and resolving problems.
     
  5. Threats that aren't well-known are easy to spot -
    Every day, hackers release millions of pieces of harmful software. According to G Data Software's study, 7.41 million new malware samples were discovered per day in 2017. That number far outnumbers the abilities of professional hackers who frequently play hide-and-seek with the most recent virus.
    Instead, automated cyber security looks for changes in the network to spot new threats.
     
  6. Improved adaptability -
    Machine learning algorithms and deep learning are used by AI-driven applications and systems to learn. AI can readily grasp various IT trends and make modifications to its algorithms based on the most up-to-date data or information using these techniques. In the same way, AI in cyber security is conversant with complex data networks that can swiftly discover and eradicate security problems with minimal human participation.

 

Cons of enlisting AI for Cyber security

While automated cyber security has a number of advantages, it also has a number of drawbacks. Here's a list of them. 

Cons of enlisting AI for Cyber security

  1. AI is costly -
    The growth of artificial intelligence is primarily due to data science and big data. As a result, experts in this subject are few or impossible to come by. Many businesses are at risk of overspending due to the scarcity of cyber security AI solutions.
     
  2. Unemployment -
    Automated cyber security, like other AI-driven solutions, poses a risk of job loss. Many businesses do not require IT experts to manually test their networks. Artificial intelligence, on the other hand, is capable of completing the task.
     
  3. Evolvement of cyber threats -
    Artificial intelligence, as previously said, can process a big amount of data and swiftly recognise a threat in the midst of turmoil. AI-driven solutions, on the other hand, require continual upgrades and improvements to stay up with evolving threats. Hackers can be resourceful and create a variety of changes to mislead a programme.
    Before becoming available to the general public, AI systems are frequently subjected to extensive testing. Researchers open-source their work and publish it in open-access journals so that anybody can see it. That includes hackers, who can use such data to plan assaults ahead of time.
     
  4. Cybercriminals are also well-versed in Artificial Intelligence -
    Everyone has access to AI knowledge. As a result, fraudsters can easily obtain AI-generated cyber security solutions and utilise them to exploit malware. They can construct malevolent, AI-proof applications that can breach websites and organisations more effectively.

    Machine learning is used by cybercriminals to discover how AI-based cyber solutions are trained. They can also learn how to work together to avoid cyber threats. This technique will also be used by hackers to contaminate malware and make it appear innocent. IT security professionals will not focus on a "harmless" danger in such a case. They'll concentrate on what they consider to be the more dangerous threat, while the masked threat continues to harm your data.
     
  5. The invasion of privacy -
    Biometric systems and other AI-powered technologies may pose a threat to our sensitive and secret data. These devices have the ability to send our data to third-party providers, who may then misuse it, infringing on the privacy of both individuals and businesses.

 

Today's Major Cyber security Challenges

Despite cyber security breakthroughs, internet attacks are getting increasingly deadly. And the challenges that the industry is facing aren't helping matters.

  1. There are far too many IT systems spread out throughout the globe, making manual tracking more challenging. Despite the fact that many of them have successful manual monitoring, the entire procedure is difficult. Experts in cyber security must overcome infrastructure differences.
  2. Threat-tracking by hand can be costly and time-consuming. As a result, more attacks may go undetected or untreated in a timely manner.
  3. Because of the reactive nature of cyber security, we can only tackle problems after they've occurred. For security specialists, predicting threats before they cause damage to IT systems is a huge task.
  4. To conduct a cyberattack, hackers frequently modify and mask their IP addresses using various methods. They use VPNs (Virtual Private Networks), proxy servers, TOR browsers, and other tools. These methods allow hackers to remain anonymous and undiscovered. As a result, in order to safeguard your data, you must equip your smartphone with these vital tools.

 

Role of Microsoft in the evolution of AI in Cyber security

In 2017, the evolution of AI in cyber security began. Microsoft announced the acquisition of Hexadite, an artificial intelligence cyber security firm based in the United States and Israel. That's when many businesses understood that the only way to deal with massive amounts of data was to use an efficient algorithm.

The company's cutting-edge technology was one of the key reasons Microsoft purchased it. That technology will be used in Windows Defender's Advanced Threat Protection functionality. It will be able to predict zero-day assaults, ransomware, and other threats thanks to the AI-driven upgrade.

 

Final thoughts

AI continues to be integrated into futuristic cyber security solutions by cyber security companies and organisations. That trend was expedited by Microsoft's game-changing acquisition. In the battle against cybercrime, AI technologies will improve and become even more effective.

For every firm to run successfully, the interaction between AI and cyber security is critical. It's a proactive method that gives you insight into the ongoing operation so you can anticipate and respond to threats. It encourages the use of artificial intelligence to make data-driven judgments. To comprehend the relationship between AI and cyber security methods, protocols, rules, procedures, and strict measures are required. This gives you control over your risk management system and aids in the development of a cyber security strategy.

With that in mind, there will be a slew of additional benefits to adopting automated methods to combat hackers.

Do you believe that Artificial Intelligence will be able to eliminate cyber threats? In the comments section below, express your thoughts on the subject.
 

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Fundamentals of Project Sustainability: Essential Insights.

Sustainable development is a notion that refers to the continuity of human society's economic, social, institutional, and environmental components, as well as the non-human environment. The ability to sustain a business at a specific level indefinitely is a property of a process or situation. Project sustainability is currently a typical approach to the management of projects, programmes, institutions, organisations, individuals, and other entities that require effective and efficient product and service creation, marketing, distribution, and delivery.
 

From project discovery to feasibility studies, conceptualization, design, appraisal, funding, execution, monitoring, and evaluation, specific metrics and criteria must be established in order for initiatives to be sustained. It is a well-known fact that most projects fail due to a lack of a suitable sustainability plan. For project execution, a thorough examination of the social, economic, legal, cultural, educational, and political surroundings is required.
 

The plan should completely describe and state the project philosophy, mission, vision, values, goals, and objectives. The involvement of stakeholders and advocates is critical since it allows for some logistical planning. Beneficiary analysis, legal and regulatory framework studies, marketing and competitive analysis, partnership creation, and institutional analysis all help to ensure that projects are implemented effectively and efficiently.
 

Characteristics of Project Sustainability

Project sustainability management (PSM) is gaining traction in project management and is altering the dynamics of a range of projects' execution. Business sustainability refers to a situation in which people and commerce impose demands on the environment that may be met without compromising the environment's ability to provide for future generations. The main premise is for businesses to offer tasks and services that are successful and efficient while also promoting societal sustainability.
 

Services and products should have minimal or no competition in terms of image, power, quality, packaging, prices, and so on, in order for a firm to be viable in the marketplace. Instead, products and services should be delivered in such a way that they reduce consumption, energy consumption, distribution costs, economic concentration, and other forms of business and environmental harm.
 

Following are the Characteristics of Project Sustainability:
 

1) Adaptability

Adaptability in organisational management refers to the ability to adjust something or oneself to accommodate changing circumstances and cope with unforeseen disruptions in any context. It is a system's ability to adapt efficiently and quickly enough to changing circumstances. As a result, a sustainable project should be adaptable and able to fit into any changing environment or system.
 

2) Auditing Capability

A person, organisation, system, process, enterprise, project, or product is frequently the subject of an audit. This notion, however, can be applied to project management, quality control, and energy conservation. Audits are conducted to determine the quality and reliability of data in order to offer an opinion on a subject under consideration and to establish an internal control system. Organizations are using risk-based audits to cover different regulations and standards in order to assure credibility, good governance, and sustainability as a result of increased regulations and the requirement for operational transparency.
 

3) Ability to Implement

One of the most important principles in project management is that it must be reasonable, feasible, attainable, and, most importantly, implementable in order to be marketable.
 

4) Scalability

Scalability refers to a project's ability to expand its scope of operation and accommodate additional capacity or capabilities. It also addresses the project's potential to expand in size, volume, number, or scope in order to accommodate unforeseen extra components or features.
 

5) Extensibility

This refers to the ability to expand the project by adding new functions or modifying current ones in order to impact change while keeping existing project functions to a minimum.
 

6) Maintainability

When errors can be repaired, new requirements can be met, future maintenance is simplified, and the project can adapt to changing conditions, it is considered sustainable.


7) Manageability

A long-term project should have a clear organisational structure that defines roles, responsibilities, and responsibilities. This will make project management easier and increase its long-term viability.
 

Implementation of the Strategic Plan

In ministries and related departments and divisions, public, non-governmental organisations, parastatal organisations, international organisations, and private enterprises, a strategic plan is created to ensure that services are delivered effectively and efficiently. Small and large firms, agro-industrial complexes, pharmaceutical industries, and a variety of other businesses that require quality in their products and services, as well as their general operation, can benefit from this implementation plan.
 

This plan includes seventeen important implementation steps, including top management commitment, the development of a corporate strategic plan, the development of an organisational structure, the development of an implementation budget, the formation of a quality council, teams, and panels, the beginning of an awareness plan, the training of team leaders and facilitators, the conduct of an initial survey, the documentation of the implementation plan, the documentation of the quality system, the documentation control, and the act.
 

Because it will result in a "paradigm shift" and "culture transition," the implementation affects the entire company from the start and is pushed with zeal. The complexity of the process is determined by the sophistication of the society and organisation, as well as the size of the organisation. Identifying programme goals to be addressed in the identified time period, determining programme logic, targeting specific audiences, specifying desired outcomes, determining the current situation, identifying sequenced learning strategies, determining resource needs, and selecting specific marketing strategies are all basic elements of implementation planning.
 

The following are some of the advantages of effective implementation planning:

  • Possibilities for greater programme impact, Sequence and continuity in educational programmes
  • Clarification of the actions and resources required to carry out a programme,
  • Program marketing is being planned.
  • enhanced evaluation and accountability,
  • Improved time management and scheduling, as well as increased personal satisfaction from a sense of progress and accomplishment.
     

Project Management for Longevity (Project Sustainability Management)

Project sustainability management is a novel idea born from the requirement for project sustainability (PSM). This is a complex mix of systems, structures, plans, resources, laws, regulations, technology, and other processes put in place to manage the sustainability process of any project effectively and efficiently. The project sustainability management process is intended to tailor sustainable development project goals and indicators to local conditions and priorities, as well as to guarantee that project sustainability goals are linked to societal goals and objectives.
 

A project sustainability management system identifies the relevant issues, objectives, and performance levels that must be met; it also establishes an ethical framework as the foundation for establishing policies and codes of conduct, consults with and maintains a dialogue with stakeholders, and accounts for the results achieved.
 

The following are the global principles of sustainable development:

  1. This is a concern for the future. This entails a variety of innovations to create and improve for the future, anticipating what may occur, and enabling information through sharing and increased interaction. Innovation also improves the gathering and assimilation of information about new products and processes.
     
  2. Participation refers to the involvement of stakeholders in project decision making. This necessitates a significant amount of education and trust in order to engage stakeholders and build their capacity to identify issues, incorporate local values, and communicate their experiences.
     
  3. Resources—This is the concern for equitability in resource consumption and improvement in resource utilisation. This necessitates continuous improvement in methods for identifying and managing resources, as well as seeking new knowledge and information about them.
     
  4. Concern for the quality and integrity of the environment necessitates the adaptation of global standards to local conditions. This entails using a variety of indicators to match project aims with global goals while also taking into account local circumstances.

 

Conclusion

A project must always have the rationale, demand and supply basis, expenses, expected outcomes or outputs, and performance metrics, all of which must be met in order for it to be funded. In order to assess affordability, demographic studies examine needs, income, interests, cultures, education, and other humans, social, and economic characteristics. The legal and regulatory framework deals with licences and authorizations, as well as the many rules, regulations, bylaws, and procedures that are necessary by law for project implementation in that environment.

Technically, the project's information, communication, and technology (ICT) infrastructure, particularly access to modern technology and systems, should be properly assessed.

Sustainability's philosophical and analytical framework draws on and connects with many different disciplines and fields, and it has tended to be problem-driven and oriented toward guiding decision-making. 

The emphasis shifts from the total carrying capacity (sustainability) of the planet to the sustainability of economic and social sectors, ecosystems, countries, municipalities, neighbourhoods, home gardens, individual lives, individual goods and services, occupations, lifestyles, behaviour patterns, academic and research institutions, political institutions, and business operations.

Sustainable development is a situation in which human and commercial demands on the environment can be addressed without compromising the environment's ability to provide for future generations. The main premise is for businesses to offer tasks and services that are successful and efficient while also promoting societal sustainability.

Services and products should have minimal or no competition in terms of image, power, quality, packaging, prices, and so on, in order for a firm to be viable in the marketplace. Instead, products and services should be delivered in such a way that they reduce consumption, energy consumption, distribution costs, economic concentration, and other forms of business and environmental harm. Stakeholder analysis, policy development, and objective and design are the major ways for operating an organisation according to sustainable development principles.
 

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Top Data Science Tools Everyone Should Know for data insight

Data Science is a broad field that entails a variety of data manipulation techniques. To finish your task successfully as a data scientist or IT expert, you need to be aware of the top Data Science tools available on the market. Are you aware that the worldwide Data Science industry is predicted to develop at a 30% CAGR (Compound Annual Growth Rate)?

 

Top 30 Data Science Tools

Knowing how to use Data Science tools that can help you to launch a successful Data Science career. 

Top 30 Data Science Tools

Continue reading to learn about some of the best Data Science tools on the market!

  1. MATLAB -
    MATLAB is a prominent Data Science tool which is used by businesses and organisations. It's a programming platform for data scientists that allows them to access information from databases, flat files, cloud platforms, and other sources. 

MATLAB

With MATLAB, you can quickly do feature engineering on a dataset. The data types in MATLAB are specifically developed for Data Science and save a consequential amount of time in data pre-processing.
 

  1. JULIA -
    Many Data Scientists consider Julia to be the successor to Python. Julia is a programming language especially built for Data Science. Julia can match the speed of popular programming languages like C and C++ during Data Science operations thanks to its JIT (Just-in-Time) compilation. Julia helps you to complete statistical calculations in Data Science in less time. 

JULIA

Julia enables you to manually control the trash collection process and eliminates the need for memory management and it is one of the most popular programming languages for Data Science because of its autonomous memory management and math-friendly syntax.
 

  1. APACHE KAFKA -
    Apache Kafka is a distributed messaging system that helps enormous amounts of data to be transferred from one application to another. With Apache Kafka, you can build data pipelines in less time. Kafka, known for its fault tolerance and scalability that will ensure that no data is lost while transporting data between apps. 

APACHE KAFKA

Apache Kafka is a publish-subscribe messaging system that allows publishers to send messages to subscribers based on topics and the publish-subscribe messaging system allows subscribers to consume all of the messages in a subject.
 

  1. MINITAB -
    Minitab is a widely used data manipulation and analysis software tool. Minitab can help you find trends and patterns in an unstructured collection. Minitab can be used to make the dataset that will be used as the input for data analysis easier to understand. Minitab can also help data scientists with graph building and data science computations.

MINITAB

Minitab generates descriptive statistics based on the input dataset, highlighting many key data points such as mean, median, standard deviation, and so on. Minitab allows you to make a number of graphs as well as do regression analysis.
 

  1. SAP HANA -
    Sap Hana is a relational database management system for storing and retrieving data that is simple to use. It is a useful tool in Data Science because of its in-memory and column-based data management technique. Sap Hana can work with databases that store things in a geometrical space (spatial data).

SAP HANA

Text search and analytics, graph data processing, predictive analysis, and other Data Science tasks are all possible with Sap Hana. Its in-memory data storage retains data in the main memory rather than on a disc, making searching and data processing more efficient.
 

  1. SAS -
    SAS (Statistical Analysis System) is a Data Science tool which has been around for a long time. SAS helps users to perform granular textual data analysis and generate meaningful results. Many Data Science professionals prefer SAS reports because they are more aesthetically appealing. 

SAS

SAS is also used to access or retrieve data from numerous sources, in addition to data analysis. It is commonly used for data mining, time series analysis, econometrics, and business intelligence, among other Data Science activities. SAS is a platform-agnostic programme which can also be used for remote computing and the importance of SAS in quality improvement and application development cannot be overstated.
 

  1. EXCEL -
    One of the best tools for Data Science beginners is Excel, which is part of Microsoft's Office suite. It also aids in the study of Data Science foundations before moving on to sophisticated analytics. It is one of the most widely used data visualisation tools among data scientists.

EXCEL

Excel presents data in a simple way, using rows and columns, so that even non-technical users may grasp it. Concatenation, determining average data, summation, and other Data Science processes are all possible with Excel formulas. Because of its ability to process large data sets, it is one of the most significant tools for Data Science.
 

  1. GOOGLE ANALYTICS -
    Data scientists are employed in a wide range of industries and fields, including digital marketing. In the field of digital marketing, it's one of the most often used Data Science tools. In order to better understand how consumers engage with a website, a web administrator can utilise Google Analytics to access, visualise, and analyse data.

GOOGLE ANALYTICS

Google Analytics can recognise and exploit the data trail left behind by visitors to a website in order to assist marketers in making better marketing decisions. It may also be used by non-technical individuals to do data analytics because of its high-end analytics and easy-to-use interface.
 

  1. SPSS -
    Researchers frequently use SPSS (Statistical Package for the Social Sciences) to analyse statistical data. SPSS can also be used to speed up survey data processing and analysis

SPSS

To develop prediction models, you can utilise the SPSS Modeler tool. In surveys, text data is present, and SPSS can extract insights from it. You may also use SPSS to create a density chart or a radial boxplot, among other data visualisations.
 

  1. APACHE HADOOP -
    Apache Hadoop is an open-source platform for parallel data processing that is widely utilised. Any huge file is split into chunks and spread among multiple nodes. 

APACHE HADOOP

Hadoop then use the node clusters for parallel processing. Hadoop is a distributed file system that fragments data and distributes it across numerous nodes. In addition to the Hadoop File Distribution System, other Hadoop components such as Hadoop YARN, Hadoop MapReduce, and Hadoop Common are used to process data in parallel.
 

  1. MONGODB -
    MongoDB is a high-performance database and one of the most often used Data Science tools. The collection (MongoDB documents) feature of MongoDB allows you to store large volumes of data. It includes all of the characteristics of SQL, as well as the ability to conduct dynamic queries.

 

MONGODB

MongoDB is a database that uses JSON-style documents to store data and enables for high data replication. Because it provides high data availability, MongoDB makes managing massive data much easier. In addition to simple database queries, MongoDB can perform advanced analyses. Because of its scalability, MongoDB is one of the most widely used Data Science tools.
 

  1. MICROSTRATEGY -
    MicroStrategy is used by data scientists who are also interested in business intelligence. MicroStrategy offers a comprehensive set of data analytics tools, as well as improved data visualisation and discovery. MicroStrategy can access data from a wide range of data warehouses and relational systems, improving data accessibility and discovery.

 

MICROSTRATEGY

For easier analysis, MicroStrategy helps you to break down unstructured and complex data into smaller chunks. MicroStrategy enables the generation of more accurate data analytics reports and real-time data monitoring.

 

  1. APACHE SPARK -
    When conducting Data Science jobs, Apache Spark was designed with low latency in mind. Interactive queries and stream processing can be handled by Apache Spark, which is based on Hadoop MapReduce. It has become one of the most powerful Data Science tools on the market thanks to its in-memory cluster processing.

APACHE SPARK

Its in-memory computing speeds up processing significantly. Apache Spark supports SQL queries, allowing you to infer various relationships from your data. Spark also includes Java, Scala, and Python APIs for building Data Science applications.
 

  1. DATAROBOT -
    DataRobot is an essential tool for Data Science tasks such as machine learning and artificial intelligence. You may quickly drag and drop datasets on the DataRobot user interface. Data analytics are accessible to both rookie and professional data scientists thanks to its user-friendly design.

DATAROBOT

DataRobot allows you to simultaneously design and deploy over 100 Data Science models, giving you a wealth of data. Businesses use it to provide high-end automation to their clients and customers. DataRobot's powerful predictive analysis can help you make data-driven decisions with confidence.

 

  1. APACHE FLINK -
    It's one of the best Data Science tools from the Apache Software Foundation for 2020/2021. Apache Flink is capable of performing real-time data analysis in a short amount of time. Apache Flink is a scalable open-source distributed platform for Data Science calculations. Flink provides a low-latency pipeline and parallel data flow diagram execution.

 

APACHE FLINK

Apache Flink can also process an unbounded data stream with no set beginning and end points. Apache is well-known for its Data Science tools and methods, which can aid in the analytical process. Flink is a tool that helps data scientists reduce complexity while processing real-time data.
 

  1. KNIME -
    Knime is a popular data reporting, mining, and analysis tool in Data Science. It is one of the most significant tools in Data Science because of its ability to extract and transform data. Knime is a free-to-use open-source platform in various regions of the world.

KNIME

It employs the 'Lego of Analytics,' a data pipelining concept for bringing together various Data Science components. Knime's intuitive GUI (Graphical User Interface) allows data scientists to execute jobs with little or no programming experience. Visual data pipelines from Knime are used to create interactive representations of datasets.
 

  1. RAPIDMINER -
    Because of its ability to build an adequate data preparation environment, RapidMiner is a popular Data Science software tool. RapidMiner is capable of building any data science/machine learning model from the bottom up. RapidMiner enables data scientists to monitor data in real time and perform advanced analytics.

RAPIDMINER

RapidMiner can do text mining, predictive analysis, model validation, comprehensive data reporting, and other Data Science tasks. RapidMiner's scalability and security features are especially noteworthy. RapidMiner can be used to build complete commercial Data Science applications.

 

  1. BIGML -
    BigML is used to generate datasets that can be shared easily with other systems. BigML was originally designed for Machine Learning (ML), but it is now widely used to develop practical Data Science methodologies. You can easily classify data and find anomalies/outliers in a data collection using BigML.

BIGML

BigML's interactive data visualisation approach makes data scientists' decision-making straightforward. The Scalable BigML platform can be used for time series forecasting, topic modelling, association discovery, and other tasks. You can use BigML to work with large volumes of data.
 

  1. TENSORFLOW -
    Modern technologies such as Data Science, Machine Learning, and Artificial Intelligence regularly use TensorFlow. TensorFlow is a Python library for creating and training Data Science models. You can take data visualisation to the next level with TensorFlow. 

TENSORFLOW

Because TensorFlow is written in Python, it is straightforward to use and often used for differential programming. TensorFlow is a programming language that may be used to deploy Data Science models across multiple devices. TensorFlow's data type is an N-dimensional array, often known as a tensor.
 

  1. TABLEAU -
    Tableau is a data visualisation software that helps with data analysis and decision-making. Tableau enables you to visually portray data in less time so that it can be understood by everyone. Tableau can assist you in resolving complex data analytics issues in less time. You don't have to bother about setting up the data when you use Tableau; instead, you can focus on the rich insights.

TABLEAU

Tableau, which was launched in 2003, has completely changed the way data scientists approach challenges. Tableau enables customers to get the most out of their data and produce insightful insights.

 

  1. POWERBI -
    One of the most essential data science and business intelligence tools is PowerBI. It can be used to visualise data in conjunction with other Microsoft Data Science tools. You can generate rich and intelligent reports from any dataset using PowerBI. Users can also create their own data analytics dashboards with PowerBI.

POWERBI

Incoherent data sets can be turned into coherent data sets using PowerBI. You may develop a logically consistent dataset that produces rich insights with PowerBI. PowerBI may be used to create visually beautiful reports that are also easy to comprehend for non-technical people.
 

  1. PYTHON -
    Data Science tools and technology aren't limited to databases and frameworks. When it comes to Data Science, choosing the right programming language is crucial. Python is often used by data scientists for site scraping. Python provides a variety of libraries designed expressly for Data Science projects.

PYTHON

Python enables you to do a wide range of mathematical, statistical, and scientific calculations efficiently. Some of the most widely used Python libraries for Data Science are NumPy, SciPy, Matplotlib, Pandas, Keras, and additional Python libraries.
 

  1. R -
    R is a scalable software environment for statistical analysis and is one of the many popular programming languages used in the Data Science area. Data clustering and classification can be done faster with R. R can create a wide range of statistical models, including linear and nonlinear models.

 

R

R is an excellent data cleansing and visualisation tool. R presents data in an easy-to-understand format so that anyone may grasp it. In R, you can use DBI, RMySQL, dplyr, ggmap, xtable, and other Data Science add-ons.

 

  1. QLIKVIEW -
    QlikView is a business intelligence tool and one of the most widely used Data Science tools. QlikView may be used by data scientists to find correlations between unstructured data and do data analysis. QlikView can also be used to display data relationships visually. With QlikView, data aggregation and compression may be done more quickly.

QLIKVIEW

You won't have to waste time figuring out how data entities are related because QlikView takes care of everything for you. Its in-memory data processing offers faster results than other Data Science tools on the market.
 

  1. TRIFACTA -
    Trifacta is a data preparation and cleaning tool that is widely used in Data Science. Trifacta can clean both structured and unstructured data in a cloud data lake. Trifacta significantly accelerates the data preparation process when compared to competing platforms. Errors, outliers, and other anomalies in a dataset are easy to spot with Trifacta.

TRIFACTA

In a multi-cloud environment, Trifacta can also help you prepare data more quickly. Data visualisation and data pipeline management can be automated with Trifacta.
 

  1. SCIKIT - LEARN -
    Scikit-learn is a Python toolkit that contains a huge variety of machine learning algorithms, both unsupervised and supervised. Pandas, SciPy, NumPy, and Matplotlib components were combined to make it.

SCIKIT - LEARN

Scikit-learn supports a variety of functions for implementing Machine Learning Algorithms, including classification, regression, clustering, data pre-processing, model selection, and dimensionality reduction. The goal of Scikit-main learn is to make complex machine learning algorithms easier to implement. This is why it's ideal for applications that need to be prototyped quickly.
 

  1. QUBOLE -
    Qubole is committed to making data-driven insights accessible to the general public. Customers of Qubole handle nearly an exabyte of data every month, making us the leading cloud-agnostic big-data-as-a-service provider. Customers have chosen Qubole because we pioneered the industry's first autonomous data platform.

QUBOLE

This cloud-based data platform maintains, optimises, and learns to improve itself automatically, resulting in unmatched agility, flexibility, and TCO. Customers of Qubole care more about their data than they do about their data platform. Qubole's backers include CRV, Lightspeed Venture Partners, Norwest Venture Partners, and IVP.
 

  1. PAXATA -
    Paxata is the first company to use an intelligent, self-service data preparation application built on a scalable, enterprise-grade platform powered by machine learning to intelligently enable all business consumers to transform raw data into ready information, instantly and automatically. Any organization's Adaptive Information Platform weaves data into an Information Fabric from any source, cloud, or environment in order to produce trustworthy information. With Paxata, users click rather than code to achieve goals in minutes rather than months. They provide all firm customers with the chance to learn about material at their own pace. Make your organisation data-driven.

PAXATA

Paxata works with industry-leading cloud, big data, and business intelligence solution providers like Cloudera and Amazon, as well as BI tools like Salesforce Wave, Tableau, Qlik, and Microsoft Excel, to drastically cut the time it takes to get valuable business insights.

 

  1. ALTERYX -
    Alteryx Inc., situated in Irvine, California, offers a simple-to-use, end-to-end analytics platform that enables business analysts and data scientists to break down data silos and deliver game-changing insights to solve complex business problems. The Alteryx platform is self-serve, click, drag-and-drop for hundreds of thousands of individuals in big organisations all around the world.

ALTERYX

Feature Labs, founded in 2015 by MIT data scientists Max Kanter and Kalyan Veeramachaneni, was acquired by Alteryx in order to enhance the platform's capabilities.
 

  1. JUPYTER -
    Project Jupyter is an open-source platform based on IPython that helps developers create open-source software and interactive computing experiences. Jupyter supports a number of languages, including Julia, Python, and R.

JUPYTER

It's a web-based tool that lets you write live code, visualise data, and give presentations. Jupyter is a widely used programming language that was created with data scientists in mind. It's a user-friendly environment where Data Scientists can do all of their responsibilities. It also offers a lot of presentation features, which makes it a wonderful tool for telling stories. Jupyter Notebooks can be used for data purification, statistical processing, visualisation, and predictive machine learning models. Because it is based on open-source software, it is absolutely free.

Collaboratory is a web-based Jupyter environment that runs in the cloud and keeps data in Google Drive.
 

Wrapping up

Data Science is a complicated field that necessitates a wide range of tools for processing, analysing, cleaning, and organising data, as well as munging, manipulating, and interpreting it. The task isn't done yet. After the data has been evaluated and processed, Data Science specialists must build attractive and engaging visualisations for all project stakeholders to understand. Furthermore, Data Scientists must use machine learning techniques to create effective predictive models. All of these tasks would be impossible to complete without the use of Data Science tools.
 

We come to the conclusion that data science necessitates a diverse set of tools. Data science tools are used to analyse data, create aesthetically pleasing and interactive visualisations, and build effective predictive models using machine learning techniques. The majority of data science solutions allow you to do complicated data science operations all in one spot. This makes it easy for users to create data science functions without having to start from scratch. There are also a number of other tools that cater to data science application domains.
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses

 

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IT Security Roles: Cyber Professionals' Duties & Tasks ASAP

Technology has intertwined our personal and professional lives in ways that were inconceivable just a few decades ago. Cloud computing, mobility, and the sophisticated devices most of us carry in our pockets enable a culture of ease as well as the opportunity to collaborate and be more productive. While this convenience may make our lives easier, it also makes it easier for cybercriminals to access our sensitive personal information no matter where it resides or travels across the network. There is a huge market for the sale and exploitation of that data, so these bad actors have plenty of reason. Hackers and cybercriminals will eventually find a method to access your data, even if you have the greatest Cyber Security Professional on your side. That isn't to argue that everything is bleak. IT security professionals fight on the front lines of this war to keep up with the ever-changing threat landscape.

 

Important skills for Cyber security professionals

More than technical capabilities are required of successful IT security experts. To make real progress in the sector, these professionals should be able to:

Important skills for Cyber security professionals

  • Learners - Technical proficiency is another essential skill. With the rapid pace of change in IT security, this necessitates continual study, training, and certification. To be able to tackle complicated security challenges, these specialists need to be constantly learning new advanced technology skills.
     
  • Communicators - Effective coordination with teams and clients is ensured through management and communication abilities. Every employee in an organisation is affected by technology and security. By teaching and empowering people to assist secure systems, security professionals must interact in meaningful ways.
     
  • Strategists - Professionals in cyber security should be able to proactively deploy security measures and controls within enterprises while assessing the implications of every action. Workflows, dependencies, finances, and resources must all be evaluated tactically and strategically in order to implement advanced security processes. Because new ways to hack information are appearing all the time, specialists must stay one step ahead of the game, learning how hackers get into networks and how to stop them.

 

Responsibilities of the cyber security professional 

New security risks emerge on a regular basis, and IT security experts must keep up with the current strategies used by hackers in the field. In addition to the high-level roles listed above, IT security teams also do the following tasks:

  • Set up and use identity and access management systems, as well as user access controls.
  • To detect and prevent abnormal activity, keep an eye on network and application performance.
  • Conduct regular audits to ensure that security procedures are in compliance.
  • To thwart malicious hacks, use endpoint detection and prevention solutions.
  • Set up patch management systems to automatically update software.
  • Implement comprehensive vulnerability management systems across all assets, including on-premises and in the cloud.
  • And collaborate with IT operations to create a single disaster recovery/business continuity strategy.
  • Educate staff on how to spot suspicious conduct in collaboration with HR and/or team leads.

 

Salary for cyber security professional

Salary for cyber security professional 

Cyber security professionals, for example, earn an average of $116,000 per year or $55.77 per hour, according to CIO, but PayScale estimates that the average wage for computer security specialists is around $74,000, with geography being a big role in pay structure.

 

Different roles in Cyber Security

Starting as a generalist and then specialising in an area of interest or strength might assist cyber security professionals. These are some of the possibilities:

  1. Application Security
  2. Data loss prevention
  3. Forensics
  4. Network Security
  5. Security Architecture
  6. Threat Intelligence
  7. Incident response
  8. Vulnerability management 

 

Job growth in Cyber Security

Job growth in Cyber Security

Professionals in cyber security work in practically every area and industry – public and private, for-profit and charity – and at both large and small enterprises and organisations, including:

  • Government
  • Finance and Banking
  • Health Care
  • Insurance
  • Technology
  • Government 
  • Telecommunications
  • Law enforcement 

What are Cyber Security people known as?

Cyber security specialists go by a variety of names, but their work titles or descriptions "usually" include the terms "information security," "cyber security," or "similar terms." Here are several examples:

  • Cyber Security Specialists
  • Penetration Testers
  • Cyber Security or Security Administrators
  • Cyber Security or Security Principals
  • Cyber Security or Security Technicians
  • Cyber Security Specialists
  • Cyber Security Technical Architects
  • Information Security, Cyber Security or Vulnerable Analysts 

 

Roles of Cyber Security Professionals

Cybersecurity experts are in charge of protecting IT infrastructure, edge devices, networks, and data at a high level. They are in charge of preventing data breaches as well as monitoring and responding to attacks. Many come from programming, systems or network administration, as well as math and statistics backgrounds. Those skills are unquestionably important in the role of an IT security expert, but equally important are the qualities that cannot be taught: critical thinking, curiosity, and a desire to learn and explore. Companies should not limit themselves to a small pool of candidates because those attributes exist in people from all walks of life. Hackers are also naturally creative. To outwit them, security professionals must be as well.

 

Common skills that are required in this field

Not sure if a career in cyber security is right for you? If the prospect of working as an information security analyst, penetration tester, or computer forensics investigator has piqued your interest, you may already have a few skills required for one of these positions.

  Required skills

 

 

 

 

 

 

 

 

A qualified information security practitioner will require the following skills:

  • Ability to work in a challenging environment.
  • Should be analytical.
  • Should be logical.
  • Should have a strong background in Information Security (IT).
  • Should have proper knowledge of Networking, database and Systems.
  • Should be aware of the developments in Cyber Security.
  • Should have experience with Web Proxy Management and Antivirus Software.
  • Should know about the UK Laws and Regulations which are applicable in relation to IT Security.
  • Strong communication abilities, as well as the capacity to change communication techniques to meet the needs of various audiences.
  • Strong analytical abilities and a keen eye for data trends are required.

 

What does it involve?

The primary purpose of IT security, as well as the primary job of an IT security expert, is to:

  1. Create barriers to external access to computer systems to protect them.
  2. Recognize faults within systems by looking for unusual activities.
  3. Examine the present state of network security and conduct audits.
  4. Implement enhancements where necessary, and keep users informed by submitting performance reports on a regular basis to communicate system security status.

An IT Security specialist's regular working hours will be 37 or 40 hours per week. However, you will very certainly be required to remain on call 24 hours a day, seven days a week in the event of a security breach. This is something you should be aware of.

 

Qualifications for Cyber Security Professionals 

If you believe you have some of the abilities listed above plus a strong interest in information security, you should consider pursuing a career in cyber security. If you're just starting out in your career, a suitable degree subject is one of the finest methods to break into the information security field.

Qualifications for Cyber Security Professionals 

  • IT
  • Physics, Mathematics and other STEM subjects
  • Forensic Computing
  • Network Engineering
  • Networks and Security
  • Computer Science
  • Cyber Security

 

Some Certification Courses for Cyber Security Professionals

If you're already employed in the cyber security field, you might want to pursue a few additional certifications to advance your career. With so many industry-related certifications available, it's critical that professionals only take modules that pertain to their area of expertise. 

Certification Courses for Cyber Security Professionals

There are a few other qualifications available for cyber security experts to consider:

  1. Certified Information Systems Security Professionals (CISSP) -
    The CISSP is the most widely held certification among information security professionals, and it is frequently required for advancement in this field. Individuals must have four or more years of experience and typically work as consultants or managers. Before ending in a six-hour exam, the qualification covers eight cyber security topics, including asset security, security engineering, and identity and access management. The certification is a worldwide recognised mark of quality and one of the requirements of the ISO/IEC Standard 17024.

     
  2. Certified Information Security Manager (CISM) -
    The CISM certification is an excellent approach to advance your career for people with at least five years of experience working in the sector. Before you may receive the certification, you must have completed the requisite five years of work experience, including at least three years in an information security management position. To be eligible for accreditation, you must have completed your work experience within the previous ten years before applying.

     
  3. Systems Security Certified Practitioner (SSCP) -
    This accreditation, which only requires one year of experience and provides the ideal opportunity for individuals to demonstrate their technical abilities and security expertise, is ideal for professionals just starting out in cyber security. Individuals who want to get the SSCP must have a thorough understanding of all the skills and information needed to succeed in this sector, with modules covering topics like risk identification and cryptography. Finally, a three-hour exam will be used to evaluate individuals studying for the SSCP.

 

Importance of Cyber Security

Importance of Cyber Security

Everyone benefits from improved cyberdefense strategies in today's linked society. A cybersecurity attack on an individual level can result in everything from identity theft to extortion attempts to the loss of crucial data such as family photos. Critical infrastructure, such as power plants, hospitals, and financial services organisations, is used by everyone. It is critical to keep these and other institutions secure in order for our society to function. Cyberthreat researchers, such as the team of 250 threat researchers at Talos, who analyse new and emerging dangers and cyber assault techniques, help everyone. They expose new vulnerabilities, raise public awareness about the need of cybersecurity, and improve open source tools. Their efforts help to make the Internet a safer place for everyone.

 

Cyber Security Threats

Cyber Security Threats

  1. Mobile Security Threats -
    Businesses can benefit from mobile technology, but it also exposes them to the risk of cyber security breaches. According to the findings of a recent mobile security survey, one out of every five enterprises has experienced a mobile security breach. Malware and malicious Wifi were responsible for the majority of these attacks.

     
  2. Outdated Hardware -
    Software isn't the only source of cyber security problems. The rapid distribution of software updates might make it difficult for hardware to keep up. As a result, there are exposures that can put a company's data at risk. Many antiquated devices will not allow updates with the most recent patches and security measures when hardware becomes obsolete. Devices that run on older software are more vulnerable to cyber attacks, posing a significant risk. It's critical to keep an eye on this and respond immediately if equipment becomes obsolete. You should keep your hardware up to date in the same way that you keep your software up to date.

     
  3. Internet of things (IoT) -
    The Internet of Things (IoT) uses the internet to connect gadgets from all around the world. This enables for the creation of a network of data-storage, data-transmission, and data-receiving devices. Many individuals and businesses take advantage of it because of its convenience. However, the exact thing that makes them useful also exposes them to danger. Hackers can use internet connectivity as a point of entry to steal information. Many experts believe that as firms increasingly rely on IoT devices, this will be one of the most serious cyber dangers in the future years.

     
  4. Third Party Exposure -
    Many retailers outsource services like payment processing to third parties. As a result, they frequently feel they are immune from culpability for a third-party breach. In actuality, enlisting the help of a third-party vendor does not absolve them of liability in the event of a data breach. Even if a corporation does not handle personal data directly, such as social security numbers or credit card numbers, a third party can compromise them. Hackers can steal data from third-party vendors via malware, as they did with the Target malware attack in 2013. Even if the assault was carried out by a third party, the company that hired the third party vendor is still liable and legally compelled to notify their clients and regulators if a data breach occurs. Fines and penalties can be substantial, ranging from tens of thousands of dollars to millions of dollars depending on the circumstances.

     
  5. Social Engineering -
    Social engineering assaults take advantage of social interactions to get access to sensitive information. Deception is at the heart of all social engineering attacks. Cyber thieves use deception and manipulation to persuade their victims to take specific activities, such as circumventing security measures or releasing sensitive information. Because the target lets the hacker inside the system, even the strongest cyber security systems can't stop a social engineering attack. Social engineering attacks are on the rise, according to experts, which is why we've included it as a top danger.

     
  6. Patch Management -
    Many cyber-attacks begin with out-of-date software. As a result, failing to keep up with software patches leaves businesses open to a variety of data security breaches. As soon as an attacker discovers a software flaw, they might use it to launch a cyber attack. This trend in cyber security is illustrated by two large-scale cyber attacks that began in May 2018. The attacks took advantage of Eternal Blue, a serious flaw in the Windows operating system. Microsoft had, crucially, provided a patch for the Eternal Blue flaw two months prior. Organizations who did not keep their software up to date were left vulnerable. Millions of dollars were wasted due to a simple software update failure.

     
  7. BYOD (Bring Your Own Device) Policy -
    As part of their Bring Your Own Device (BYOD) policies, several organisations encourage employees to use personal devices at work. This provides a number of advantages, including more flexibility and convenience. It's even been said that it boosts productivity and morale. While BYOD policies have many advantages, they can also expose businesses to major cyber security risks. Hacking personal devices is easier than hacking corporate devices, allowing attackers to infiltrate networks and expose data. To reduce the associated cyber risks, it's critical to review these policies and ensure that employees are properly trained.

     

Conclusion

Security specialists with advanced training are in high demand. Because no firm is immune to cybercrime, IT security must be a key priority for all. Finding the most qualified professionals to lead the way is the first step.
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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Project Integration Management and Its Process Groups!!

Every firm is currently employing the most up-to-date and successful Project Management practises to ensure that its projects and processes are managed consistently throughout the organisation. When it comes to consistency, the emergence of organisational business demands, individual preferences, and team differences will lead to judgments that aren't in the company's long-term best interests. To achieve their long-term strategic goals, the business must ensure that a high level of integration is adopted in Project Management techniques if such challenges develop.

A Guide to Integration Management

Integration Management is the process of delegating authority to the project manager to monitor and coordinate the operations and activities occurring at various levels of the company. The goal of the integration is to ensure that the team works together to complete the project by ensuring that the scope, budget, and timeline are all met. The project manager's ability to execute integration management effectively is recognised as a significant success factor.

A Guide to Integration Management

Understand the meaning of Project Integration Management:

According to the Project Management Institute, the first knowledge group is Project Integration Management. As a project manager, you're responsible for integrating, articulating, and unifying all sub-processes into a unified whole, and that's all there is to project management. To execute a successful project as a project manager, you must be an exceptional integrator. If you are a PMP certified project manager or have attended a project management training session, you should be familiar with the terms used in today's project management. As a project manager, you are aware that you must monitor the activity of the process groups (i.e., Initiation, Planning, Executing, Monitoring and Controlling, and Closing). As Integration is one of the knowledge domains, you must now understand what work you must perform in each process group, from Initiation to Closure, in order to manage integration.
 

Project Integration Management and its Process Groups:

The project integration management knowledge area is further separated into smaller procedures that serve as access points for the Project Manager. Each of these procedures is an important aspect of project management and contributes to project success. These are the procedures:

Project Integration Management and its Process Groups

  1. Initiation Process Group

You create a project charter in the Integration knowledge area at the beginning stage. A project charter is nothing more than a necessary paper/document/authorization letter to begin and plan a project. Let me give you an example of what the project charter might include:

  1. The project's business need – What are the benefits of this initiative for the organisation?
  2. The project's objectives - What is the ultimate goal of this project?
  3. What work do you need to do to meet the customer's target? High-level product and project scope — what work do you need to do to meet the customer's target?
  4. Budget information at a high level — what would the project's high-level cost be?
  5. Schedule information at a high level — Information on the project's completion at a high level.
  6. Risk information at a high level – Project-related opportunities and threats
  7. Acceptance criteria for projects — parameters that determine whether or not a project is considered successful.
  8. Name of the Signatory Authority — The financing authority's name and signature (Maybe customer itself or Project Sponsor)
  9. Name of the project manager – The name of the project manager who has been authorised (if decided earlier)
  10. Project manager's authoritative power - How and to what extent will the project manager be involved in project activities?
  11. Pre-assigned team members — Names of Subject Matter Experts, if previously decided
  12. Names of major stakeholders, such as the financing authority, the client, and so on.

You create the project charter by putting all of the aforementioned material in front of you. You plan your project based on the information provided in the project charter. The information in the project charter serves as the foundation for project planning.
 

  1. Planning Process Group

You plan your project based on the information provided in the project charter. A planning process group is nothing more than an amalgamation of all sub-planning activities such as scope management, cost management, schedule management, quality management, human resource planning, communication planning, risk management, procurement planning, requirement management planning, stakeholder management planning, and so on. To produce final project management planning, you must trigger all sub-processes into a coherent whole as a project manager. This is the most important process group since it has an impact on all knowledge domains. When working on the planning process group as a project manager, you must be more focused.
 

  1. Execution Process Group

Your project planning is complete, and your team will begin work as soon as your planning is authorised and you receive the work authorization letter to begin the project. As scheduled, your team will begin working on the project. After getting approval from the change control board or configuration management, you'll generate the deliverables and, if any changes are discovered, you'll align the baselines (scope baselines, cost performance baselines, and schedule baselines).
 

  1. Monitoring & Controlling Process Group

This process group is where you keep track of your work performance to see if there are any deviations from the original plan. You can compare them to the real baselines set in the planning based on the work performance report. You may observe some variations or deviations and believe that you need to revisit some processes; as a result, you seek project modification. If the approved adjustments are performed in the project to address the deviations, your project management planning and associated documents may need to be revised. This process group functions similarly to a hawk's eye, in that it is responsible for monitoring and controlling project operations throughout the project life cycle.
 

  1. Closing Process Group 

If the customer has successfully received the product or deliverables, acknowledged them, and signed off on them, the project can be considered finished. After the project is completed, you must close the procurement agreement and release the project's resources. To be used in the future, you must complete the archive project process with the assistance of other stakeholders.

 

Importance of Project Integration Management:

Multiple teams and organisational procedures are frequently involved in projects, making them dynamic and complicated. Project integration management is required to guarantee that all aspects are working together toward the same end goal. Here are some of the advantages of this method.
 

  1. Organizes and coordinates the project from start to finish -
    Project integration management functions as an instruction manual for steering the project in the right direction and ensuring that all processes are in sync. As the project progresses, it ensures that the outputs and papers are in order so that the following phase may proceed successfully.

     
  2. Ascertains that everyone is aware of their obligations -
    All stakeholders and team members will have a clear grasp of their roles and duties thanks to project integration management. You'll be able to address questions from teams or stakeholders if there are any points of uncertainty or concerns if you keep a close eye on the project.

     
  3. Keeps the project on schedule -
    Project integration management ensures that projects are completed on time and within budget. It also ensures that the project stays on track with the project management plan in order to achieve the desired outcomes. Project integration management aids in the resolution of disagreements or adjustments while minimising the overall project's impact.

     
  4. Maintains open lines of communication with all parties involved -
    Stakeholders are regularly informed about project progress thanks to integrated project management. It enables you to set up a method for informing stakeholders about project modifications, whether they're authorised or not. It also underlines the significance of attending a wrap-up meeting once the project is concluded to ensure that everything is in order.

     
  5. Makes decisions easier to understand -
    The goals and outcomes of each step in project integration management are clearly specified. You'll have a better understanding of the appropriate course of action for each project phase if you walk through all of the phases. You'll be able to properly express the reasons behind the ideas if you create detailed project documentation.

 

How do you go about putting project integration management into practise?

Project integration management necessitates a mix of technical and leadership abilities. Here are some pointers to help you get started managing project integration.

  1. Oversee integrated project management with the help of a project manager -
    Project managers must have a solid awareness of how each aspect interacts with the others and the project's ultimate impact. Integrated project management entails the project manager keeping track of a process, phase, and output.

     
  2. Use a team communication tool to collaborate -
    Use a communication strategy to identify the channels teams should use to share information, resources, and project status updates to avoid miscommunication or a lack of communication between teams. You won't have to function as an intermediary because teams will be able to speak directly with one another.

     
  3. To save time, use project templates -
    Creating project plans and materials can take a long time, especially when there are so many of them for a single project. Use project templates, either from prior projects or readymade ones, rather than creating them from scratch.

     
  4. Make sure your project teams are well-rounded -
    A strong project team can make all the difference in the success of a project. It's your responsibility to assemble a well-balanced project team and allocate assignments that are appropriate for each team member's talents and experience. Ensure that everyone receives the resources they require and that communication between the various teams is coordinated.

     
  5. Keep meticulous time records -
    Implementing time-tracking software, if you haven't previously, could be advantageous not only for billing but also for future project scheduling. While team calendars provide a high-level perspective of how time will be allocated, tracking the amount of hours spent on assignments provides more detailed information.

 

Conclusion

Project integration management is all about ensuring that all project activities are integrated and that all the pieces are put together to complete the jigsaw. When it comes to project integration management, executing all of the essential processes and their process groups will ensure project success. I hope that this Project Integration Management article has cleared any misconceptions you may have about Project Integration Management. If not, feel free to leave a comment below with any questions you have on the topic.

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8 Expert-Approved Methods for Accurate Project Estimation

In Project Management, there are many different types of project estimation approaches utilised in various fields such as Engineering, IT, Construction, Agriculture, Accounting, and so on. In order to effectively estimate a project, a project manager must align the following six constraints: scope, time, cost, quality, resources, and risk. Overall, project management allows for a wide range of estimation methodologies, but which are the most effective? You'll find the answer in this article.

The following are some of the usual questions that a project manager has at the start of a project:

  • What is the projected amount of work? (scope).
  • How do you calculate the project's cost? (techniques).
  • How long will it take to complete the project? (Schedule).
  • Who will be responsible for the project's execution (resources)?
  • What is the budget (cost) for completing the project?
  • Any intermediate dependencies that could cause the project to be delayed or impacted (Risks).

 

The 3 crucial segments of Project estimation:

  1. Cost estimation
  2. Resource estimation
  3. Effort estimation

Analogous estimation, parametric estimation, Delphi method, 3 Point Estimate, Expert Judgment, Published Data Estimates, Vendor Bid Analysis, Reserve Analysis, Bottom-Up Analysis, and Simulation are just a few of the approaches utilised as project management best practises in estimation. The project needs are usually only hazily known throughout the early phases of a project's life cycle, and there is little information available to estimate the project. The initial estimate is based solely on assumptions and a high-level understanding of the scope; this is referred to as 'Ball-park estimates,' a term frequently employed by project managers.

 

Guide to Project Estimation Techniques:

This is something we must learn right now. To put it another way, estimation is a type of process that aims to find a specific value – an estimate. Project managers can decide critical aspects such as efforts, budget, resources, time, and others using this estimate as a baseline to successfully finish a project using this estimate as a baseline.

Project Estimation Techniques

  1. Top down estimate -
    This isn't a thorough examination. To employ this process, all you need is a basic understanding of previous similar projects, including their costs, resources, efforts, and scope. When the project is large, it is useful since it offers us a hazy overall image of the project. Starting with the project aim or final objective and breaking it down into smaller parts or work packages is the top-down technique. Each of these work packages is examined in greater depth, and then work items are assigned to members of the team.
     
  2. Bottom up estimate -
    Unlike the Top-Down method, this methodology entails a thorough examination of the project in question. As a result, it's employed for initiatives that require a lot of dedication. Bottom-up estimating is a method of determining a total value by determining values for smaller chunks or work packages and then adding them together to get the entire value. This methodology/technique is used in project management to establish a timeline or budget. The schedule is created by adding all of the individual length estimates together, while the budget is created by adding all of the individual cost projections together.
     
  3. Analogous Estimating -
    These Project Estimation Techniques are utilised when a project is started with the support of previous similar projects, resulting in a high level of project correlation. In this scenario, expert opinion and historical data play a significant role. Project estimating is a helpful and crucial skill since it not only helps to gain a wider image of a project, but it also helps to make the work schedule more realistic because major issues are detected early and with enough time to handle them. These Project Estimating Techniques/methodologies make estimation easier and more precise, which is extremely advantageous in the long run.
     
  4. Parametric estimate -
    Independent variables from the project work are used in this technique. Because it is scientific in nature, this technique provides better accuracy in project estimation. Parametric estimating is a cost and time estimation technique. A parametric estimate is created by determining the unit cost or length of the project or activity, as well as the number of units required. Parametric models must be based on or proved using actual project data in order to have any validity. It's difficult to utilise because it necessitates concrete and reliable data, and it's also difficult to adapt to the working environment.
     
  5. Three point estimating -
    Based on limited and limiting information, the three-point project estimating technique is a mathematical technique for calculating an approximate probability distribution indicating the end outcome. This estimation can be done with a normal or triangular distribution. This is referred to as the PERT (Program Evaluation and Review Technique).
     
  6. What if analysis -
    Impact analysis is a project estimation technique that uses assumptions based on a variety of elements such as scope, duration, cost, and resources to analyse the project's prospective results. In most cases, the project estimate is completed by holding estimating workshops with project stakeholders and senior team members who can contribute useful information to the estimation process. The high-level scope is broken down into smaller work packages, components, and activities, with each work package being estimated based on the amount of effort and resources required to fulfil it. The project can be broken down into the tiniest pieces that can be measured. 

    - During the workshop, the following activities are carried out:
    - Break the scope down into the tiniest task packages, components, or activities possible (WBS).
    - Arrange the actions in the order that they will be completed.
    - Determine the amount of effort needed to finish each activity.
    - Determine the estimated resource requirements for each task or activity.
    - Determine the requisitions for completing each activity.
    - Determine the risks and assumptions that may exist.
    - Define the resource and cost estimates for each activity, component, and work package's completion.

  7. Expert Judgement -
    It is not only the most usual and required method of getting the project started, but it is also the most important. Discussing the project with people who have worked on similar projects before can help us figure out how we want to start a project and what the basic prerequisites are to get it started. It also aids estimation by providing a general notion of the type of project, its duration, scope, and budget, among other things. Experienced personnel can also act as guides, pointing us in the right path for a successful project implementation and avoiding common pitfalls.
     
  8. Understanding of the project -
    When a project is provided, the first thing that must be done is to comprehend the project. To correctly assess and implement a project, one must first comprehend all of its nuances. What is the nature of the project? What is the rationale for its implementation? What are the benefits and drawbacks? Etc. This provides us a sense of the big picture, and we can adjust our work schedule accordingly. One can also express his or her opinions on the project's implementation and improvement.

 

What is the significance of project estimation?

Do you recall when you first began the project estimation procedure? You began development when the estimation was done and the project received formal approval. The project started off well, but after a while, you recognised that the development was taking longer than expected. You talk it over with your coworkers, but the tendency persists, and the only answer is that the project was underestimated.

If you're the Project Manager, you're well aware that this isn't the best time in the project, but tragic events do occur. You've undoubtedly wondered to yourself, "Is there anything we can do to avoid such situations in the future?"

 

Who is responsible for estimating projects?

Estimating projects is usually the responsibility of the project team. The project manager may be the owner of the database or documents that include the estimates. It is their responsibility to ensure that all estimates are finalised. However, it is up to the entire team, as well as any subject matter specialists, to assist in the creation and refinement of the estimates. The more knowledgeable experts you bring in, the more likely you are to be able to come up with realistic figures.

 

Capping off 

Estimation is a crucial component of project management success. As a result, you can choose one methodology and combine different tactics to create your own approach. In software development, estimation approaches assist in determining what to expect from the project and how to plan the work. Finding an accurate budget is only one half of the storey. At the same time, project managers and developers are usually most concerned about this. They can supply additional assets to finance your job if you unexpectedly overspend your budget in the context of software development.

Finally, there are always a plethora of free tools and recommendations available to assist you with project management challenges. However, there is an art to using them to effectively estimate your project. As a result, try as many ways as you can and make sensible decisions. In the end, it determines the viability of your entire project.
 

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Top Reasons to Learn R, Hadoop & Python for Success Today

The discipline of Big Data analytics is a safe pick for any professional searching for a rewarding, high-paying career, as Big Data continues to rise in relevance at Software as a Service (SaaS) organisations. If you're thinking about starting or advancing your career in Big Data and data science, we've listed three prominent programming languages you should master to help you get started: R, Hadoop, and Python are three programming languages. 

 

Reasons to learn R

A smart data scientist is a passionate coder who also happens to be a statistician, and there's no better programming language to learn for a statistician than R. R is known as the "golden child" of data science since it is the industry standard among statistical computer languages. It's a popular ability among Big Data analysts, and data scientists who know R are in high demand from companies like Google, Facebook, Bank of America, and the New York Times. R's commercial applications are growing by the minute, and businesses value its versatility. 

Reasons to learn R

If you're still on the fence about learning R, here are a few more reasons why you should learn R:
 

  1. R has a large and active community as well as a resource bank -
    With a large global community of enthusiastic users who routinely participate on discussion forums and attend conferences. Also, around 2000 free libraries are available for your unlimited usage, encompassing statistical areas of finance, cluster analysis, high-performance computing, and more.
     
  2. R is a free and open-source programming language -
    You can freely install, use, update, clone, alter, redistribute, and resell R, unlike SAS or Matlab. This not only saves businesses money, but it also makes upgrades simple, which is ideal for a statistical programming language.
     
  3. R is a scripting language with a lot of power -
    As a result, R is capable of handling huge, complex data collections. R is also the ideal language for running big, resource-intensive simulations on high-performance computer clusters.
     
  4. R is a cross-platform programming language -
    R is a programming language that runs on Windows, Mac OS X, and Linux. It can also import data from programmes such as Microsoft Excel, Microsoft Access, MySQL, SQLite, Oracle, and others.
     
  5. R is a favourite among publishers -
    R is simple to connect with document preparation systems such as LaTeX. As a result, R's statistical output and images can be incorporated in Word documents.
     
  6. R has received a lot of positive feedback -
    R is one of the most popular programming languages in 2017, with an estimated 2 million users.
     
  7. R is a very adaptable and evolving language -
    Many new statistical developments begin as R packages.

 

Reasons to learn Hadoop

Hadoop is another programming language you should master if you want to succeed in the Big Data area. 

Reasons to learn Hadoop

If you're unsure about Hadoop vs. Python, the following information may be useful.
 

  1. Hadoop is a powerful tool -
    Hadoop is capable of storing and processing large amounts of data with ease. Many have been impressed by its sheer power and capacity. Hadoop has "become a must-have for large companies, creating the cornerstone of any flexible future data platforms required in the era of the customer," according to Forrester.
  2. Multinational Corporations are Increasingly Using Hadoop -
    This programming language is used by top firms such as Dell, Amazon Web Services, IBM, Yahoo, Microsoft, Google, eBay, and Oracle.
     
  3. Hadoop, like R is an open-source project -
    As a result, Hadoop is a versatile solution.
     
  4. Hadoop's Future Is Bright -
    Hadoop will be an essential skill set for everyone interested in a career in Big Data at some time.
     
  5. Hadoop is Lucrative -
    Hadoop is one of the most in-demand skills in the Big Data industry, and qualified Hadoop developers may expect to earn good money.
     
  6. Hadoop is adaptable -
    Hadoop is used for predictive analytics, data discovery, and ETL, in addition to warehousing data.
     
  7. Hadoop can help you in a variety of job opportunities -
    Hadoop Architects, Hadoop Developers, Data Scientists, and Hadoop Administrators are some of the jobs available to Hadoop experts.

 

Reasons to learn Python 

Python is another programming language that people who want to work in the Big Data or data science industries are advised to learn. 

Reasons to learn Python 

It is less difficult to learn than R, but it is a high-level programming language that web and gaming developers prefer. 
 

  1. Python is an open-source programming language -
    Python is a free open-source programming language, which appeals to startups and small businesses. Its simplicity appeals to smaller groups as well.
     
  2. Python is less difficult to debug -
    Bugs are every programmer's greatest fear, which is why Python's unique nature makes it ideal for data scientists just getting started. Debugging is easier when there is less code to write. Python-compiled programmes are less prone to bugs than programmes developed in other languages.
     
  3. Python is compatible with the Raspberry Pi -
    If you want to do incredible things with your Raspberry Pi, you'll need to learn Python. Anyone may now use Python to create real-world apps, from beginners to experts.
     
  4. Python is a simple language to learn -
    Python's fundamentals, like those of Java, C, and Perl, are easier to comprehend for newcomers. Because of the language's user-friendly properties including code readability, easy syntax, and ease-of-implementation, a programmer writing in Python writes less code.
     
  5. Python is a popular programming language -
    The Python programming language, like R, is utilised in a wide range of software and industries. Google's search engine, YouTube, DropBox, Reddit, Quora, Disqus, and FriendFeed are all powered by Python. Python is used extensively by NASA, IBM, and Mozilla. You might be able to get a job at one of these big-name organisations if you're a proficient Python specialist.
     
  6. Python is a Powerful Programming Language -
    Python has long been the language of choice for creating mission-critical systems that are also quick.
     
  7. Python is an Object-Oriented Programming Language (OOP) -
    Because you'll only need to master the syntax of the new language if you have a firm understanding of the foundations, you'll be able to migrate to any other object-oriented language.

 

Advantages of learning R

R's success is based on a number of benefits it delivers to both novices and experts. The following are some of the many advantages of R programming:

  1. R's tremendous community support has resulted in a massive library collection. The graphics libraries in R are well-known. The R development environment is supported and enhanced by these libraries. R offers a large number of libraries with a wide range of applications.
  2. R can use web scraping and other methods to collect data from the internet. It also has the ability to cleanse data. The practise of finding and removing/correcting erroneous or faulty records is known as data cleansing. R may also be used for data wrangling, which is the act of turning raw data into a format that can be consumed more easily.
  3. R is an interpretive programming language. It does not require the use of a compiler to convert the code into an executable programme. R, on the other hand, decodes the given code into lower-level calls and precompiled code.
  4. R can also be used for machine learning. R is used by Facebook for a lot of their machine learning research. R is used for sentiment analysis and mood prediction. When it comes to machine learning, the optimum use of R is for research or developing one-off models.
     

Advantages of learning Hadoop

It's a framework for analysing data. Apache Hadoop is a well-known example of a framework that businesses use today to analyse large amounts of data. As a result, Hadoop skills can assist you in forming corporate relationships and providing excellent corporate training. Do you know why it's important for us to learn it? Because it offers numerous benefits and is in high demand.

  1. From a business standpoint, Hadoop serves as a research tool. Businesses can use big data to uncover answers to questions they didn't know how to ask. It also aids research and development efforts.
  2. Within its framework, it has a wide range of uses, from posing novel new questions to data processing and interpretation. It also exposes solutions to common problems through data analysis of all available big data.
  3. To manage large amounts of unstructured data, learn Hadoop. Because there is more big data, the demand for using it for big data analysis and management is growing. Learning can be difficult at first. However, you can readily learn to manage Big data with professional training.
     

Advantages of learning Python

When studying a new language, such as Python, you must be aware of the language's advantages. This will assist you in better understanding how to make the most of the Python programming language.

  1. Until we run the code, Python has no idea what type of variable we're dealing with. During execution, it assigns the data type automatically. The programmer is not required to declare variables or their data types.
  2. Python is an extremely useful programming language. Python's simplicity allows developers to concentrate on the subject at hand. They don't need to spend a lot of time learning the programming language's syntax or behaviour. You write less code and accomplish more.
  3. You must update your code in various languages, such as C/C++, to run the programme on different systems. With Python, however, this is not the case. You only have to write it once and it may be used wherever.

 

Conclusion 

In an increasingly data-driven society, the fields of Big Data and data science will only continue to flourish. Make sure your job grows along with you by enrolling in online courses that will improve your expertise and credibility. The article titled as “Major Reasons you should learn R Programming, Hadoop Programming, and Python Programming” - this elaborated article will help you to get nuances about these three programmes. 

 

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Cyber Security: A Growing Career Choice Due to High Demand

In recent years, cybersecurity has emerged as a crucial sector of job growth, owing to an inflow of people interested in pursuing a career in the field. Even so, some people are still debating whether or not they should plunge into the unknown waters of Cybersecurity as a career. This blog, which addresses the "Top 10 Reasons To Learn Cybersecurity," should undoubtedly assist you in making your decision.
 

Here are Top 10 Reasons to learn Cyber Security:

  1. Fat Pay Cheques -
    'Money makes the world go round,' I believe we can all agree. With tales of new cyber attacks in the news virtually every week, the world has understood the critical relevance of cybersecurity. Faced with cybercrime, businesses and government organisations are looking for professionals who can defend their systems from hackers – and they're willing to pay top dollar and provide extensive training and development. Anyone interested in pursuing a career in cybersecurity should consider the following: 
  1. Cyber security salaries have a higher growth potential than salaries in 90% of other businesses.
  2. Senior security experts can earn significantly more than the average median.
  3. Earnings are determined by merit rather than your gender, age, or race.

Fat Pay cheque

 

  1. A job that is never dull -
    A job in cybersecurity is not and cannot be static and stale due to the uncertain nature of the future. On a regular basis, you will be tested. There will be fresh and unexpected setbacks, as well as incredible and unexpected discoveries. One thing is certain: attackers will continue to develop new exploits on a regular basis, and it is your obligation to come up with innovative and efficient solutions to the problems that arise. You'll be solving new riddles, fighting new monsters, and supporting new activities on a regular basis as a cybersecurity professional. So, if you become bored easily when things become tedious, fear not: Cybersecurity is never dull!

Interesting jobs

 

  1. A mixed bag of industries to select -
    Unlike the majority of the professional world, you are not limited to a single industry as a cybersecurity specialist. Many sectors are undergoing digital transformation. We are in the midst of a digital revolution, thanks to breakthroughs in the fields of IoT, Big Data, Automation, and Cloud Computing. As a result, becoming a cybersecurity expert does not preclude you from working in a hospital, school, government agency, or top-secret military organisation. Almost everyone wants to be secure on the digital front, thus the gates are wide open.

mixed bag of industries to select

 

  1. Innumerable Opportunities -
    There are over a million businesses in the world, spanning across a wide range of sectors and industries, and the majority of them now have one thing in common: the necessity for an internet connection. The information security industry employs approximately 400,000 people, and demand for cyber capabilities is increasing rapidly in all types of businesses and government agencies. So, whether you want to work in sports or fashion, media or emergency services, banking or retail, cyber skills could be your ticket to success. After all, everyone needs someone to protect their critical data.

Innumerable Opportunities

 

  1. Limitless potential for personal growth -
    Cyber attacks are becoming increasingly sophisticated. Cybersecurity specialists are always working to outsmart black hat hackers, fix vulnerabilities, and assess an organization's risk. In an ever-changing sector, combating such attacks requires constant study and thorough investigation. This implies that after you learn cybersecurity and begin working, your knowledge will continue to increase, and your wisdom will continue to sharpen as you gain experience. As a result, the sky's the limit when it comes to personal growth in the cybersecurity business.

 potential for personal growth

 

  1. No mathematics required -
    It's a well-known reality that not everyone has the same enthusiasm for mathematics as other people appear to have. A job in cybersecurity should be exactly up your alley if you've always had a dislike for numbers. Mathematics is not required in cybersecurity courses. Instead, you devote your time to improving abilities such as programming and networking, allowing you to develop a career-specific skill set!

No mathematics required

 

  1. An opportunity to work with secretive agencies -
    It's undeniable that Cybersecurity Professionals have a strong chance of landing jobs with prestigious Fortune 500 businesses like Dell, Accenture, and InfoTech, but the opportunities don't stop there. Experts who demonstrate their worth may be given the opportunity to work with top-secret government agencies and intelligence agencies such as MI6, Mossad, and the National Security Agency (NSA). As a result, if you understand cybersecurity, you could end up as a top-secret agent!

opportunity to work with secretive agencies

 

  1. Travel around the world with Cyber security -
    Cybersecurity may be the ideal job option for those of you who want to travel the world. Thousands of cybersecurity specialists from the United States are striving to protect businesses, government institutions, and ordinary citizens. The surge in cyber-attacks is exceeding the supply of cyber-defenders on a global scale. As a result, there are several chances for cybersecurity professionals and specialists to go internationally to service their in-demand expertise. As a result, if you've ever desired to work in a different country, a career in cybersecurity could be the ticket to success!

Travel around the world with Cyber security

  1. A profession that contributes to the greater good -
    Cybersecurity Companies have repeatedly protected us against a wide range of cyber threats aimed at jeopardising our confidentiality, availability, and integrity. Despite this, the number of online crimes is steadily increasing. Phishing schemes, ransomware and spyware, and DDoS attacks are all affecting millions of people. The cyber threat to businesses, large and small, as well as individuals, is significant and growing. National Crime Agencies, Police Forces, and Company Security Teams are all tackling this threat around the world — but they need additional aid. They are in desperate need of people like you. Learn cybersecurity and join industry if you desire the satisfaction of a lucrative profession and the opportunity to make a meaningful difference.

A profession that contributes to the greater good

 

  1. Cyber Security - A never ending industry -
    Cybersecurity has gradually evolved into a sustainable sector. Cyber attacks are a by-product of the digital revolution, much like air pollution was a by-product of the industrial revolution. With this in mind, and considering the progress we've achieved as a society since the internet's inception, I believe it's a foregone conclusion that cybersecurity as a viable career option is here to stay. With the introduction of issues such as Big Data, Internet of Things, and Cloud Computing, Cybersecurity's permanent status and magnitude of relevance have been thoroughly established. So, if you want to understand cybersecurity in this day and age, it's a great idea.

Cyber Security - A never ending industry

 

4 Reasons to consider cyber security as your career:

Here are the top four reasons to seek a career in cybersecurity.

  1. The capability to solve puzzles -
    When you consider the evolution of technology and its diversity, you can begin to see the various types of puzzles that cybersecurity specialists may solve. When you consider the evolution of technology and its diversity, you can begin to see the various types of puzzles that cybersecurity specialists may solve. Each new wave of technology introduces new dangers. It is the responsibility of security professionals to identify, comprehend, and then assist in the mitigation of these risks. When defending a website hosted in the cloud vs a pacemaker implanted in an old patient, the situation changes dramatically. Each event presents a new puzzle to solve and a new opportunity to rise to the occasion.

     
  2. The job has a real impact -
    Last but not least, defending a pacemaker in an elderly patient is a real scenario. A major recall of pacemakers was recently issued owing to a security risk. The Equifax data breach affected 145 million people in the United States. Cybersecurity is crucial. It has ramifications that go beyond the digital realm into the actual realm. That's both a terrible and exciting proposition, emphasising its significance.Cybersecurity may be the discipline for you if you want to work on IT challenges that have a real-world impact.

     
  3. Unlimited Growth -
    With its ever-expanding breadth, cybersecurity offers limitless prospects for advancement, both professionally and educationally. We teach security as a separate discipline, yet it is intertwined with all other IT skills. A smart cybersecurity expert tries to learn everything he or she can about how technologies and organisations work. A competent cybersecurity expert understands that there is always more to learn. That's a huge opportunity to keep challenged and involved. When security teams first began, they were made up of "jack-of-all-trades" individuals. Specialties in forensics, application security, and incident response were yet to emerge in the discipline. Due to the current demand, security teams have been compelled to scale up and out quickly. Professionals that are willing to take on new challenges will have the opportunity to do so. Whether you want to work your way up to Chief Information Security Officer (CISO) status or work with cutting-edge technologies, the only thing stopping you is your drive. That's an enticing prospect in and of itself, and a compelling reason to pursue a career in cybersecurity.

     
  4. Various Variety -
    The range of technology and scenarios that security professionals must deal with are related to all of the prospects for advancement. It has a cybersecurity component if it uses ones and zeros (and certain roles even extend to physical security!). Security professionals have the opportunity to work directly with teams on technologies and systems that they could never have imagined. The diversity is nearly unlimited, from robots to cars to websites serving millions of visitors. That's a fascinating employment opportunity. You won't use the word "bored" very much. This diversity has an interesting side effect: cybersecurity experts come from a wide range of backgrounds due to the broad skill set required to effectively comprehend modern security threats. In fact, the more diverse your experience, the better a security professional you will be! There is no one-size-fits-all approach to becoming a cybersecurity expert.

 

The benefits of getting a degree in Cyber Security:

There are various advantages to earning a cybersecurity degree, which are outlined below.

  1. Qualified cybersecurity specialists are in high demand right now.
  2. Employees in this field have limitless opportunities for advancement.
  3. Employees can work as consultants either full-time or part-time.
  4. Cybersecurity specialists can earn a lot of money and have great benefits.
  5. Employees will be able to choose from a wide range of job opportunities all over the world.
  6. People in this sector will be able to make a positive difference in their clients' lives and careers.
  7. Cybersecurity specialists will be continually acquiring new skills and tactics to help them defeat cyber attackers, thanks to regular technological breakthroughs.

 

Job Responsibilities: 

  1. Information security for both the corporation and the employees
  2. Preventing the downtime of websites preventing spyware from being installed on workplace systems
  3. Adware has given us the ability to combat possibly virus-infected advertisements.
  4. Security against ransomware
  5. Providing customers with the features and assistance they require to protect themselves from cyber predators.
  6. Hackers must have the knowledge and skills to beat them at their own game.
  7. In the case of a data breach, a plan of action is in place to assist customers in recovering promptly.
  8. Possibilities to assist a company or organisation in improving their rank, credentials, and professional reputation.

 

Types of Cyber security for organizational safety:

As a result, a strategic method to prevent cyber-attacks must be developed. In this post, we'll look at five different sorts of cybersecurity tactics that can help businesses and organisations protect themselves against cyber attacks.

  1. Network Security -
    Network security is a method for protecting computer networks from unauthorised access, targeted attacks, and opportunistic viruses. Because the Internet contains a variety of networks linked to many websites, it is common to see businesses targeted for unwanted intrusion and malevolent intent. Users' activity are also recorded because many websites utilise third-party cookies. This can be beneficial to businesses in terms of expanding their operations, but it also exposes clients to fraud and sexual exploitation. As a result, enterprises must implement a security programme to monitor the internal network and infrastructure in order to combat cyber attacks and viruses linked with the network. Machine learning technology, according to experts, might be used to inform authorities in the event of unusual traffic. Organizations must continue to improve their network security by enacting policies that can protect them from cyber-attacks. For improved network security, experts recommend the following methods:
  1. Extra Logins
  2. Firewalls
  3. Incognito mode
  4. Encryption
  5. Antivirus Programs
  6. Monitored Internet Access
  7. New Passwords

 

  1. Application Security -
    Users become enamoured with a variety of applications, including hardware, software, and devices. However, just like networks, an application can be hacked or infected with malware. Application security thwarts cyber-security breaches by implementing hardware and software methods during the project's development phase. Companies and organisations can discover sensitive data sets and secure them with specialised applications regarding the datasets using an application security network. The following are some of the application security methods:

    - Antivirus Program
    - Encryption Program
    - Firewalls
     
  2. Cloud Security -
    Artificial intelligence is increasingly being used by businesses to improve their enterprises, improve customer experiences, and run more efficiently. It is challenging for companies to retain data in tangible form due to the abundance of data accessible at each stage of organisational setup. Furthermore, it has been found that most of this data is unstructured and obtained from unknown sources, posing a risk to the organization's network. As a result, Amazon Web Services, Microsoft Azure, and Google Cloud provide their customers with a cloud computing platform on which they may store data and monitor it using a security tool. According to reports, on-premises environments are particularly vulnerable to cyber virus. Users will be provided with protected data after integrating the system with a cloud security platform, reducing the risk of a cyber-attack.

     
  3. Internet of Things (IoT) -
    The Internet of Things is thought to be the next technology revolution's tool. According to a forecast by Bain and Company, the IoT market will grow by 520 billion dollars by 2021. IoT provides the user with a variety of important and non-critical equipment, such as appliances, sensors, printers, and wifi-routers, among other routers, through its security network. According to the survey, one of the most significant barriers to deploying IoT in any firm is the security risk. Organizations get insightful analytics, legacy embedded systems, and a secure network by connecting the system with IoT security. 

     
  4. Critical Infrastructure Cyber Security -
    The critical infrastructure cybersecurity technique is used to protect the critical infrastructure systems. They are systems that societies rely greatly on. Electricity grids, water purification, traffic lights, shopping malls, and hospitals are among them. They are not directly tied to a potential cyber breach, but they can serve as a platform for cyber malware to infect the endpoints to which these systems are connected. To lessen the risk of cyber infection or cyber assaults, companies in charge of key infrastructure must gain access to weak areas in order to secure the businesses they are responsible for. Organizations that rely on vital infrastructure must assess the extent of the damage caused by cyber assaults. These firms must have a contingency plan in place to ensure that they do not bear the brunt of cyber-attacks.

 

Skills required in Cyber Security:

  1. Communication skills -
    You'll be working directly with people in various positions and departments as a cybersecurity professional, so you'll need to be able to effectively communicate and explain your discoveries, concerns, and solutions to others. It's critical to be able to talk effectively and simply about cybersecurity strategy and policy, as well as to convey technical knowledge to people with varying levels of technical understanding.

     
  2. Technical Aptitude -
    As the name suggests, cybersecurity is a technology-focused area, and you'll most likely be entrusted with diagnosing, maintaining, and updating information security systems, as well as performing continuous network monitoring and offering real-time security solutions. To conduct the daily responsibilities of a cybersecurity expert, you must be digitally savvy.

     
  3. Problem Solving skills -
    Problem-solving will be a big part of your day-to-day work as a cybersecurity practitioner. Those working in the field must think of new approaches to tackle and solve difficult information security problems in a variety of present and developing technologies and digital environments.

     
  4. Eye for Detail -
    To properly uncover vulnerabilities and hazards and defend an organisation from cyber breaches, you must be extremely alert and detail-oriented. You'll be in charge of constant network monitoring, and you'll need to be able to spot problems immediately and devise real-time security solutions to handle them.

     
  5. Keen learner -
    Cybersecurity, like any other technical sector, is always evolving. Anyone working in the sector will need to be dedicated to staying up to date on best practises and developing industry trends, as well as be constantly learning and self-educating - both on and off the job.

     
  6. Ability to understand hacking -
    To defend an organization's network and infrastructure efficiently, you must first understand how they might be attacked, which is why most cybersecurity experts must learn how to "ethically hack." To properly grasp how a system might be infiltrated and, in turn, design efficient solutions to counter these attacks, you need to have the same abilities as a hacker.

     
  7. Skills for Fundamental Computer Forensics -
    While computer forensics and cybersecurity are two distinct areas, they are intertwined, and a foundation in computer forensics can help you succeed in your cybersecurity career. You'll need a thorough grasp of what happens if your efforts fail and how compromised data is recovered to be able to properly secure organisations' digital assets and avoid security breaches. For this reason, most cybersecurity degree programmes will include a computer forensics component.

     
  8. Knowledge of Security through several platforms -
    You'll need to be familiar with a range of operating systems, computer systems, mobile devices, cloud networks, and wireless networks, as well as stay up with innovations in the field for each of them.

 

Conclusion 

Do you think you'd be interested in a job in cybersecurity? Cybersecurity is a high-demand, fast-growing area with a high demand for qualified individuals, with high median wages, career opportunities across a wide range of industries, and a tough, fast-paced work environment.

If you're interested in safeguarding organisations' digital assets and intelligence from security breaches but aren't sure if you're qualified, conduct some research into the area, find out what typical cybersecurity jobs include, and discover more about the skills required for cybersecurity positions. A comprehensive mix of technical, professional, and functional skills, as well as the specific cybersecurity skills and critical soft skills in demand by companies, will set you apart from the competition. To help you understand what it takes to be a professional in the cybersecurity area, we've compiled a list of top cybersecurity talents.
 

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Risk Assessment in Project Management

Risks are the last thing every project wants to deal with. Projects are created to take advantage of available resources and possibilities, but they also bring with them uncertainty, problems, and risk. As a result, risk management becomes a critical component of project success. The project risk management strategy explains the risk management process, and the risk assessment meeting enables the project team to identify, categorise, prioritise, and mitigate or avoid hazards before they occur. A phase in the risk management process is risk assessment.
 

The project risk management strategy explains the risk management process, and the risk assessment meeting enables the project team to identify, categorise, prioritise, and mitigate or avoid hazards before they occur. A phase in the risk management process is risk assessment. The determination of the quantitative or qualitative value of risk in relation to a specific circumstance and a recognised danger is known as risk assessment. Danger assessment is the process of determining the likelihood of a risk becoming a reality. However, risk assessment is not only the job of the project manager in any project.
 

Typical Risk Assessment Phases

Typical Risk Assessment Phases
Many projects identify and analyse hazards in a haphazard, freewheeling approach. This is frequently deadly to the project's success, since unanticipated hazards develop that have not been analysed or planned for, and must be dealt with on an emergency basis rather than being anticipated and defended against in a planned, measured manner. It is critical to identify, categorise, evaluate, and document potential hazards. Identifying risks and then grouping them into categories, or creating a list of categories and then identifying potential dangers inside each category, is far more effective than looking at each risk individually and randomly.The following are the stages of risk assessment that are typically followed.

 

Identifying the Threat

The project manager will have compiled a list of risks from prior project experiences before diving into risk assessment. These will be examined at the start of the project to identify certain prevalent dangers. Members will be able to predict potential dangers as a result of this information. While there are a variety of approaches for identifying risks, the Crawford Slip method is one of the most often used and effective. Each risk that is recognised and discussed should be articulated in a complete sentence that includes the risk's cause, severity, and impact on the project.

 

Duplicates should be categorised and grouped together

Risk categorization is a method of systematically identifying risks and laying the groundwork for awareness, comprehension, and action. Each project will have its own structure and distinct characteristics. Categorization makes it simple to spot duplicate hazards and serves as a starting point for identifying new ones. The most popular, simple, and effective technique is to post the sticky notes on a huge board with categories that the manager has created. The participants then write their risks in the appropriate category on the board. When they find duplicate dangers, they pile them on top of each other. 

The project manager then leads a discussion with the participants on the risks highlighted in each area. All detected and categorised risks should be documented for all stakeholders' approval.

 

Risks should be classified (Assign Probability and Impact to Each Risk)

• What is the danger – how will I recognise it if it becomes a reality? 

• What is the risk – how will I recognise it if it becomes a reality?

• How likely is it that it will happen — high, medium, or low?

• Does it provide a high, medium, or low level of risk to the project?

• What indications or triggers should we be on the lookout for? 

A risk that is highly likely to occur and has a large impact on the project, on the other hand, will certainly require more attention than a risk that is low in both probability and impact.

 

Determine Your Risk Reaction

The participants will assess the triggers or causes for the hazards with a high risk score, as well as potential responses. 

• Adding the risk to the project plan and scheduling it as a contingency.

• Adding cash to the project to offset any potential cost increases;

• Adding resources to the project to offset any potential deficit in allotted resources; and 

• Developing a plan to mitigate the risk.

 

In a Nutshell: Risk Assessment

The goal of risk analysis is to gain a better knowledge of whether project tasks, outputs, or events will have an impact on the project's success. This requires project managers to use their experience, understanding of the project, and critical thinking to choose the strategies they should pursue, as well as the tactics and activities that will be based on those strategies.
 

A project manager can utilise either qualitative or quantitative analysis to perform risk analysis, based on the identified risk source and its level of detail. Qualitative analysis qualifies probable implications and the likelihood of them occurring using a descriptive collection of qualities. In practise, this approach will require more explanation to support a risk's position in this form of evaluation, despite the fact that asserting hazards is a simple activity.
 

Quantitative analysis, on the other hand, provides a measured level of understanding of risk by determining its effect and likelihood using a numerical set of attributes. Unlike qualitative analysis, this may necessitate a significant amount of time and resources, which is one of the project constraints throughout all phases.
 

As a result, the amount of detail is determined by the breadth of data collected and the depth of the calculations used to present either a single figure or a group of patterns that will explain the impact and probability of the hazards under consideration. Given its descriptive nature of detailing dangers, qualitative analysis often leads to a primary level of quantitative analysis, as the latter presents statistical evidence to the former.
 

The risk evaluation step entails identifying and analysing project hazards, as well as assisting the project team in making decisions about how to address the risks that have been identified. The picture, often known as a Risk Map, depicts the link between impact and probability (or heat map). The output of risk analysis, Risk Map, evaluates values drawn across this chart depending on their risk levels. With the project's risk criteria depicted on the map, the project manager and his or her team may see which risks require more attention.
 

Having an effective risk management framework implementation and risk treatment plans may not always indicate that risk treatment is complete, even if mitigation techniques are established based on identified risks. Instead, it successfully reduces the influence and allows for unambiguous decision-making.
 

The need to respond to risks is crucial, and it entails the following:

  • Recognizing defensive and proactive measures to minimise or mitigate risks,
  • Performing further analysis to reduce insecurity by monitoring and measuring critical metrics
     

Risk assessment in project management provides several advantages, including reduced project risk exposure, accurate and unambiguous decision-making on crucial topics throughout each project phase, and a clearer understanding of hazards associated with specific projects.

 

Risk assessment and project management work well together to ensure project success:

The risk assessment process, which is done on a regular basis during the project timeline, updates and improves the project's risk profile, as indicated in its project risk criteria, risk register, and risk treatment plans.
 

Risk mangement and assessment, like other projects and management systems on the company's continuous improvement activities, should be done on a regular basis because new risks may emerge. Any project, regardless of size or scope, can benefit from a good risk management framework that clarifies the overall approach to risk management.
 

It will specify how much risk is acceptable and who should be involved in conducting a qualitative assessment of known risks. More importantly, the framework assures that, regardless of the number of uncertainties a project may face, there is always a backup plan in place to meet obstacles and opportunities and ensure project success.
 

A Closer Look at Identifying Project Risks

Identifying project risks is a difficult task for project managers and their teams, especially early in the planning phase. The project charter, which serves as a formal statement of intent to begin a project, is a good place to start when it comes to identifying risk sources and variables, as the identification stage usually entails three steps:

 

  • The external context (for example, the impact of the project on its external clients and market)
  • The internal situation (e.g. the key deliverables and controls at strategic, tactical and operational levels),
  • The project stakeholders' requirements and expectations.

 

SWOT analysis, Delphi Techniques, and Stakeholder analysis, to name a few, are important methodologies, but they must be relevant and time-efficient to the project's execution, resource allocation, and decision-making.

One of the primary challenges that Project Managers face nowadays is the lack of a general risk register to refer to when identifying project risk. All project risks should be recorded in the risk register, which is a complete list of all risks detected, their root causes and implications, and the measures taken to address them, for the purposes of managing the execution of project risk management.

 

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Top 10 Powerful Real-World Applications of Machine Learning

We can't deny that the internet plays an important role in our personal and professional lives! We are all reliant on technology nowadays. We used to rely on all manual methods to achieve our goals almost a decade ago, and we never expected that we would be thinking about machine learning applications in this period. We never imagined that we could examine the exact condition of traffic on a road before leaving a location to reach our intended destination. It was difficult to think 10 years ago that we could order food with just a few clicks! In fact, have you ever considered saying "Ok Google" or "Hey Siri" and having someone speak to you and do what you want?

Machine Learning is a hot topic in the tech industry right now, and for good reason: it represents a significant advancement in the way computers learn. Machine Learning Engineers are in high demand, thanks to advances in technology and the development of massive volumes of data, sometimes known as Big Data. An ML Engineer may expect a salary of $719,646 (IND) or $111,490 on average (US). So, let's have a look at some Machine Learning Applications.

 

Top 10 Applications of Machine Learning

Machine Learning aids in the improvement of corporate decisions, productivity, disease detection, weather forecasting, and much more. In essence, a machine learns from its inputs automatically. The following are some of the top machine learning examples:

 

  1. Social Media Platforms -
    Automatic Friend Tagging Suggestions in Facebook or any other social media site is one of the most prevalent Machine Learning applications. Face detection and image recognition are used by Facebook to automatically discover the face of a person that matches its database, and it then advises that we tag that person using DeepFace.

Social Media Platforms

DeepFace, a Facebook Deep Learning project, is in charge of recognising faces and determining who is in the photo. Alt Tags (Alternative Tags) are also provided for photographs that have already been submitted to Facebook. If we look at the alt-tag on the following image on Facebook, we can see that it contains a description.

 

  1. Google Translate -
    Remember how tough it was to converse with people or identify local spots when everything was printed in a different language when you arrived at a new place?

Google Translate

Those days are no longer with us. Google's GNMT (Google Neural Machine Translation) is a Neural Machine Learning system that employs Natural Language Processing to produce the most accurate translation of any sentence or words. It works on thousands of languages and dictionaries. Other approaches such as POS Tagging, NER (Named Entity Recognition), and Chunking are used since the tone of the words is important. It is one of the most popular and widely used Machine Learning applications.

 

  1. Fraud Detection -
    Online credit card fraud is expected to reach $32 billion in 2020, according to experts. That's more than Coca-Cola and JP Morgan Chase together made in profit. That is a cause for concern. One of the most important Machine Learning applications is fraud detection. Due to a multiplicity of payment methods - credit/debit cards, cellphones, various wallets, UPI, and much more – the number of transactions has skyrocketed. At the same time, criminals have honed their skills in spotting loopholes.

Fraud Detection

When a consumer completes a purchase, the Machine Learning model examines their profile in detail, looking for worrisome tendencies. Issues like fraud detection are generally posed as classification problems in Machine Learning.

  1. Self driving cars -
    Here's one of the coolest Machine Learning applications. It's here, and it's already being used. Machine Learning is critical in the development of self-driving cars, and I'm sure you've heard of Audi or Tesla. NVIDIA, a hardware manufacturer, is the market leader and their current Artificial Intelligence is based on Unsupervised Learning Algorithm.

Self driving cars

NVIDIA asserted that their model was not trained to detect people or any other objects. The model employs Deep Learning and gathers data from all of its vehicles and drivers. It makes use of internal and exterior sensors, which are part of the Internet of Things.

 

  1. Google Maps (Traffic Alerts) -
    Now, Google Maps is most likely THE programme we use if we need directions or traffic information. I was driving to another city the other day and chose the freeway, and Maps said to me, "Despite the Heavy Traffic, you are on the Fastest Route." How does it know that, though?

Google Maps

It's a combination of people who are now using the service, historical data collected over time on that route, plus a few tactics learned from other organisations. Everyone who uses Google Maps is contributing their location, average speed, and route, which helps Google collect vast data about traffic, allowing them to predict impending traffic and change your route accordingly.

 

  1. Transportation and Commuting -
    If you've ever used an app to book a taxi, you've already utilised Machine Learning. It gives you a tailored application that is exclusive for you. Based on your History and Patterns, it automatically recognises your location and offers options to go home, office, or any other frequent location.

Transportation and Commuting

It makes a more accurate ETA forecast by layering a Machine Learning algorithm on top of Historic Trip Data. They witnessed a 26 percent increase in accuracy in Delivery and Pickup after implementing Machine Learning.

 

  1. OTT Platforms or Online Video Streaming -
    Netflix is without a doubt the king of the internet streaming world, with over 100 million users. Netflix's meteoric rise has stunned the movie industry, prompting the question, "How on earth could one single website take on Hollywood?" Machine Learning is the answer. Just like Netflix there are many other OTT platforms like Amazon prime video, Disney+ Hotstar, TVF Play and many more.

OTT Platforms

Netflix's algorithm is constantly collecting large amounts of information about users' activities, such as:

  1. Whenever you pause, rewind or fast forward.
  2. On which days do you watch content? (TV Shows on Weekdays and Movies on Weekends).
  3. The time and date you watch shows.
  4. When you take a break and leave the show (and if you ever come back).
  5. The number of ratings given (about 4 million every day), and the number of searches (about 3 million per day).
  6. Scrolling and Browsing Patterns.

And there's a lot more. They collect this information for each of their subscribers and use it in their Recommender System as well as a variety of Machine Learning Applications. That's why their customer retention rate is so high.

 

  1. Dynamic Pricing -
    The challenge of determining the appropriate price for an item or service is an old one in economic theory. There are a plethora of pricing options to choose from, depending on the goal you're pursuing. Everything is dynamically priced, whether it's a movie ticket, a plane ticket, or taxi prices. Artificial intelligence has made it possible for pricing systems to track purchase trends and determine more competitive product prices in recent years.

Dynamic Pricing

For Example - How does Uber figure out how much your ride will cost?

Surge pricing, a machine learning model dubbed "Geosurge," is one of Uber’s most prominent implementations of machine learning. Prepare to pay twice the standard fee if you're running late for a meeting and need to book an Uber in a congested neighbourhood. Even for flights, if you travel over the holiday season, rates are likely to be double what they were previously.

 

  1. Virtual Personal Assistants -
    Virtual Personal Assistants, as the name implies, help people obtain useful information when they ask for it via text or voice. Here are a few of the most important Machine Learning applications:
  • Text to speech conversion
  • Speech to text conversion
  • Natural Language Processing 
  • Speech recognition

Virtual Personal Assistants

Simply ask a simple inquiry such as "What is my schedule for tomorrow?" or "Show my forthcoming flights." To collect information, your personal assistant searches for information or recalls your connected questions. Personal assistants have recently been deployed in Chatbots that are being used in numerous food ordering apps, online training websites, and commuting apps.

 

  1. Product recommendations -
    Let's say you look at an item on Amazon but don't buy it right away. However, the next day, when viewing videos on YouTube, you notice an ad for the same thing. You go to Facebook and see the identical ad there as well. So, how does this take place?

Product recommendations

 

Because Google analyses your search history and proposes adverts based on your search history, this happens. This is one of the most fascinating Machine Learning applications. In reality, Product Recommendations account for 35% of Amazon's revenue.

 

Wrapping Up

So there you have it: some of the most well-known real-world examples of machine learning applications. If these applications have piqued your interest and you're interested in pursuing a career in machine learning, now is the time to enrol in the top machine learning courses, certifications, and training available. These courses will teach you how to use supervised and unsupervised learning techniques in machine learning. 

Career prospects for Machine Learning professionals will undoubtedly grow as the digital world progresses and new technology developments are widely recognised. So begin your adventure into the realm of technology by studying about machine learning. 

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

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Project Cost Management - Know How To Manage Your Budgets

One of the most important factors that drives a project's success is its cost. As a result, it's critical to make sure there's enough money coming in from the right places at the right time to meet all of the project's requirements. As a result, project managers utilise a systematic technique to manage a project's overall cost expenses, which is commonly referred to as Project Cost Management. I will give you a full explanation of what cost management is, how it is done, and the processes involved in it through this article. Throughout the project life cycle, project cost management is the process of estimating, planning, and controlling expenses with the goal of staying within the agreed budget.

In order for a project to be considered successful, it must meet the following criteria:

  • It meets the standards and fulfils the scope.
  • It has a high level of execution quality.
  • It was constructed on time and within budget.

 

Guide to Project Cost Management

The cost of various resources that are necessary to accomplish project operations is a major problem for project cost management. It aids the project manager in anticipating project costs and, as a result, taking preventative measures to avoid overspending. Cost management is a broad term that refers to all aspects of a project's life cycle, from the initial planning stages to completion and handover. The cost is usually assessed during the project planning stage and must be approved by top management before it can be carried out. As the project progresses into the execution phase, all expenses are tracked and carefully recorded in order to stay within the agreed-upon budget. This document is then utilised to compare the variances between the expected and actual expenditures incurred when the project is completed. These findings will be utilised as a guide for creating future cost control plans and budgets.

When it comes to project management costs, there are five different sorts of costs that can be incurred:

  1. Direct Cost - The term "direct costs" refers to expenses that are directly related to the project budget.
  2. Indirect Cost - Indirect costs are expenses that aren't directly related to your project but are shared across several projects.
  3. Fixed Cost - Fixed costs are costs that are constant and do not change over the course of a project's life cycle.
  4. Variable Cost - Variable costs are those that have a strong tendency to fluctuate throughout the course of a project.
  5. Sunk Cost - Sunk costs are expenses that have already been paid but have failed to produce any value for the project's goals.

You will obtain a cost baseline by implementing good project cost management, which will aid you in better managing all of the above-mentioned costs. It will point you in the right direction so you can make smarter decisions and stay within the project budget.
 

Benefits of Cost Management 

The advantages of including Cost Management into your project management framework are numerous. I've selected a handful of the most interesting: 

  1. It helps to obtain control over the overall business cost by controlling the expenses of various processes/activities.
  2. You will be able to precisely forecast future expenses and hence focus your efforts on achieving the expected revenues if you use efficient cost management.
  3. Cost management aids in the predetermination of all project expenses, which are subsequently kept as corporate records.
  4. It keeps the budget in balance by preventing overspending on any one business component.
  5. By rigorously controlling the financial flow, it assists you in prioritising your project duties. As a result, you'll be able to concentrate more on the actions that are genuinely required for the project.
  6. It also cuts down on unnecessary costs because all expenses must be approved by the manager before they are paid.

 

Processes for Project Cost Management

Processes for Project Cost Management

One of the most significant knowledge areas is project cost management. It entails the following four steps:

  1. Plan cost management -
    Plan cost management is the first step in project cost management, and it involves determining how the project's expenses will be estimated, budgeted, managed, monitored, and controlled. For determining the cost resource needs, which include time, material, labour, and equipment, methodologies such as WBS (Work Breakdown Structures) or historical data from similar projects are commonly employed. This procedure provides a preliminary estimate of the number of resources required and illustrates the best method for controlling project expenses throughout the project lifespan. As a result, the plan cost management process is carried out at a predetermined time in the project.
     
  2. Estimate Costs -
    This is the second step in the project cost management plan, and it aids in calculating the cost of the resources needed to complete the project. Because cost is such a crucial factor in project success, you must exercise extreme caution when estimating the entire project cost. This practise is repeated at regular times during the project lifespan. Depending on the quantity of information available, a project manager will utilise a variety of approaches to estimate expenses.
     
  3. Determine Budget -
    Determine Budget is the Knowledge Area's third phase, in which the projected costs of different activities or tasks are added together to provide a cost baseline. All allocated funds that are required for project execution are included in the budget's cost baseline. This budget essentially contains various contingency reserves while keeping management reserves to a minimum. A cost baseline is a pre-approved time-phased budget that serves as the starting point for measuring and tracking project performance and progress. This procedure is carried out at predetermined points during a project.
     
  4. Control costs -
    Control costs is the last step in the project cost management process, and it focuses on determining how far actual costs differ from the anticipated baseline. The project's performance and expenses are tracked against its progress rate using a variety of methods and procedures. Meanwhile, all of these differences are kept track of and compared to the real cost baseline. In this case, the control costs process will be in charge of explaining the rationale for the deviation and assisting the project manager in taking corrective actions to save money. As a result, it can be inferred that a project manager can control the entire project's expenses and close it within the set budget using the control costs approach.

 

Importance of Project Cost Management:

The significance of cost management is self-evident. If you want to build a house, for example, the first thing you need to do is determine a budget. The next stage is to break the high-level budget into expenses for sub-tasks and smaller line items once you have an idea of how much to spend on the project. The budget will affect important decisions like which designer to hire a high-end one who can create and deliver the project from start to finish, or someone who can assist with a few parts and work on a reduced budget? What is the ideal number of stories for a house? What materials should be utilised and of what quality? Without a budget in place, not only will it be difficult to respond to these questions, but it will also be impossible to determine whether you are on track once the project is started. Due to the concurrent execution of several projects, changes in initial assumptions, and the addition of unforeseen costs, the scope of this problem is compounded in large enterprises. This is where cost management comes in handy.

Project managers can achieve the following results by applying effective cost management practises:

  • With stakeholders, establish clear expectations.
  • Control scope creep as a result of the customer's transparency.
  • Track progress and take corrective action as soon as possible.
  • Maintain the project's planned margin, maximise ROI, and prevent losing money.
  • Create data to use as a benchmark for future projects and to keep track of long-term cost changes.

 

Softwares for project cost management

Cost management, like other areas of project management, becomes complicated when there are numerous variables at play. The procedure itself is complex, requiring meticulous attention to detail and a methodical approach. Using project management software can make this process a lot easier.

Consider the following benefits of adopting project cost management software:

  1. Manual errors can be avoided by automating time-consuming quantitative analysis during estimating and measurement.
  2. Rather than one-time interventions, data integration across planning, estimate, budgeting, and control allows for continuous monitoring and swift, proactive responses.
  3. Cost software helps analyse alternative options using scenario forecasts and what-if analysis, making decision-making easier.
  4. Dashboards and other rich user interfaces provide clear and simple reporting.
  5. With project cost software, the difficulty of multicurrency management in projects across multiple geographical locations is simplified.
  6. Many project costing software packages allow for third-party interfaces, allowing data to be gathered and evaluated.
  7. With the availability of performance data from many projects, benchmarking and standardisation are conceivable.

 

6 Tips to Control your Project Cost:

Six tactics for keeping your project budget under control during a period of increased uncertainty before it succumbs to massive cost overruns are outlined below.

  1. Recognize when the situation has altered -
    When estimating expenditures, be realistic and provide room for unexpected adjustments. When conditions change, ensure that all relevant parties are consulted. More essential, plan for the worst-case scenario. As most businesses discovered during the pandemic, this step is critical. Supply prices, resources, labour, financing, product/service shortages, currency exchanges, and other things beyond of your control can all have an impact on your budget. Many necessary materials and services are now significantly more expensive than they were when most projects began prior to COVID-19. Make sure vendors can keep their promises and have a back-up plan in place.Getting feedback from various stakeholders and thoroughly researching suppliers and vendors can go a long way toward creating a more realistic budget that can be met, even when unexpected costs arise. Many project managers have been caught off guard by growing prices, vendors that failed to fulfil advertised deadlines, and other concerns. Prepare for unexpected events so you don't get caught off guard.
     
  2. Identify and manage change with precision -
    Change management is one of the most undervalued aspects of project management. Project managers are aware of the significance of communication and how processes affect stakeholders. Something that appears to be a little modification in any procedure can drastically raise costs and throw budgets off. Change management experts should collaborate with project teams to define, document, and explain specific solutions for dealing with internal and external changes that could cause expenses to exceed budget.
     
  3. Keep stakeholders up to date -
    Once you've identified changes that may influence your projects and stakeholders, it's vital to keep them informed about what's happened, how it affects them and the project's end, and what's being done to stay on budget. If the existing project budget cannot be maintained, stakeholders should understand the fundamental cause of any potential overruns so that they may make educated decisions about how to proceed. Changes in scope are almost certainly required. The key argument here is that uncertainty in a broader sense, such as a pandemic, is unavoidable, leaving other budget-related decisions to be addressed as soon as possible. Customers and other stakeholders may need to decide if the time or conditions are right to continue, defer, or terminate a project.
     
  4. Create KPIs that are relevant -
    Without identifying key performance indicators, you can't properly manage a project budget (KPIs). KPIs can help you figure out how much money has been spent on a project, how far the project's actual budget differs from the original budget, and so on. Here are a few well-known and often utilised project KPIs that are critical to successful project budget management
    Actual cost (AC), sometimes known as actual cost of work performed (ACWP), is a metric that illustrates how much money has been spent on a project thus far.
    The cost variation (CV) reflects if the project's expected cost is higher or lower than the set baseline.
    The approved budget for completed project activities up to a specific time is shown in earned value (EV), also known as budgeted cost of work performed (BCWP).
    The expected cost for project activities planned/scheduled as of the reporting date is known as planned value (PV), also known as budgeted cost of work scheduled (BCWS).
    Return on investment (ROI) measures how profitable a project is and whether the benefits outweigh the expenditures.

    KPIs should be updated when circumstances change to ensure that the right data is recorded and measured for decision-making.
     
  5. Recognize the genuine requirements and desires of stakeholders -
    What stakeholders say they need or want in a project isn't always as straightforward as it appears. On both sides of the table, this might lead to undefined goals and expectations. Assume that the project manager, sponsors, team members, and vendors have a poor understanding of the genuine desires of stakeholders. In that circumstance, it's nearly impossible to figure out what the project's requirements are. Make sure you devote as much time as is necessary to gain a thorough understanding of the expectations of stakeholders. Stakeholder expectations, deliverables, and other requirements ultimately define everything, even the budget. To ensure that project requirements are accurately identified, documented, and confirmed with all stakeholders — and that these are communicated to all parties involved — the first step to an effectively managed project budget is to ensure that project requirements are accurately identified, documented, and confirmed with all stakeholders. Before budgets are set, this critical stage must be done. Many projects have been started with necessities in mind but completed with wants in mind, placing them at danger of financial overruns that leave everyone unhappy.
     
  6. Revisit, re-examine, and re-project -
    A project that is allowed to run without budget monitoring or re-forecasting will fail. Budget supervision is critical in avoiding budgets from spiralling out of control. A ten percent budget overrun is significantly easier to fix than a fifty percent overrun, yet if you don't keep an eye on your budget and reforecast, that ten percent overrun can quickly develop into a fifty percent overrun. With frequent budget reviews, you have a much better chance of keeping a project on track than if you forecast once and forget about it. Because the people who work on a project contribute to its cost, the project's resource utilisation needs to be examined on a regular basis to keep it on track. On a weekly basis, project managers should assess the number of people already working on a project as well as the project's prospective resource requirements. This will ensure that you're making the most of your resources and that you have the correct resources on hand for the remainder of the project. Keep your project budget on pace by examining the resource forecast and current demands on a regular basis. One of the most common causes of project overruns is scope creep. COVID-19 assured that a considerable amount of unscheduled work entered many projects around the world, resulting in a rise in billable hours and out-of-control project budgets. Change orders for work that isn't covered by the project's initial requirements must be properly managed by project managers. Change orders allow the project to receive more funds to cover the cost of additional work, keeping the project on track with its revised budget.

 

Conclusion

As a result, project cost management is one of the most important pillars of project management, and it applies to every industry, including manufacturing, retail, technology, construction, and so on. It aids in the creation of a financial baseline against which project managers may assess the current state of their project costs and, if necessary, realign the project's course.

 

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Top 7 Ethical Hacking Certs: CEH, CISSP, OSCP, GPEN, CISM.

Hackers have become a vital element of the process as IT technologies have advanced at a rapid pace. From time to time, we hear about computer security destroyers and the issues they bring. Furthermore, these hackers cause a slew of damaging issues, making it impossible for other users to safely use the Internet. However, have you heard of ethical hackers?
 

Who is an ethical hacker and how is it different from computer hacking?

They are hackers, to be sure, but they are far more "good guys" than the typical harmful hackers. Individuals who hack into a computer network for the purpose of assessing or evaluating its security rather than for malevolent or criminal purposes are known as ethical hackers. White hat hackers are hackers who employ hacking techniques in a legal and ethical manner. While regular hackers, sometimes known as "black hat hackers," utilise hacking for damaging reasons such as phishing, regular hackers are known as "white hat hackers." The main distinction between an ethical hacker and a computer hacker is this.
 

What is an Ethical Hacking Certifications

This is a credential earned by assessing the security of computer systems through penetration testing. This credential designates a person as a certified ethical hacker. It instructs you on how to think like a hacker. The following are some of the advantages of having an ethical hacking certification:

  • It aids in the understanding of the risks and vulnerabilities that businesses face on a regular basis.
  • It demonstrates the tools of the profession. Your hacking misunderstandings will undoubtedly be dispelled. That means, after completing this certification, you will have a basic understanding of how and what a white hacker's employment entails.
  • You'll also see that hacking entails far more than simply gaining access to another person's Facebook or email accounts.
  • You will learn numerous types of foot-printing, countermeasures, and foot-printing instruments as part of this certification. You can also learn about packet sniffing and how to protect yourself from it.
  • This certification will teach you network scanning and enumeration techniques, as well as countermeasures to network scanning and enumeration. You can also hone your skills in Trojans, Trojan countermeasures, and Trojan analysis if you have an ethical hacker certification.
  • System hacking and hijacking methods, steganography, steganalysis, covering tracks, virus analysis, virus functioning, malware analysis procedure, computer worms, and countermeasures will all be covered.
  • Finally, you'll discover how the exploits progress.

 

Top 7 Ethical Hacking Certifications:

 

  1. Offensive Security Certified Professional -
    OSCP has only been around for roughly ten years, yet it has already earned a reputation for hardness and endurance. It includes both practical instruction and an assessment. The Offensive security certified professional course teaches students how to obtain, modify, and use publicly available exploit code. Sophisticated pen testing examinations and courses, such as wireless, online, and advanced Windows exploitation, are also available through this course. Through a rigorous twenty-four (24) hour certification exam, the OSCP is aimed to demonstrate the students' practical, accurate, precise, and clear understanding of the penetration testing methodology and life-cycle. 

     
  2. GIAC Penetration Tester -
    Another sort of ethical hacking certification is the SANS GPEN. SANS Institute for SysAdmin, Networking, and Security (SANS) offers a variety of courses and certifications, the most popular of which is the GIAC Penetration Tester (GPEN). It mostly provides in-depth technique approaches to verifying from the beginning to the end of the process, including reporting and scoping. Attacking password hashes, advanced password attacks, initial target scanning, exploitation fundamentals, pen-testing foundations, vulnerability scanning, moving files with exploits, penetration testing using the Windows command line and power shell, reconnaissance, and web application attacks are the main objectives to learn under GPEN. To summarise, this certification demonstrates that the holder can recognise vulnerabilities, build and modify exploit code, exploit hosts, and successfully complete tasks on compromised computers across multiple operating systems.

     
  3. Certified Penetration Testing Engineer -
    Penetration testing, data gathering, scanning, enumeration, exploitation, and reporting are among the five essential information security components covered by the CPTE certification. In addition, CPTE teaches you how to hack as well as how to become an ethical hacker. This is a globally recognised cyber security credential that is considered one of the five fundamental cyber security credentials.

     
  4. Certified Penetration Testing Consultant -
    If you want to work as a professional who is in charge of computer security, the CPTC is the qualification for you. This certification will provide you with extensive knowledge of in-depth penetration testing and auditing security controls, such as physical and user security. This certification will educate you how to conduct penetration testing.

     
  5. CREST -
    Many nations recognise and accept the CREST certification exams and courses. The United Kingdom, Europe, Asia, and Australia are among these nations. This test aids in the certification and education of quality pen testers. This is a non-profit organisation that supports the needs of a technical information security marketplace, which includes the provision of regulated and organised services. Within the global technical cyber security segment, CREST assists in the development of high-quality capability, capacity, and consistency. It is also critical that the sector collaborates and shares best practises and knowledge in order to mitigate the danger of a cyber-attack. It's also critical to have progressive initiatives in place that help industry professionals obtain and keep the knowledge they need to perform in this rapidly changing environment. Through its collective research deeds, CREST serves as a focal point for the advancement of best practise and professional development activities.

     
  6. Foundstone Ultimate Hacking -
    The Foundstone Ultimate Hacking certification is the next best thing. This is the only practical penetration training that is currently available. In addition to written tests, Foundstone offers a variety of training alternatives, including forensic and incident response, as well as learning how to hack the Internet of Things, also known as IoT, firmware, RFID, and Bluetooth. You'll learn how hackers and evil-minded malefactors analyse and develop target vectors directed at your critical assets, how to cultivate the policy underlying the search for flaws before they become a security threat, and how to help a malevolent attacker expand their mind-set and recognise the actual risk posed to your organisation in this course. You'll also learn how to use hacker tools and methodology in a controlled and secure environment, as well as how to build your own security toolkit utilising previously tested technologies.

     
  7. Certified Ethical Hacking Certification -
    CEH is one of the most prestigious, well-known, and highly regarded certification programmes available for ethical hackers. A person who has completed this course and received a certificate will be a skilled professional who understands how to look for vulnerabilities and weaknesses in target systems and uses the same knowledge and tools as a malicious hacker, but in a more legitimate and lawful manner, to assess the target system's security posture. From a vendor-neutral stance, the CEH certification validates that persons are certified in the unique network security discipline of Ethical Hacking. It tells the public that the certified individual has met all of the necessary requirements. It also helps to establish ethical hacking as a distinct, self-regulatory profession. This course will assist you in putting yourself in the shoes of a hacker. After all, you have to think like a hacker if you want to be one! You will be able to protect against future attacks as a result of this. 

This course will put you in command of a hands-on environment while following a systematic procedure. You will undoubtedly be exposed to a completely new approach to achieving optimum information security posture in their company. That is, it can be hacked. As previously said, you will be taught the phases of hacking. And the goal of this course is to help you understand ethical hacking techniques that you may employ in a penetration testing or ethical hacking situation. Earning this globally recognised certification entails gaining ethical hacking knowledge and skills, which are in high demand right now.

 

Who can be an ethical hacker?

In the world of white hat hacking, a person with good and sufficient programming and networking skills can go a long way. This course is designed for people who work as forensic or intrusion analysts, security experts, or those who want to work in these fields.

 

What is the role of an ethical hacker?

  • Scanning ports for vulnerabilities is the fundamental task of an ethical hacker.
  • Another important task for ethical hackers is to double-check patch settings and make sure that these installations can't be abused. Hackers can utilise social engineering techniques such as diving-diving or rummaging through bins for charts or passwords that can be used to launch an attack.
  • Intrusion Detection and Prevention systems are avoided by ethical hackers.
  • An ethical hacker can also circumvent and hack wireless encryption, as well as hijack web apps and web servers.
  • Employee fraud, laptop theft, and ethical hacking are all issues that ethical hackers deal with.

 

Conclusion

We live in an era where attacks can come from anywhere at any time, and we never know how capable, well-funded, or persistent the threat will be. These credentials will immerse you in a hacker's mindset, examining not only logical, but also physical security, and uncovering every possible avenue of access to determine an organization's weakest link. From the end user to the secretary to the CEO, misconfigurations, vulnerable times, migrations, and even data left in the dumpster are all common occurrences. 

To summarise, ethical hacking comes in three colours: black, white, and grey. White hackers use their abilities for good, whereas black hackers use them for evil. Ethical hacking is a critical component of network security, and it's one of the most sought-after abilities for any IT security professional. White hackers practise ethical hacking by determining whether a company's network is open, weak, or vulnerable to an outside assault.

Ethical hacking credentials can lead to a variety of opportunities in the professional world. So, what do you have to lose? After you've gained a general understanding of ethical hacking, you'll be able to weigh the benefits and drawbacks. It's now your turn to go exploring. If this is your area of interest, sign up right away to learn more about what's in store for you. Good salary, a high-level job role, and a desirable location — it all adds up! So, go locate your hacker pack and start your journey to success!
 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

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Defining Project Acceptance Criteria Ensures Clear Success.

Acceptance criteria are a formal list that fully narrates user requirements as well as all product scenarios considered. It clearly describes the conditions under which the user requirements are desired, removing any uncertainty about the client's expectations and misunderstandings.

This approach states the client's intent rather than the solution; it is up to the team to understand them, ask for clarification where necessary, and find the solution.

 

What is a project acceptance criteria?

Performance requirements and necessary conditions must be completed before project deliverables are accepted, according to project acceptance standards. They specify the circumstances under which the user will accept the project's final output. They are benchmarks against which we may assess, attain, and demonstrate to our clients that our task is finished.

 

Examples of Project Acceptance criteria

  • The testing of backups and restores has been done successfully.
  • The user acceptability testing (UAT) has been completed, and the Senior User/Project Executive has given his approval.
  • All of the specifications have been legally approved.
  • The Business Continuity Plan (BCP) is in place to be used in the event that the IT system goes down for any reason.
     

What Are the Benefits of a Well-Defined Set of Acceptance Criteria in Your Projects?

  1. Avoid miscommunication on internal projects -
    If the client is internal, developing a clearly defined set of acceptance criteria will allow you to avoid political maneuvering and miscommunication. I had the opportunity to manage an application development project for our organization's testing horizon a few years ago. The web application was created to provide clients and senior management with a wealth of information about the business of this particular horizontal. One of the most difficult aspects of these projects was managing communications with a geographically dispersed team based in different cities' development centers. The majority of the Stakeholders on this project (including myself) volunteered for this project in addition to our regular responsibilities. As a result, many stakeholders found it difficult to contribute to the project while working full-time. As a result, gaining a common, clear, and shared understanding among the stakeholders on several issues in the project, including requirements gathering, was difficult. This was one of the reasons it took us nearly a month to gather a clear set of requirements and acceptance criteria, then get it approved by the project's VP, who was also the project sponsor. Another issue was that the end product was perceived differently by all of the primary stakeholders, including business analysts, testing experts, and testing managers.
     
  2. Set the client’s expectation level -
    Your project's success or failure is determined by the team's ability to meet the clients' documented or perceived acceptance criteria. You will be able to set the client's expectation level and lay the groundwork for their perception of the completed product if you have a clearly defined set of acceptance criteria. Inadequate or missing acceptance criteria can result in low customer satisfaction, missed delivery dates, and cost overruns during development. For example, on the previously mentioned project, one of the acceptance criteria we worked on was whether performance testing was performed to evaluate the SharePoint application against the agreed-upon performance criteria. This would determine whether or not the expected response time was met. Despite a slight increase in the number of users worldwide, the SharePoint application's response times have been drastically reduced in recent years. For example, on the previously mentioned project, one of the acceptance criteria we worked on was whether performance testing was performed to evaluate the SharePoint application against the agreed-upon performance criteria. This would determine whether or not the expected response time was met. Despite a slight increase in the number of users worldwide, the SharePoint application's response times have been drastically reduced in recent years.
     
  3. Make the difference between getting paid and not getting paid on projects where the client pays for deliverables -
    Acceptance criteria are commonly used in projects where the client pays for deliverables or the completion of project phases. You should make sure that the acceptance criteria you develop are relevant to the deliverables, binary (either acceptable or not), measurable or tangible (whenever possible), and tied to payments (whenever appropriate). Clients have been known to refuse to sign off on deliverables for two legitimate reasons: either the project results did not meet their needs, or they were unclear about their needs. You will protect yourself, your project team, and your company by working toward a clearly defined set of acceptance criteria before beginning work on your deliverables. Because the project sponsor is in charge of approving the final product, they are also in charge of approving the acceptance criteria. If the acceptance criteria are met, there should be no reason for the sponsor not to approve and accept the final product.
     

Importance of Acceptance criteria 

Acceptance criteria are an essential component of every user story on which an agile team works. It clearly defines the scope, desired outcomes, and testing criteria for pieces of functionality being worked on by the delivery team. The process of developing and agreeing on acceptance criteria is also a valuable opportunity for developers and product to communicate.
 

What exactly does the Acceptance Criteria Specification entail?

If you want to properly define the described concept, keep in mind that the end product should be as expected by the client and meet the primary requirements. As a result, it must be executable, and in order for this to happen, it must be written in clear and simple language that can be easily translated to manual or automated test cases with no ambiguity about the expected output.
 

How will you document project acceptance criteria?

The acceptance criteria are contained in the project scope statement and the requirements document. Acceptance criteria are frequently regarded as a critical component of contract agreements for external projects.
 

How  to write criteria for Acceptance?

Because this management technique is primarily concerned with the client and the team, it is expected to be written by one of them. However, the client is the one who writes the majority of the time, especially if they have adequate knowledge of software development and writing sustainability criteria. Then a team member reviews it to ensure that it is well-documented and that there are no technical misunderstandings that could impede proper software development. In the event that a client is unfamiliar with criteria writing or software development, they can delegate the task to a technical expert such as a project manager, requirements analyst, or product owner. It would be confusing to write acceptance criteria after development has begun. Before the project begins, requirements are documented and completed, and the team and the client agree on the lowest yield that will meet the client's needs. 
 

Suggestions on writing - 

  1. You must begin by describing achievable and sensible information, just as you would with any process's goal. It should provide the bare minimum of functionality for the product while leaving room for outcome flexibility. User acceptance criteria should not be overestimated or underestimated, but should be set at a reasonable level.
  2. The main points are well detailed and defined so that team members can easily understand what is expected of them and apply the information in the development.
  3. Project acceptance criteria should include a proper perceived measurement that will be used to track the progress of product development.
  4. Every criterion should be agreed upon by the client and the team. The two parties would have different solutions to the same problem, but this approach requires both to agree on a single solution.
  5. In the same way that the project is divided into tasks using the sustainability criteria, you should have a reference checklist to ensure that the user story is covered.
     

The Impact of Acceptance Criteria on the Development Process

It is uncommon for the software development process to proceed as planned from start to finish, especially for complex products. Nonetheless, making numerous changes to the process can result in a significant increase in costs and the consumption of more time than anticipated. However, with the help of the product acceptance criteria, the team is able to move more quickly and fluidly because the project scope and end product are well documented. The team and the client can easily assess the software development progress and look for any errors, which they can easily correct if any exist.

 

Conclusion

Acceptance criteria are a set of conditions that must be met before a project can be considered complete and the client accepts the project deliverables. The project team can benefit from clearly established acceptance criteria in a variety of ways, including:

  • Defining the client's expectations for the final output.
  • Measuring, achieving, and demonstrating that the work is finished to your clients.
  • Obtaining formal signatures from the client on the project's deliverables.
  • Protecting yourself and your business from concerns such as client non-payment.

Internal projects might also benefit from clearly stated acceptance criteria to avoid misinterpretation and political manipulation. Now you know why they're included in the project scope statement and requirement documents, as well as in the contractual agreement with clients.

 

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Most In-Demand and Highest Paying Jobs in Today's Market.

You want to work in a field that you're passionate about. But, if you're like most people, you also want to choose a career path that will bring lucrative chances not just now, but for years (or decades!) to come, which means choosing the highest paying jobs in demand now and will be in demand in the future. In terms of the economy, we are all facing an uncertain future. Many Americans are concerned about their job security these days. The COVID-19 pandemic has shown how vulnerable the labour market may be. Hospitality, retail, and food service businesses were particularly heavily hit by the pandemic, and it may take years for them to recover. Many firms have permanently closed their doors. 

Add in a projected annual employment growth rate of only 0.4 percent between 2019 and 2029, an unknown political landscape, a shift toward a globalised economy, delayed retirement, and nearly 4 million college graduates attempting to enter the workforce each year, and you have the perfect storm of job insecurity. When deciding on a job path, you'll need to think about these difficulties. Whether you're thinking about returning to school for a second degree or you're a recent high school graduate still deciding on a major, make sure you pick a career path that can withstand any economic downturn.

 

The highest paying jobs in demand

The highest paying jobs in demand

 

  1. Genetic Counselor -
    Genetic counselling is a small but intriguing employment field that is primed for fast growth and long-term job stability. Genetic counsellors engage with individuals and families to provide risk assessment, education, and support for inherited illnesses as a result of advances in genomics and genetic testing. Genetic counsellors act as patient advocates, ordering hereditary testing, interpreting results, and counselling patients on how to avoid or manage with particular genetic disorders. When planning a pregnancy and suspecting a genetic problem, people may be directed to genetic counsellors, as well as for further evaluation of inherited health issues in adults.

Genetic Counselor -

Job outlook - Genetic counsellors earn an average of $81,880 per year, with the top 10% earning more than $114,750.
 

  1. Physical Therapist Assistant -
    Physical therapist assistants aid physical therapists in restoring function, improving mobility, relieving and managing pain, and preventing further injury to injured patients and those with disabilities. Many people suffer from medical conditions that impede their capacity to move and carry out functional tasks in their daily lives. Treatment often eliminates the need for surgery and minimises the need for prescription medicines. Individuals may also engage with physical therapist assistants on injury prevention through the establishment of fitness and wellness programmes.

Physical Therapist Assistant

Job outlook - Physical therapist assistants earn an average of $58,790 per year.
 

  1. Information Security Analyst -
    Information security analysts are critical to data security in the United States and around the world. These information security specialists act as gatekeepers, assisting in the protection of data stored in computer systems and networks from malicious cyber attacks, viruses, and data breaches, which are becoming more complex every day. With the frequency and sophistication of cyber attacks and data breaches continuing to climb, information security analyst roles are expected to stay in high demand.

Information Security Analyst

Job outlook - Information security analysts earn a median salary of $99,730 per year, with the top 10% earning more than $158,860 per year.
 

  1. Statistician -
    A statistician is another profession with a promising future. Statisticians are mathematical specialists who collect, analyse, and interpret large amounts of data from a variety of industries to assist businesses, governments, organisations, and other institutions in making decisions. Essentially, they use math methods to uncover trends and relationships in data and then provide advice on critical results. Politics, healthcare, education, finance, public safety, sports, forensics, the environment, and market research are just a few of the fields where statisticians work. Biostatistics, business statistics, environmental statistics, economic statistics, population statistics, geostatistics, forensic statistics, and agricultural statistics are just a few of the specialisations available.

Statistician

Job outlook - The average yearly salary for statisticians is $91,160, although one out of every ten earns more than $146,770.
 

  1. Database Administrator -
    Database administrators are in charge of keeping a company's database systems up to date and ensuring that the data contained on them is available conveniently, swiftly, and securely. This could include optimising data collection, storage, and organisation; backing up systems; identifying problems or inconsistencies in the database and developing solutions; creating new databases and transferring data into them; overseeing user permissions; and designing and implementing security measures, depending on the database. Database administrators must have a basic understanding of databases, how they work, and how to manage and improve them, hence the majority of database administrators have a bachelor's degree in information technology, computer science, or a related discipline.

Database Administrator

Job outlook - The average salary for Data Administrator is $98,860.
 

  1. Occupational Therapy Assistant -
    An occupational therapy assistant provides rehabilitative services to patients who have been injured, have a disability, or are experiencing physical and/or cognitive changes under the direction of an occupational therapist. Occupational therapy assistants aid patients in overcoming the barriers that come with their conditions so that they can regain independence and engage in daily activities. Tasks may include assisting adults in improving their mobility, balance, and coordination through exercise programmes, as well as assisting children with developmental issues in developing their social skills.

Occupational Therapy Assistant

Job outlook - Occupational therapy assistants earn a median yearly pay of $61,510. This group's top ten percent earn more than $82,210 per year.
 

  1. Data Scientist -
    Data scientists design the frameworks that enable businesses to collect, organise, and analyse data, and then use that information to make better business decisions. The position might entail anything from executing data trials to applying statistical models and algorithms, building data products, and refining frameworks to improve efficiency and deliver better business outcomes, depending on the demands of the company. Data science is a highly technical, data-intensive employment that normally requires a bachelor's degree in computer science, engineering, statistics, math, engineering, or a related discipline (and many companies prefer their data scientists to hold an advanced degree).

Data Scientist

Job outlook - The data scientist earn a median yearly pay of $98,230
 

  1. Nurse Practitioner -
    Nurse practitioners have a higher level of medical education and training than registered nurses. These health professionals, like physicians, conduct advanced physical examinations, diagnose medical disorders, and design treatment plans, which may include writing prescriptions. Millions of individuals rely on nurse practitioners as their primary healthcare providers. Pediatrics, neonatology, mental health, gerontology, adult care, women's health, family care, and acute care are just a few of the specialisations available to nurse practitioners. Before applying to a nurse practitioner programme, they must decide on a speciality.

Nurse Practitioner

Job outlook - The growth of this area is predicted to be fueled by increased demand for healthcare services, as well as an ageing baby boomer population and concerns about preventative care. Nurse practitioners earn an average of $109,820 per year.
 

  1. Industrial Engineer -
    Industrial engineers work to improve productivity and efficiency. They assess people, systems, and processes inside a firm, including supply chains, operations, finance, and machinery or equipment, using math, statistics, science, and engineering principles. Their mission is to determine the most efficient method of integrating the systems and processes required to create a product or service. They make certain that businesses keep expenses low, production high, and organisational goals are met (for example, shipping a new product by a certain deadline or optimising shipping and delivery operations).

Industrial Engineer

Job outlook - Industrial Engineer earns an average of $88,950 annually.
 

  1. Physician Assistant -
    Physician assistants, often known as PAs, should anticipate to see a lot of job opportunities. Physician assistants (PAs) are highly trained medical professionals who, like doctors, diagnose medical disorders, design treatment plans, educate patients, and write prescriptions. For the individuals they treat, they are frequently the primary healthcare provider. Primary care, family medicine, geriatrics, emergency medicine, internal medicine, general surgery, paediatrics, and psychiatry are among areas where physician assistants practise.

Physician Assistant

Job outlook - Physician assistants earn an average of $112,260 per year.
 

  1. Public Relations (PR) Manager -
    Whether it's creating buzz around a new product launch, garnering press attention for a new book, or developing favourable brand perception for a corporation, public relations managers (also known as PR managers) endeavour to affect how the public perceives a person, company, or thing. Building and maintaining media contacts, preparing press releases, and doing "damage control" to reduce the impact of negative publicity are all techniques used by PR managers to achieve these objectives. A bachelor's degree in public relations, communications, marketing, or a similar discipline is normally required, however expertise in generating interest and generating favourable news can open doors for people without a degree.

Public Relations (PR) Manager

Job outlook - The maximum annual salary of a PR manager is $118,430.
 

  1. Human resources (HR) Manager -
    Human resources managers (often referred to as HR managers) are in charge of overseeing all aspects of an organization's workforce. HR managers may be in charge of a number of employee-related responsibilities, including recruiting, onboarding and training, and benefit administration, depending on the needs of the firm. HR managers may also be in charge of employee grievances and efforts aimed at changing the corporate culture (like team-building activities or company wellness programs). The majority of HR manager jobs demand a bachelor's degree, but some organisations will select applicants with strong people and logistical skills (HR managers deal with a lot of paperwork!) Even if they don't have a college diploma Keep in mind that you'll need to gain experience and work your way up to a more senior position to earn this kind of money.

Human resources (HR) Manager

Job outlook - The HR Manager earns a median salary of $121,220 per year.
 

  1. Software Developer -
    Whether it's an enterprise software solution for a large organisation or a consumer-facing mobile app used by individuals, software developers (also known as software engineers) design, write, test, and build software. Coding abilities are the most critical thing you'll need to succeed as a software developer. So, for the most part, it doesn't matter if you learn to code through a degree programme, a coding bootcamp, or by teaching yourself; as long as you have the skills—and can demonstrate them during a technical interview—you should be able to find work.

Software Developer

Job outlook - The average yearly salary for a Software Developer is $110,140.
 

  1. Marketing Manager -
    Marketing managers are in charge of spreading the word about a product, service, event, brand, or other item—as well as persuading people that it's worth buying, attending, or following. Some marketing managers are generalists, while others specialise in a specific type of marketing (for example, content marketing, email marketing, social media marketing, e-commerce, or search engine optimization and marketing)—and they lead the charge in developing, implementing, and optimising strategies and campaigns to raise awareness, connect with customers, and drive sales or other conversions. The majority of marketing managers hold a marketing or related degree. You might be a generalist at a smaller company, where you're expected to manage several or all parts of marketing while working on a small team or even by yourself. However, many mid-sized and larger organisations prefer to hire expert marketers, so the more skills you can get in a certain area of marketing, the better your chances of landing a high-paying job.

Marketing Manager

Job outlook - The maximum annual salary of a Marketing Manager is $141,490.
 

  1. Sales Engineer -
    Sales engineers, as their title suggests, perform a hybrid function that combines aspects of both sales and engineering. Sales engineers are generally employed by businesses that offer clients complex technology products or services. Sales engineers collaborate with clients to assess their systems and design tailored solutions to meet their specific requirements. They present and pitch to clients, close and renew deals, install software or equipment, and provide support after the technology is in use. Because sales engineers must have a thorough understanding of science, technology, and engineering principles in order to be effective, candidates must have at least a bachelor's degree in engineering (but some possibilities may demand a master's degree).

Sales Engineer

Job outlook - The Sales Engineer earns a median salary of $108,830 per year.
 

  1. Financial Manager -
    Financial managers are in charge of an organization's finances, as their title suggests. Financial managers might work for a corporation directly or for a consulting firm, where they deal with financial management for the firm's clients. A financial manager may be responsible for a variety of finance-related tasks, depending on the company or client's needs, such as identifying financial weaknesses or risks, developing solutions to eliminate those weaknesses or risks, conducting financial research, creating financial projections and reports, and preparing financial statements; creating financial goals; making recommendations for how the company or client might achieve those goals; and offering cost-cutting, profit-boosting, or market-expansion strategies.

Financial Manager

Job outlook - The maximum salary for a Financial manager is $134,180 per year.
 

  1. Actuary -
    Actuaries are often employed by insurance companies and are in charge of risk assessment. Actuaries use arithmetic, facts, and statistics to evaluate whether or not their company should offer a policy to a potential customer—whether that consumer is an individual or a business—and, if so, what the premium should be. Health, life, vehicle, homeowners, medical malpractice, and workers' compensation insurance, as well as retirement benefits and other assets, are all evaluated by actuaries.

Actuary

Job outlook - The Actuary earns a median salary of $111,030 per year.
 

  1. Information System (IS) Manager -
    Information systems managers (also known as IS managers) are in charge of creating and, yes, managing an organization's information systems. They usually work in a company's information technology (IT) department at a senior level and are responsible for evaluating the company's current technology, staying up to date on available upgrades and best practises, developing an information systems strategy or plan, making recommendations on everything from hardware to software to security, and supervising a team to put their plans and recommendations into action. An IS manager, for example, may analyse the costs and benefits of a new piece of software, present their suggestion to executives or other decision makers, have it implemented quickly across the firm, and monitor its ongoing maintenance and security. IS managers require a thorough understanding of information systems and often hold a bachelor's degree in a technical subject (like computer science or information technology).

Information System (IS) Manager

Job outlook - The Information Systems (IS) manager earns an average salary of $151,150 per year.
 

  1. Technical Writer -
    Whether it's in the form of journal articles, instructional materials, video scripts, tutorials, instruction manuals, or FAQ sites, technical writers take complicated technical ideas and transform them into language that's easy to read and understand. That means they'll need to talk to the individuals who are designing and creating the relevant products or equipment, for example, to get a better understanding of what they're writing about and what kind of documentation is required. Their target audience could be internal colleagues, clients, customers, or the wider public. Degrees in English, communications, or a related discipline are common among technical writers. You'll also need a thorough understanding of computer science, engineering, medicine, or whatever technical topic you're writing about to flourish as a technical writer (in some cases, that might come in the form of a degree or prior work experience in that field).

Technical Writer

Job outlook - The average salary of a Technical writer is $74,650 per year.
 

Conclusion -
As the title suggests “Highest paying jobs in demand” this elaborated article will give you knowledge about different career opportunities and which will be better for your future and for your career path as well. These 19 jobs which are highly in demand right now will also give you a handsome salary package.

 

The company conducts both Instructor-led Classroom training workshops and Instructor-led Live Online Training sessions for learners from across the United States and around the world.

We also provide Corporate Training for enterprise workforce development.

Professional Certification Training:

- PMP Certification Training

- CAPM Certification Training

 

Quality Management Training:

- Lean Six Sigma Yellow Belt (LSSYB) Certification Training Courses

- Lean Six Sigma Green Belt (LSSGB) Certification Training Courses

- Lean Six Sigma Black Belt (LSSBB) Certification Training Courses

 

Scrum Training:

- CSM (Certified ScrumMaster) Certification Training Courses

 

Agile Training:

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DevOps Training:

- DevOps Certification Training Courses

 

Business Analysis Training by iCert Global:

- ECBA (Entry Certificate in Business Analysis) Certification Training Courses

- CCBA (Certificate of Capability in Business Analysis) Certification Training Courses

- CBAP (Certified Business Analysis Professional) Certification Training Courses

 

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Visit us at https://www.icertglobal.com/ for more information about our professional certification training courses or Call Now! on +1-713-287-1187 / +1-713-287-1214 or e-mail us at info {at} icertglobal {dot} com.

Please Contact Us for more information about our professional certification training courses to accelerate your career. Let us know your thoughts in the 'Comments' section below.


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