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Nov

Top 10 Features of Python You Need to Know

iCert Global Other 0 2021-11-24 1198

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?

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:

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.
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.
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.
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.
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.
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.
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#.
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.
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.
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

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#.
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.
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.
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.
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.
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:

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.

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.

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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Nov

20 Essential Skills Every Project Manager Needs

iCert Global Project Management 0 2021-11-23 916

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.

Project managers who master these abilities are more likely to finish projects on time and under budget.

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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!

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Nov

8 Top Data Science Certifications

iCert Global Agile and Scrum 0 2021-11-22 760

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

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.

Introduction to Data Science
Data Collection and Storage
Preparation, Exploration, and Visualization
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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Nov

12 Best Project Management Principles

iCert Global Project Management 0 2021-11-19 1103

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:

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.
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.
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.

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.

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.
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.
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.
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.
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.
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.
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.
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.
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?

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.

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.
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.

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.
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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Nov

10 Traits of Highly Effective Project Managers

iCert Global Project Management 0 2021-11-18 975

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:

Identifying and conveying project goals
Obtaining any project requirements, such as materials, teams, and technology
Creating timetables and schedules for the project's completion
Managing the project's quality, timeliness, and cost
Keeping track of every work completed as part of the project
Stakeholder identification and management
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.

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.

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.
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.
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.
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.
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.
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.
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.
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.
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.
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:

SCOPE - It specifies the customers' wants as well as the explicit and implicit requirements.
TIME - Customers want their projects to be completed by a certain deadline.
QUALITY - It is the standard to which a project is anticipated to be completed.
RESOURCE - This refers to the quantity of money, budget, or resources allocated to the project.
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!

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Nov

11 Key Reasons Why Agile Projects Fails

iCert Global Agile and Scrum 0 2021-11-17 728

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.

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?

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.
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.
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.
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.
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.
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.
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.
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":

No training was provided.
Not everyone who required training received it.
Some/all training was provided, but it was inadequate.

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.
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.
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.

Is there anything that can be done to assist more firms, particularly major enterprises, in effectively transitioning to Agile? Yes, it is correct.

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.
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.
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.
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.
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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Nov

Pros and Cons of Enlisting AI for Cyber Security

iCert Global Other 0 2021-11-16 1176

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.

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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.

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.
Threat-tracking by hand can be costly and time-consuming. As a result, more attacks may go undetected or untreated in a timely manner.
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.
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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Nov

Fundamentals of Project Sustainability

iCert Global Project Management 0 2021-11-15 2379

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:

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.
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.
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.
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.

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Nov

Top Data Science Tools Everyone Should Know

iCert Global Other 0 2021-11-12 847

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.

Continue reading to learn about some of the best Data Science tools on the market!

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.

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.

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 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.

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 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.

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 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.

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).

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.

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 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.

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 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.

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 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.

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

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.

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.

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.

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 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.

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.

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.

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.

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.

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 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.

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 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.

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.

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.

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 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.

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'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.

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.

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.

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, 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.

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.

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.

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 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.

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 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.

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.

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.

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.

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.

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 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.

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.

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.

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 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.

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.

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.

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.

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.

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Nov

IT Security Roles and Responsibilities of Cyber Security Professionals

iCert Global Other 0 2021-11-11 2359

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:

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

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:

Application Security
Data loss prevention
Forensics
Network Security
Security Architecture
Threat Intelligence
Incident response
Vulnerability management

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.

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:

Create barriers to external access to computer systems to protect them.
Recognize faults within systems by looking for unusual activities.
Examine the present state of network security and conduct audits.
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.

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.

There are a few other qualifications available for cyber security experts to consider:

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.
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.
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

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

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.
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.
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.
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.
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.
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.
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.

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Nov

Project Integration Management and Its Process Groups

iCert Global Project Management 0 2021-11-04 547

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.

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:

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:

The project's business need – What are the benefits of this initiative for the organisation?
The project's objectives - What is the ultimate goal of this project?
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?
Budget information at a high level — what would the project's high-level cost be?
Schedule information at a high level — Information on the project's completion at a high level.
Risk information at a high level – Project-related opportunities and threats
Acceptance criteria for projects — parameters that determine whether or not a project is considered successful.
Name of the Signatory Authority — The financing authority's name and signature (Maybe customer itself or Project Sponsor)
Name of the project manager – The name of the project manager who has been authorised (if decided earlier)
Project manager's authoritative power - How and to what extent will the project manager be involved in project activities?
Pre-assigned team members — Names of Subject Matter Experts, if previously decided
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.

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.

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).

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.

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.

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.
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.
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.
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.
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.

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.
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.
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.
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.
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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Nov

8 Successful Project Estimation Techniques

iCert Global Project Management 0 2021-11-03 1447

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:

Cost estimation
Resource estimation
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.

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.
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.
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.
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.
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).
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.
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.
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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Nov

Major Reasons you Should Learn R, Hadoop and Python Programming

iCert Global Other 0 2021-11-02 973

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.

If you're still on the fence about learning R, here are a few more reasons why you should learn R:

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.
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.
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.
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.
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.
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.
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.

If you're unsure about Hadoop vs. Python, the following information may be useful.

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.
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.
Hadoop, like R is an open-source project -
As a result, Hadoop is a versatile solution.
Hadoop's Future Is Bright -
Hadoop will be an essential skill set for everyone interested in a career in Big Data at some time.
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.
Hadoop is adaptable -
Hadoop is used for predictive analytics, data discovery, and ETL, in addition to warehousing data.
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.

It is less difficult to learn than R, but it is a high-level programming language that web and gaming developers prefer.

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.
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.
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.
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.
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.
Python is a Powerful Programming Language -
Python has long been the language of choice for creating mission-critical systems that are also quick.
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:

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.
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.
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.
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.

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.
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.
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.

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.
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.
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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Nov

Top 10 Reasons Why You Should Learn Cyber Security

iCert Global Other 0 2021-11-01 1456

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:

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:

Cyber security salaries have a higher growth potential than salaries in 90% of other businesses.
Senior security experts can earn significantly more than the average median.
Earnings are determined by merit rather than your gender, age, or race.

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!

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.

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.

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.

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!

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!

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!

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.

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.

4 Reasons to consider cyber security as your career:

Here are the top four reasons to seek a career in cybersecurity.

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.
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.
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.
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.

Qualified cybersecurity specialists are in high demand right now.
Employees in this field have limitless opportunities for advancement.
Employees can work as consultants either full-time or part-time.
Cybersecurity specialists can earn a lot of money and have great benefits.
Employees will be able to choose from a wide range of job opportunities all over the world.
People in this sector will be able to make a positive difference in their clients' lives and careers.
Cybersecurity specialists will be continually acquiring new skills and tactics to help them defeat cyber attackers, thanks to regular technological breakthroughs.

Job Responsibilities:

Information security for both the corporation and the employees
Preventing the downtime of websites preventing spyware from being installed on workplace systems
Adware has given us the ability to combat possibly virus-infected advertisements.
Security against ransomware
Providing customers with the features and assistance they require to protect themselves from cyber predators.
Hackers must have the knowledge and skills to beat them at their own game.
In the case of a data breach, a plan of action is in place to assist customers in recovering promptly.
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.

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:

Extra Logins
Firewalls
Incognito mode
Encryption
Antivirus Programs
Monitored Internet Access
New Passwords

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
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.
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.
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:

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.
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.
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.
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.
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.
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.
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.
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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Oct

Risk Assessment in Project Management

iCert Global Project Management 0 2021-10-29 1170

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

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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Oct

Top 10 Real World Machine Learning Applications

iCert Global Emerging Technology 0 2021-10-28 1324

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:

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.

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.

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?

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.

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.

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.

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.

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.

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?

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.

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.

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.

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.

Netflix's algorithm is constantly collecting large amounts of information about users' activities, such as:

Whenever you pause, rewind or fast forward.
On which days do you watch content? (TV Shows on Weekdays and Movies on Weekends).
The time and date you watch shows.
When you take a break and leave the show (and if you ever come back).
The number of ratings given (about 4 million every day), and the number of searches (about 3 million per day).
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.

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.

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.

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

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.

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?

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.

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Oct

Project Cost Management - Know How To Manage Your Budgets

iCert Global Project Management 0 2021-10-27 947

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:

Direct Cost - The term "direct costs" refers to expenses that are directly related to the project budget.
Indirect Cost - Indirect costs are expenses that aren't directly related to your project but are shared across several projects.
Fixed Cost - Fixed costs are costs that are constant and do not change over the course of a project's life cycle.
Variable Cost - Variable costs are those that have a strong tendency to fluctuate throughout the course of a project.
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:

It helps to obtain control over the overall business cost by controlling the expenses of various processes/activities.
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.
Cost management aids in the predetermination of all project expenses, which are subsequently kept as corporate records.
It keeps the budget in balance by preventing overspending on any one business component.
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.
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

One of the most significant knowledge areas is project cost management. It entails the following four steps:

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.
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.
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.
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:

Manual errors can be avoided by automating time-consuming quantitative analysis during estimating and measurement.
Rather than one-time interventions, data integration across planning, estimate, budgeting, and control allows for continuous monitoring and swift, proactive responses.
Cost software helps analyse alternative options using scenario forecasts and what-if analysis, making decision-making easier.
Dashboards and other rich user interfaces provide clear and simple reporting.
With project cost software, the difficulty of multicurrency management in projects across multiple geographical locations is simplified.
Many project costing software packages allow for third-party interfaces, allowing data to be gathered and evaluated.
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.

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.
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.
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.
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.
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.
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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Oct

Top 7 Ethical Hacking Certifications

iCert Global Other 0 2021-10-26 2830

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:

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.
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.
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.
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.
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.
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.
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!

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Oct

The Importance of Defining Project Acceptance Criteria in Your Projects

iCert Global Project Management 0 2021-10-25 3239

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?

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.
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.
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 -

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.
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.
Project acceptance criteria should include a proper perceived measurement that will be used to track the progress of product development.
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.
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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Oct

Most In-Demand and Highest Paying Jobs

iCert Global Other 0 2021-10-22 858

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

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.

Job outlook - Genetic counsellors earn an average of $81,880 per year, with the top 10% earning more than $114,750.

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.

Job outlook - Physical therapist assistants earn an average of $58,790 per year.

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.

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.

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.

Job outlook - The average yearly salary for statisticians is $91,160, although one out of every ten earns more than $146,770.

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.

Job outlook - The average salary for Data Administrator is $98,860.

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.

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.

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).

Job outlook - The data scientist earn a median yearly pay of $98,230

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.

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.

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).

Job outlook - Industrial Engineer earns an average of $88,950 annually.

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.

Job outlook - Physician assistants earn an average of $112,260 per year.

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.

Job outlook - The maximum annual salary of a PR manager is $118,430.

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.

Job outlook - The HR Manager earns a median salary of $121,220 per year.

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.

Job outlook - The average yearly salary for a Software Developer is $110,140.

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.

Job outlook - The maximum annual salary of a Marketing Manager is $141,490.

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).

Job outlook - The Sales Engineer earns a median salary of $108,830 per year.

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.

Job outlook - The maximum salary for a Financial manager is $134,180 per year.

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.

Job outlook - The Actuary earns a median salary of $111,030 per year.

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).

Job outlook - The Information Systems (IS) manager earns an average salary of $151,150 per year.

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).

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.

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DevOps Training:

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

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Oct

How to Handle Project Monitoring and Controlling Processes Perfectly

iCert Global Project Management 0 2021-10-21 1374

An organization's project manager is in charge of planning, organising, and steering a project to completion. Before a project can begin, the management must assess the final outcome and estimate the necessary resources and costs, as well as create a budget, assign work, and set a deadline. The project can only begin after the pre-planning phase has been drawn out and completed.

Nowadays, successfully monitoring and controlling a project is a difficult endeavour. I'm sure each of us uses a variety of approaches to maintain project control. However, without this control, about 70% of the project fails catastrophically. And if the project is done effectively, either you spent more money (i.e., over-budgeted) or you spent more time (i.e., under-budgeted) (i.e., behind schedule). Both of these scenarios are bad for a project manager. So, the bottom line is, what should the project manager do to save the project from this awful situation? Controlling the project's pricing, schedule, and scope is a difficult task. These three project restrictions will inevitably cause issues for your project. Be on the lookout! You're doing fantastic if you can keep these three baselines (scope baselines, schedule baselines, and cost performance baselines) in good shape.

Handle Project Monitoring and Controlling Processes:

As a project manager, you take on a significant amount of responsibility that can feel more daunting than rewarding at times. When successful project monitoring and control are a crucial component of your job responsibilities, however, it's critical to develop and refine project monitoring and control best practises.

Control risk -
Risk can occur at any time and in any part of your project. You can't state as a project manager that you'll solely check risk during the monitoring and controlling stage. Clearly not!!! Risk should be assessed as soon as the project is launched. For the project manager, it is a never-ending task.
Control schedule and control cost -
You should be able to regulate the schedule and expense of your project using Earned Value Management (EVM). You know your CPI (Cost Performance Index) and SPI (Schedule Performance Index), and you can monitor and control the project based on the CPI and SPI results. If your CPI is positive or greater than 1, you are doing well in terms of project costs, and if your SPI is positive or greater than 1, you are doing well in terms of schedule.
Perform quality control -
Before sending the product to the customer, double-check that you are delivering the goods in the quality that the consumer expects. You can use a variety of quality tools or processes to accomplish this, such as Root Cause Analysis, Pareto Chart, Control Chart, Histograms, and so on.
Administer Procurement -
You must keep every relevant stakeholder up to speed on the project status because you are managing a major project with many stakeholders. Specifically, you must update the project progress report with information such as: where are you in the project's development? What are the projections for your project?
Report Performance -
You must keep every relevant stakeholder up to speed on the project status because you are managing a major project with many stakeholders. Specifically, you must update the project progress report with information such as: where are you in the project's development? What are the projections for your project?
Verify scope and control scope -
In most cases, scope verification happens after quality control. When quality control approves your project deliverable, it will be moved to the verify scope step. Your customer will check the scope to see if the deliverable meets all of the requirements, and if it does, the deliverable will be moved to the customer's site. If not, the deliverable will have to be revisited throughout the production stage. You should maintain scope control throughout the project life cycle as a project manager. It's not as if you start controlling the product once the deliverable is complete; it's an ongoing process. You should take extra precautions to ensure that the scope requirement does not escape your grasp.
Perform integrated change control & Monitor and Control Project work -
ollowing project planning, you must begin working on the project in accordance with the plan, and it is now imperative that you double-check that you are working in the same manner as intended. Because you planned your project based on the information you had at the time (Rolling Wave Planning), it's inevitable that it will alter as work goes (which is why planning is iterative and gradually elaborated). Good project managers usually try to avoid modifications and, if they do occur, govern them efficiently by balancing the baselines. Discuss your options with the consultants, other SMEs, senior management, or any other project stakeholders, including your customer. Change is necessary, but it is not always essential. Change requests that have nothing to do with the project's requirements should be ignored.
Find out the exceptions -
Finding any deviations from established processes would be simple with the right monitoring tools. However, relying too heavily on these technologies might lead to blind spots, allowing potential dangers and concerns to go unnoticed. So be on the alert for any problems and have a solid contingency plan in place, because despite thorough monitoring and control, unexpected events can occur.
Try to be flexible -
It's pointless to monitor a project if you're unwilling to make changes to the original goals. These modifications may be minor or, depending on the circumstances, may require you to re-plan the entire project. The fundamental goal in either scenario is to complete the project and the duties as efficiently as feasible.
Use correct tools -
Using project management software is the most effective way to apply project monitoring and control techniques. The ideal way to go is to use Earned Value Analysis (EVA), Project Evaluation and Review Technique (PERT), Gantt Charts, and other tools early on in the project. Tools for project collaboration and secure communications can also help with project monitoring and control.
Make the project more engaging -
With visual clues, better engagement, and collaboration, tools may make the tedious process of monitoring and regulating more appealing. The use of Kanban can aid in project management efficiency. The emphasis on visual involvement can help both the workers and the project manager participate more actively. Because, let's face it, who has time to read long, cluttered reports?
Setup project parameters -
icromanaging every facet of a project is difficult, if not impossible. What you require is a method for determining when you must intervene. Setting up monitoring milestones with tools like CPM or Gantt Charts can help you set up goalposts from which you can track the project's overall development.
Make budgets and forecast -
For milestone management and project monitoring, project forecasting and budgeting are useful tools. You can use forecasting to answer a variety of key issues, such as when the best time is to complete a project, how much a specific activity will cost, and how long it will take. Furthermore, with proper forecasting, you'll know ahead of time what kind of adjustments you'll need to make in terms of human resources, optimal workstations, and so on during a project. Going into a project blind might leave your project insecure and without a context to monitor and measure its progress against. You'll be able to prioritise key actions if you have precisely defined deliverables and know how much slake time you'll have.

Why is it so important to control and monitor projects?

When it comes to project management, any competent project manager will tell you that fulfilling deadlines isn't the only factor to consider. It's just as crucial how you meet deadlines as it is how you achieve them. Monitoring and controlling are the most effective tools for assessing real performance and making informed decisions to guarantee quality standards are met. Managers can take decisive and corrective action with updated information to avoid a crisis and be aware of any potential opportunity that may arise during the work process. This is accomplished by providing project managers with status updates and overseeing project operations, allowing them to achieve a balance between time, cost, quality, and budget.

Conclusion

In an ideal world, all of your projects would run smoothly. Everything would be finished on schedule and on budget. In reality, however, employees may miss deadlines due to personal emergencies, external stakeholders may withdraw without explanation, and so on. You can discover and minimise concerns that could affect the project scope, quality, timetable, or budget by using project monitoring and assessment. After that, you can utilise the information to improve processes for future projects. Monitoring and controlling project work entails comparing actual project performance to project management activities that have been planned. It can primarily be seen as a control function that occurs at all stages of a project, from inception to completion. Monitoring and controlling project activities is a relatively simple undertaking for small projects. Project Management, on the other hand, is more stringently necessary for major projects, where the project manager must make a systematic effort to monitor and regulate how the processes are progressing. In huge projects, he or she will not be personally involved in project activities.

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Oct

10 Reasons Why Agile Scrum Should Be Your Next Career Move

iCert Global Agile and Scrum 0 2021-10-20 1179

Have you heard of Agile Scrum before? If you're in the IT industry, you've probably heard about it. Scrum is a technique used in the agile methodology. This concept aids people in figuring out how to adapt precisely and rapidly to changes and threats that are unavoidable. Agile is a software development process that has the potential to improve project management in a variety of industries and enterprises. People are dealing with their projects more swiftly and precisely since the introduction of this methodology and its subset scrum. This is a tried-and-true process that many sectors throughout the world use to deliver high-quality products. It is used in a variety of projects and teams.

Why is it important to learn Agile Scrum?

The agile scrum methodology has a number of advantages. First, because each set of goals must be fulfilled inside each sprint's time constraint, it drives faster product development. It also necessitates frequent planning and goal-setting, which assists the scrum team in focusing on the current sprint's goals and increasing productivity.

Why should you learn Agile Scrum?

Agile -
Agile fosters flexibility, adaptation, and experimentation. Look no further if you enjoy working in an environment where you are pushed to push yourself to new heights and find better ways to do things. Agile project management cuts down traditional project management barriers and allows you to explore new ideas.
Scrum -
Scrum is a framework for facilitating teamwork. Scrum encourages teams to learn via experiences, self-organize while working on an issue, and reflect on their victories and losses to continuously improve, much like a rugby team (from which it gets its name).

Here are 10 reasons why you should choose Agile and Scrum for your career:

Risk & Efficiency -
Working with a professional that understands Agile Scrum makes it more pleasurable for the team. It increases the work's efficiency and quality. The expert removes roadblocks and assists his team in completing the assignment while also protecting them from external threats. Agile scrum enables you to recognise and respond to risks more quickly. The professional and his team analyse the project's units, which decreases the risks of the project failing.
Multiple roles -
There are a plethora of agile approaches and frameworks on the market. Scrum, Lean, Kanban, and XP are a few examples. Each of these certificates has its own set of responsibilities, and organisations using these frameworks require all of these responsibilities in order to implement the framework and make the process more streamlined and agile. Each role has its own set of obligations and obstacles to overcome. Organizations are eager to employ agile approaches, hence many roles in this domain are being created. Professionals might select a position that will help them advance in their careers. Keep in mind that not every position will have the same flavour.
Demand -
The Agile Scrum certification is in high demand right now. Scrum is also on the list of most promising careers. The PMI ACP certification is one of the top eight Agile qualifications. Customer expectations, diverse responsibilities, a dynamic market, and other variables all influence the need for Agile skill sets. Agile is in great demand, but supply is limited, making it the most attractive job option right now. This is an excellent opportunity to make a change and obtain a certification to advance your profession.
Niche -
Despite the fact that agile has been around for a long time. However, finding people with solid knowledge and hands-on experience in the market has become increasingly difficult. The supply is insufficient to meet the demand. To assist professionals, many organisations and universities have begun to offer agile certificates. Certifications allow professionals to demonstrate their abilities. Because good professionals are in short supply. This is the ideal time to make a change and start a career in it. Agile scrum has witnessed a significant increase in the market over the last few years, and it is well known that specialised skills are always rewarded better.
Shorter Time -
In the past, creating a product required a complete cycle. Designing, developing, testing, and finally launching the product were all part of the cycle. Despite the fact that the product had a client requirement, it was either out-of-date or fully obsolete by the end of the cycle. In comparison to the past, the market is currently speedier. It is progressing at a faster rate, and product delivery is planned to be quick and in small increments. To fulfil demand and make products shippable, the product cycle is reduced. To ensure that high-quality items are given to clients, each unit is tested and inspected. To make everything go smoothly and quickly, it is now required to have a team with an agile skill set. This only proves that the demand for Agile Scrum certification will continue to rise.
Control -
It gives the team and professionals complete control over project performance. Professionals with hands-on knowledge can make improvements to goods by modifying priorities at regular intervals along the product cycle. They can even embrace market shifts and offer customers new products. Agile Scrum certification allows you to develop better projects in a methodical manner while saving time and money.
Transparency -
Agile scrum gives a professional entire authority over a project and allows them to know everything about it. This openness aids them in better understanding the project and identifying problems. When they grasp the challenges in a project, they can more easily solve them, allowing the team to complete the project on time. As a result, if you're certified in this course, you'll be able to simplify the project and complete it on time and to a high standard. Transparency also lowers confusion and allows the team to operate more efficiently and on schedule.
Customer satisfaction -
Customers are critical to the success of any business. Companies strive to improve customer satisfaction and keep their consumers satisfied. This is achievable with Agile because it allows you to complete the project on schedule while maintaining high quality. As a result, businesses are looking for people that can assist them in increasing transparency and delivering products more quickly.
Market -
The market is currently very lively. It moves at a very fast pace. What's important today could not be important tomorrow. Every day, goals and requirements shift, and the process of adapting to these shifts is time-consuming and exhausting, making it difficult for traditional methods to cope. This is why the industry is shifting toward agile, and businesses are in desperate need of agile expertise. Because there are so many agile certifications. Professionals can select the option that they believe is best for them.
Advantage of starting early -
If you're an early starter of any skill, there are a few crucial advantages. Don't you think so? People who work in the sector will have a lot of knowledge and experience with agile certifications. They would also be aware of which courses are in high demand. After a few years of experience, you may be able to go into coaching. Agile certifications are becoming more popular, and companies are looking for employees with agile skills. Professionals can take advantage of this need to advance in their careers.

Future of Agile Scrum

Our daily lives appear to revolve entirely around software; we use software to check the weather outside, we use GPS navigators while driving to unfamiliar places, and we utilise software like Google Duo, Skype, and imo to communicate with others. As a result, we look to software for even the smallest of tasks. Or, to put it another way, we have a closer relationship with our technological devices than we do with our loved ones.

The software business is expanding at a breakneck pace, and only a small percentage of the population understands the technical aspects of producing high-quality software. The introduction of agile approach is regarded as a renaissance in software development, however the influence will be limited due to a scarcity of experienced experts. The demand for scrum masters is growing by the day, and there is a scarcity of trained scrum masters who can execute scrum in the sector. However, there are just a few people who are reasonably proficient, have extensive understanding of this function, and can put it into practise. Companies such as Dell, IBM, HP, and other major multinational corporations (MNCs) are frantically looking for Scrum masters. Furthermore, according to payscale.com, the typical income for Agile and Scrum workers is between $107,000 and $126,000.

Salary Prospects

Agile and Scrum expertise are sought after by Fortune 500 companies such as IBM, Dell, HP, and other major corporations. As a result, with agile and scrum as a pro, your salary might be up to $ 126,000.

Wrapping up

Agile Scrum certification is in high demand right now. Many people are taking advantage of the market's scarcity of specialists with good hands-on expertise and understanding. Organizations are eager to hire Agile scrum certified individuals in order to shorten the product cycle and increase quality. Professional pay scales are likewise very high. So, what do you have to lose? Get started immediately and earn your Agile Scrum certification to advance your career.

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Oct

Advantages and Disadvantages of Artificial Intelligence

iCert Global Emerging Technology 0 2021-10-19 8183

Artificial intelligence (AI) refers to intelligence demonstrated by machines rather than natural intelligence produced by animals such as humans. Leading AI textbooks define AI as the study of "intelligent agents," or systems that understand their surroundings and take actions that increase their chances of attaining their objectives. However, prominent AI researchers reject this definition, which uses the term "artificial intelligence" to denote robots that simulate "cognitive" functions that humans connect with the human mind, such as "learning" and "problem solving."

Advanced web search engines (e.g. Google), recommendation systems (e.g. YouTube, Amazon, and Netflix), understanding human speech (e.g. Siri or Alexa), self-driving cars (e.g. Tesla), automated decision-making, and competing at the highest level in strategic game systems are all examples of AI applications (such as chess and Go). The AI effect is a phenomenon that occurs as machines grow more proficient and jobs believed to require "intelligence" are often eliminated from the concept of AI. Optical character recognition, for example, is typically left out of AI discussions despite the fact that it has become a commonplace technique.

Advantages and Disadvantages of Artificial Intelligence:

Listing down some of the benefits and drawbacks of artificial intelligence. Every new technology or discovery will include both, but we as humans must be mindful of this and use the invention's positive aspects to improve the world. Artificial intelligence (AI) has a lot of potential benefits. The challenge for humans is to keep the "rising of the robots" under control. Some argue that if artificial intelligence falls into the wrong hands, it could destroy human civilization. However, none of the AI applications developed at that size are capable of destroying or enslaving humanity.

Advantages of Artificial Intelligence:

ImageSource- https://instrumentationtools.com/advantages-and-disadvantages-of-network-topologies/

Artificial intelligence applications offer huge benefits and have the potential to disrupt any industry. Let's take a look at a few of them. Technology is constantly improving, and it has the potential to become more intelligent than ever before. While it is impossible to foresee the future of AI, it will undoubtedly continue to benefit businesses and end-users in their daily lives.

Available 24*7 -
Without breaks, an average human will labour for 4–6 hours every day. Humans are created in such a way that they can take time off to replenish themselves and prepare for a new day at work, and they even have weekly off days to keep their professional and home lives separate. But, unlike humans, we can use AI to make machines work 24 hours a day, seven days a week with no breaks, and they don't get bored.
Reduction in Human error -
Because humans make mistakes from time to time, the term "human error" was coined. Computers, on the other hand, do not make these errors if they are correctly programmed. Artificial intelligence makes choices based on previously obtained data and a set of algorithms. As a result, errors are decreased, and the prospect of achieving better precision and accuracy is increased.
Daily Applications -
Apple's Siri, Microsoft's Cortana, and Google's OK Google are all commonplace in our daily lives, whether it's for finding a location, taking a selfie, making a phone call, or responding to an email.
Faster Decisions -
We can make computers make decisions and carry out activities faster than humans by combining AI with other technologies. While a human will consider numerous aspects, both emotionally and practically, before making a decision, an AI-powered machine will focus on what it has been designed to do and will produce results more quickly.
Digital Assistance -
Digital assistants are used by some of the most modern enterprises to engage with people, reducing the requirement for human personnel. Many websites also use digital assistants to supply things that users seek. We can discuss what we're searching for with them. Some chatbots are created in such a way that it's difficult to tell whether we're conversing with a machine or a human.
Take risks instead of Humans -
One of the most significant advantages of artificial intelligence is this. By constructing an AI Robot that can do the risky tasks for us, we can transcend many of humanity's risky limits. It can be utilised effectively in every type of natural or man-made disaster, whether it is going to Mars, defusing a bomb, exploring the deepest regions of the oceans, mining for coal and oil.
Helping in Repetitive Jobs -
We will be doing a lot of repetitive job in our day-to-day work, such as writing thank-you emails, double-checking documents for flaws, and so on. We can use artificial intelligence to efficiently automate these monotonous operations and even remove "boring" duties from humans' schedules, allowing them to be more creative.
New Inventions -
In practically every domain, AI has aided in the development of innovative inventions to solve complicated challenges. Using advanced AI-based technology, a recent invention has assisted doctors in predicting early stages of breast cancer in women.
AI Machines don’t have emotions -
Machines don't have feelings (unless you're Chitti, the robot that, to be honest, bewildered me with its obsession with the female protagonist Sana). This one feature of AI-enabled devices can help you handle consumer complaints more consistently. Consider a functionality in your software that suddenly stops working, leading your users to be inconvenienced. They will undoubtedly submit tickets, contact your chat support, and send emails. Rather than waiting for an email or a ticket to be resolved, many individuals use 'live chat.' Imagine having a human on the other end who is completely aware of the issues and is working diligently to handle hundreds of concerns. That person will eventually snap. There's a good chance that conversations will devolve into a shambles in terms of linguistic sensitivity.

Because machines don't feel pain, it's one of the safest ways to address such situations. They will just look at the words in the query, compare them to the pre-loaded data, and provide relevant answers.

Disadvantages of Artificial Intelligence:

ImageSource- https://www.cyclonis.com/what-advantages-disadvantages-using-password-manager/

High costs of implementation-
Because AI is evolving on a daily basis, hardware and software must be upgraded on a regular basis to keep up with the latest requirements. Machines necessitate repair and maintenance, both of which incur significant expenditures. Because they are extremely complicated machinery, their construction necessitates exorbitant prices.
Unemployment -
Human interference is becoming less as AI replaces the majority of repetitive tasks and other tasks with robots, causing a major problem in employment standards. Every company is attempting to replace minimum-qualified employees with AI robots that can perform similar tasks more efficiently. Unemployment is the main reason for the GDP stagnating or not expanding at the projected rate. People lack the necessary abilities that are in high demand. As a result, there is a significant demand and supply gap.
Lack of creativity -
AIs aren't designed to do creative tasks. As a result, it should be abundantly evident that AIs lack originality and imagination. Even if they can assist you in inventing and constructing something unique, they will never be able to match the human brain. Their power to be innovative is restricted by the person who programmes and instructs them. Human brains have a high emotional quotient and are extremely sensitive. Simply put, AIs can become skilled robots, but they will never have the cognitive capacities of a human brain. The reason for this is that whereas skills can be taught and mastered, talents are innate and can only be honed.
Not Improving with Experience -
The ability of human brain strength to develop with age and experience is one of the most astonishing aspects of the species. The same cannot be true of AIs, as they are machines that do not improve with experience and instead begin to wear out over time. Machines are unable to decide what is good or wrong because they lack the ability to comprehend ethical or legal concepts. They are programmed for specific situations and so are unable to make decisions when confronted with an unknown (non-programmed for) situation.
AI can’t replace Humans -
Machines, without a doubt, perform far more efficiently than humans. Even still, replacing humans with AIs is practically impossible, at least in the near future, because human intelligence is a natural gift that cannot be built into a computer. So, no matter how intelligent a machine becomes, it will never be able to replace a human. We may be horrified by the prospect of being replaced by machines, but it is still a long way off. Machines are logical, yet they lack emotions and moral ideals. They lack the ability to form bonds with other people, which is a necessary skill for leading a group of people.
No ethics -
Morality and ethics are crucial human characteristics that can be challenging to include into artificial intelligence. The rapid advancement of AI has sparked fears that it will one day develop uncontrollably and finally wipe mankind out. The AI singularity is the term used to describe this point in time.
No emotions -
While this is one of the major advantages of artificial intelligence, it is also a disadvantage. Because machines lack feelings and sympathy, they are unable to form bonds with humans. While machine learning and natural language processing have aided firms in setting up initial customer care through bot-enabled chat platforms, a human of flesh and blood must still intervene at some point to settle an ongoing issue. If all of it is left to bots, consumer experience will suffer all around the world. The initial touch basing can be done by bots. It's fantastic if a customer's query can be answered using pre-fed guide documents. If this is not the case, the bot will raise a ticket for a human to manually follow up on. Because you do not emotionally drive your pain spot, a bot may not be able to understand it. To get things done, you'll always need a human ear.

Artificial Intelligence - 4 important parts of development

It is critical that AI has enabled robots to understand vocal commands, differentiate images and texts, and do much more than a person can. Consider Alexa from Amazon, Siri from Apple, or Hello Google from Google. These are typical instances of artificial intelligence that understands and executes vocal commands with ease. Given the rate at which machine learning, deep learning, NLP, predictive AI, and other related concepts are advancing, it isn't a pipe dream to believe that one day machines would walk among us, effortlessly reproducing all human actions.

Current AI systems are capable of doing complex calculations at a high rate. They have the ability to process large data sets and generate precise predictions. In terms of development or refinement, artificial intelligence is divided into four parts:

Theory of Mind -
This category contains machine learning that attempts to reproduce the entire physical world, including humans, animals, and objects, as well as everything else that can think and feel.
Limited Memory -
This type of equipment has the ability to look back in time. Self-driving automobiles, for example, are capable of observing the speed and direction of other vehicles. These observations are incorporated into its pre-programmed world representation. These bits of knowledge, on the other hand, are transient rather than permanent.
Self-Awareness -
This is the type in which machines will be equipped with technologies that allow them to be self-aware. This stage is also a continuation of the Theory of Mind stage, in which machines will be aware of themselves for a reason. This will raise the intellect of machines to a whole new level. While AI researchers have a long way to go before self-aware machines are in use, present AI scientists are concentrating on improving these computers' machine learning abilities. The ability of machines to respond more like humans is improving every day.
Reactive Machines -
These are the machines that have no memories or previous experiences stored in them. Its nature is reactive,' meaning it reacts to the current situation. In the late 1990s, IBM's Deep Blue chess computer defeated international grandmaster Garry Kasparov six times in a row. Deep Blue was able to recognise chess board pieces and understand how they moved. Its superior intelligence allows it to guess all of the opponent's possible movements far faster than a human opponent. As a result, it was able to compute the best moves for each scenario.

Artificial Intelligence mostly used in -

AI is employed in a number of technologies and can be beneficial in any process where human judgement, reasoning, or decision-making is useful but scale is crucial; AI can do millions of jobs in the time it takes people to complete one.

Artificial Intelligence in Climate, Environment and Agriculture -
Similarly, AI is being used to assess and predict the pace of climate change by learning from massive historical data sets that define the climate, weather systems, and global warming. Here, AI may be used to forecast tectonic activity as well as severe meteorological occurrences such as storms, flooding, and tsunamis.
Artificial Intelligence in Commercial Settings -
AI may be used to mine and analyse data automatically, which can then be employed in commercial products and services. Web scrapers and machine learning algorithms may automatically locate information on the internet, analyse it, and utilise it to determine pricing plans, marketing campaigns, and advertising. Chatbots that have replaced human customer service employees for firms all around the world usually use AI. AI may also be used to foresee stock market trends and crashes by measuring prices and economic activities.
Artificial Intelligence for Novel uses -
MuseNet, for example, learns about rhythm, melody, harmony, and composition by 'listening' to millions of musical compositions using machine learning. It can create four-minute tunes utilising ten distinct instruments, with influences ranging from Bach to the Beatles and Metallica. Wordsmith can take massive amounts of data and turn it into written content that explains what the data means, eliminating the need for us to go through and interpret it all manually. Last year, it generated 1.5 billion pieces of content from petabytes of numerical data.
Artificial Intelligence in Engineering and Automation -
Humans can't go where AI can. A good example is space exploration. The NASA-developed AEGIS system, which is now in use by the Mars rover, can intelligently discern and measure data from Mars. Tesla and Toyota, among other automakers, are currently testing autonomous vehicles for use on Earth. AI can be used to replace human labour in engineering and manufacturing, for example, by learning the most effective way to finish a task and repeating it on a large scale.
Artificial Intelligence in Medical Advances -
Artificial Intelligence (AI) technologies are becoming increasingly popular in the healthcare industry. For example, remote patient monitoring technology enables healthcare providers to promptly perform clinical diagnostics and prescribe treatments without having the patient attend the hospital in person. AI can also help track the evolution of contagious diseases and even anticipate their impacts and results in the future.

Wrapping up - Learning, thinking, and perception are all goals of artificial intelligence. As technology improves, the machine that calculates basic operations recognised by a certain sort of system that requires a machine to optimise through embodied artificial intelligence will become more sophisticated. As a result, we may conclude that artificial intelligence is advantageous to various businesses in which machines are programmed to do complex tasks using artificial intelligence. Artificial intelligence techniques can be found in a variety of fields, including mathematics, computer science, linguistics, psychology, and space science.

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Oct

How to Become a Big Data Analyst?

iCert Global Other 0 2021-10-18 1076

In an era dominated by Big Data, traditional Data Analysts' skill set and knowledge are insufficient to tackle the intricacies of Big Data. So, who steps forward to save the day?

Big Data Analysts are, in essence, data analysts in the truest sense of the term, but they have one key distinction: unlike typical data analysts, who generally work with structured data, Big Data Analysts work with unstructured and semi-structured data.

This guide contains a full overview of job responsibilities, skill set, income, and the career path to become a Big Data Analyst to help you understand the job profile of a Big Data Analyst.

What is a Big Data Analyst?

A big data analyst is a person who gathers, organises, and analyses massive amounts of data (also known as Big Data) in order to find patterns and other important information. To work as a Big Data Analyst, you'll need to know how to mine data and audit data. Big Data analysts have one primary goal: to assist businesses in realising Big Data's genuine potential for positively affecting business choices. Big Data Analysts use a variety of business, Big Data, and analytics tools to analyse and understand data, including Microsoft Excel, MS Office, SAS, Tableau, QlikView, Hadoop, Spark, MongoDB, Cassandra, Hive, Pig, R, Python, and SQL, to name a few.

Skills of a Big Data Analyst:

Big Data analysts, like business analysts, often have great technical capabilities that are complemented by extensive industry knowledge. They are fully aware of the interconnections between the organization's numerous databases and data sources. They gather data utilising modern database tools and procedures and complex query instructions.

Knowledge about various programming languages and tools -
As a big data analyst, you should be familiar with the best data analytical tools and computer languages, such as R, Python, or SAS. The data analyst will only be able to find fresh useful insights after using one of the scripting languages.
Data mining and Data Auditing skills -
Data mining and data auditing, as previously said, are essential abilities for any data analyst. Data mining is the process of evaluating huge pre-existing databases to generate new information, whereas data auditing is the process of profiling data and determining the impact of poor data on an organization's performance and revenues. As a result, make sure you brush up on these skills.
Testing Skills -
A Big Data analyst will need testing abilities because he or she will be conducting A/B testing based on various assumptions that directly and indirectly affect various Key Performance Indicators.
Communication Skills -
As previously stated, Big Data Analysts must be able to effectively communicate and present their results so that others can understand them. As a result, they must have excellent writing and verbal communication skills in order to express their vision to others and to simplify complicated ideas.
Machine learning skills -
Machine learning, like statistical skills, is something that generally data scientists work on, but if you work in a large business, you may find that you need to know about machine learning methods like Decision Tress, K-Means, and so on.
Data Visualization skills -
This is one of the most crucial abilities a data analyst should have. The presenting of data in a pictorial or graphical style is known as data visualisation. This allows management to quickly and readily comprehend the data. How well you can communicate data visualisation to management determines its success.
Basic Statistical skills -
The statistical aspect is usually handled by the Data Scientist, but even a data analyst should have a basic understanding of statistics because it can help you choose the best technique when dealing with a certain problem.
Creative and Critical Thinking -
In order to draw conclusions, big data analysts must examine figures, patterns, and data. Working with hard data necessitates a high level of critical thinking, but creativity and a curious mind are as crucial. A smart data analyst can offer appealing research findings that other corporations or organisations may not have by looking at the numbers through a creative lens.
Mathematical skills -
To process numerical data, data analysts need advanced math skills, particularly in statistics.
Attention to detail -
The information is precise. To arrive at the correct findings, data analysts must be vigilant in their analysis.

Job responsibilities for a Big Data Analyst:

Let's look at the primary responsibilities of a Big Data Analyst now that you have a good knowledge of their job profile:

To collect, clean, organise, process, and analyse data from a variety of sources in order to extract important insights and information.
To find new data sources and devise strategies for better data mining, analysis, and reporting.
To achieve company goals, work in close coordination with both the IT team and the business management team.
To work with Data Scientists to create cutting-edge analytical tools.
To support day-to-day business operations and decision-making by performing routine analysis tasks.
To keep track of trends and correlational patterns in large amounts of data.
To use statistical analytic methodologies to research and analyse consumer data.
To keep track of the performance of data mining systems and, if necessary, to resolve problems.
To create relational databases for data collection and sourcing.
To assist the management team in the decision-making process, provide the findings in reports (in table, chart, or graph format).
To extract data from the data warehouse, you'll need to write SQL queries.
To develop data definitions for new database files or changes to existing ones for the purpose of analysis.

Big Data Analyst Salary

The salary of a Big Data Analyst varies depending on the sort of organisation for which you work, however here is a fair estimate:

Entry-level Big Data Analyst salaries range from $50000 to $75000.
Big Data Analysts with experience earn between $65000 and $110000 per year.

Big Data Analyst Salary (In India)

Big Data Analyst salary is determined by a variety of factors, including their educational background, level of Big Data competence, years of experience, and so on. The starting wage ranges from 5 to 6 LPA, with the salary increasing rapidly with experience and upskilling. Depending on the firm, an experienced Big Data Analyst might earn as much as 25 LPA.

Steps to move forward as a Big Data Analyst in your career

In three simple steps, you may begin your career as a Big Data Analyst:

With a STEM (science, technology, engineering, or math) background, earn a bachelor's degree -
While a Bachelor's degree with a concentration in STEM topics is not required for the work of a Big Data Analyst, most employers prefer applicants who have earned a Bachelor's degree with a specialisation in STEM subjects. Because this is the job's minimal selection requirement, you must ensure that you meet it. Learning STEM disciplines will teach you the essentials of Data Science, such as programming, statistics, and mathematics. You can enrol in particular classes for project management and database administration.
Get an entry-level job or internships in Data analysis -
While it may be challenging to find data analysis employment with no prior experience, you should always be on the lookout for opportunities. Many organisations or companies offer data analysis internship programmes, which can be an excellent way to start your career. Then there are in-house training programmes in Big Data Management, Statistical Analysis, and other areas. Enrolling in such programmes will assist you in developing the abilities necessary for data analysis. Another option is to hunt for positions as a Statistician or a Junior Business Analyst/Data Analyst at the entry level. Needless to say, these positions will not only assist you in furthering your education, but they will also provide you with valuable experience. They will, however, serve as a stepping stone to a job in Big Data.
Earn an advanced degree -
It's time to step up your game once you've gained some work experience. What do you mean by that? By earning a master's degree in data science, data analytics, or big data management, for example. A master's degree will boost your resume and open doors to new opportunities in high-level data analysis roles. Naturally, if you have a Master's degree or similar qualification, your potential wage package will improve significantly.

Capping off

Data Analysts will be in great demand in firms all around the world by 2020, according to the World Economic Forum's projections. Furthermore, the US Bureau of Labor Statistics (BLS) predicts that market research analysts, particularly Data Analysts, would have a 19 percent increase in employment between 2014 and 2024.

This is unsurprising, given the rapid growth of data. Companies will need to engage an increasing number of qualified Data Science specialists to suit their business objectives. After all is said and done, Big Data Analysts have a bright future ahead of them.

So, what exactly are you waiting for? We've covered everything you need to know about preparing for a job as a Big Data Analyst. The ball is in your court now! For more related articles, you can go through our website for additional information to Big data.

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Oct

Feasibility Study and Its Importance In Project Management

iCert Global Project Management 0 2021-10-15 16688

A Quick Guide to Feasibility Study

A feasibility study is conducted to determine whether or not a given project or system is economically viable. Before embarking on a project involving thousands of resources and costing millions of dollars, executives and the board of directors want to see a feasibility study report. If a large error is made during the decision-making process, it may have an impact on the organization's future performance. As a result, preparing a feasibility study report is essential for determining the project's viability. The sorts of feasibility studies used in project management will be discussed in this article.

A well-designed study should include information such as a description of the product or service, accounting statements, details of operations and management, marketing research and policies, financial data, legal requirements, and tax obligations, as well as a historical background of the business or project. Technical development and project implementation are usually preceded by such research.

Major benefits that feasibility study in project management can provide you

Project teams' focus is improved.
Provides pertinent information that aids in making a decision on whether or not to proceed.
Finds a convincing cause to continue with the project.
Assists in the decision-making process for projects.
Determines why proceeding is not a good idea.
It boosts the success rate by considering numerous parameters.
The number of company possibilities is reduced.
New possibilities are discovered.
Measures a project's ability and likelihood of being completed effectively.
Potential issues are highlighted.

5 types of Feasibility study in project management

Because a feasibility analysis assesses a project's chances of success, perceived neutrality is a critical aspect in the study's credibility with possible investors and lenders. There are five different types of feasibility studies, each of which examines a different topic, as stated below.

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Legal Feasibility:- This assessment looks into if any component of the proposed project violates any regulations, such as zoning rules, data protection legislation, or social media laws. Assume a company wishes to develop a new office building at a specified location. A feasibility study may discover that the desired location for the company is not designated for that sort of business. That organisation has just saved a lot of time and effort by discovering early on that their idea was not feasible.
Economic Feasibility:- This evaluation typically includes a cost-benefit analysis of the project, which aids firms in determining the project's viability, cost, and benefits before spending financial resources. It also acts as an objective project review, boosting project credibility by assisting decision-makers in identifying the proposed project's beneficial economic benefits to the organisation.
Technical Feasibility:- The technological resources accessible to the organisation are the subject of this examination. It aids companies in determining whether technical resources are adequate for the job and whether the technical team is capable of turning concepts into operational systems. The proposed system's hardware, software, and other technical needs are also evaluated for technical viability. An organisation, for example, would not want to try to install Star Trek's transporters in their facility because it is currently not technically feasible.
Operational Feasibility:- This evaluation entails conducting research to evaluate whether—and to what extent—the organization's needs can be addressed by completing the project. Operational feasibility studies also look at how a project plan meets the requirements specified during the system development requirements analysis phase.
Scheduling Feasibility:- Scheduling a feasibility evaluation is critical to project success; after all, if the project is not completed on time, it will fail. When scheduling feasibility, a corporation estimates the length of time it will take to complete a project. Following the consideration of all of these elements, the feasibility study can assist in identifying any potential project restrictions, such as:
- External restrictions include logistics, the environment, rules and regulations, and so on.
- Technological, financial, and resource restrictions are examples of internal project constraints.
- Technological, financial, and resource constraints are among the project's internal constraints.

Steps for - How to conduct a feasibility study in Project management

When doing a feasibility study, there are several procedures to take.

Conduct an introductory analysis - Before making an investment, a preliminary analysis is used to summarise project concepts, outline market circumstances, and identify potential hurdles. You can determine whether the proposal has promise based on the facts gathered in this step. If there are no big stumbling barriers, you can move on to the following phase.
Define the scope - It's vital to define the project's scope in order to determine the feasibility study's scope. The project's scope will also evaluate the influence it will have on internal stakeholders as well as external clients or customers. It's crucial to think about how the project might affect different parts of the firm.
Develop a projected income statement - Estimate how much money the project will make and how much money it will take to make that money. The first step in producing a projected income statement is to figure out how much money you have. Analyze and calculate the cost of the required services in order to create income.
Conduct a market research - One of the most critical phases in a feasibility study is to do market research. A market research project might be carried out by an internal specialist or by an outside agency. The goal of conducting a good survey is to establish accurate revenue projections. Market research is a comprehensive study that includes population trends, demographic characteristics, market volume, opportunity, location, and other factors.
Roadblocks and alternative solutions - It will research measures to assure the project's success if any potential barriers develop during the investigation.
Plan business organization and operations - At this stage, corporate organisations and operations are designed in sufficient detail to identify the organization's technological capabilities and operational costs.
Develop an opening day balance sheet - An opening day balance sheet is a chart that calculates total assets and liabilities on the first day of the firm before it earns money, using Prepaid Expenses, Other Assets, Current Liabilities, and Owners' Equity. The complete capital structure of your company is shown on the opening day balance sheet. Financial ratios are used to measure the project's financial situation.
Review and analyze - Review all of the work from the previous steps to ensure that you have included all of the relevant information and that nothing needs to be changed. Make a comparison of the charts and information from the previous steps to ensure that everything is in order. Examine the potential dangers that may arise during the project.
Make a final decision - Make a decision regarding whether the option is viable or not based on the information supplied in the previous steps. You will have adequate inputs to support your decision-making process if all of the preceding phases have been completely completed.

Key Features of a feasibility study for a good project

A project feasibility study evaluates the following topics in project management:

Time - How long do you think it'll take to finish?
Risk - What are the dangers of finishing this project? Based on the predicted rewards, is the risk worth the company's money and time?
Legality - Is the company well-equipped to complete the project in terms of technical resources?
Budget - Is the organisation financially capable of completing the project, and does the cost-benefit analysis justify proceeding?
Operational Feasibility - Is the project addressing the organization's needs in its intended scope by resolving issues and/or capturing opportunities?
Technical capability - Is the company well-equipped to complete the project in terms of technical resources?

Importance of Feasibility study in Project Management

The value of a feasibility study stems from the goal of an organisation to "get it right" before investing resources, time, or money. A feasibility study may unearth fresh ideas that totally alter the scope of a project. It's preferable to make these decisions ahead of time rather than rushing into a project only to discover that it won't work. A feasibility study is usually advantageous to a project since it provides you and other stakeholders with a clear picture of what is being proposed.

Suggestions - Some best practices to conduct project feasibility study

Feasibility studies are unique in that they represent the project's goals and requirements. The following recommendations, on the other hand, can be employed in any feasibility assessment. You might want to try the following, for example:

Make a preliminary choice about whether or not to go ahead with the strategy.
Prepare a balance sheet forecast.
Make an income statement that is projected.
Make plans for your business, organisation, or operations.
Conduct a market survey or market research to aid with data collection.
Analyze and test your data to make sure it's accurate.
Obtain input on the new concept from the appropriate stakeholders.

Conclusion

Many companies make the mistake of skipping the "feasibility analysis" process and jumping right into the project. In the vast majority of situations, this results in the project's failure. It's important to keep in mind that it's impossible to avoid potential losses if a choice to proceed has been taken without a thorough feasibility analysis. As a result, doing a feasibility study and creating a report for any sort of project that entails risks and uncertainties is a sound business practice.

We hope that this article titled “Importance of Feasibility study in Project Management” has clarified the concept of a feasibility study for you. Explore our library of Project Management articles for additional information, or enroll in our Project Management programme, which covers new trends, developing practises, customised considerations, and fundamental capabilities required of a Project Management expert.

Good luck with your reading!

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Oct

How to Build a Successful Career in Agile and Scrum?

iCert Global Agile and Scrum 0 2021-10-14 1031

In the last several years, the world of project creation and management has changed dramatically, particularly in the domain of software development. Although recognised, the classic Waterfall methodology does not satisfy the world's changing needs. Agile has been the approach of choice for software projects due to its speedy application development. You risk falling behind the curve and losing out in the industry's evolutionary race if you aren't Agile!

Agile has boosted the demand for IT specialists who understand the approach and its areas such as Lean, Kanban, Scrum, and Scaled Agile for organisations, which has revolutionised the face of project management and software development.

What is Scrum?

Scrum is a framework for facilitating teamwork. Scrum encourages teams to learn via experiences, self-organize while working on an issue, and reflect on their victories and losses to continuously improve, much like a rugby team (from which it gets its name). Scrum is a collection of meetings, tools, and responsibilities that work together to help teams organise and manage their work.

What is Agile and its methodology?

Agile is a collection of methods in software development that aims to increase the effectiveness of software development professionals, teams, and organisations. Agile methodology is a form of project management technique that is primarily used in software development and in which needs and solutions emerge from the collaborative efforts of self-organizing and cross-functional teams as well as their clients.

Why are Agile and Scrum so much in demand?

Agile and Scrum is a project management methodology that may be applied across sectors, enterprises, and everyday life. Practitioners are getting more Agile as a result of Scrum. Agile aids in the discovery of new ways to respond to threats and unavoidable change swiftly and accurately. Scrum is, above all, a tried and true methodology. It has been used by a variety of teams and projects as a successful and strong Agile framework.

Scrum is used in institutions such as colleges to produce valuable projects, armies to prepare ships for deployment, and the automotive industry to build fast, economical cars that sell for less.

Check out this Agile and Scrum Framework

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Agile and Scrum training

The goal of the Agile and Scrum training is to comprehend the essential ideas of Agile and Scrum, as well as to create a transparent and collaborative atmosphere in which the team works as a single unit. This course covers the principles and methods that help Agile and Scrum teams manage projects effectively. In activities to support the training process, the course explores the principles of Scrum, XP, and Lean.

Who can attend the Agile and Scrum training?

This course is for anyone interested in learning more about Agile and Scrum or getting a better understanding of them. This course teaches teams how to apply the Scrum framework to any project, whether it's for hardware or software development.

10 objectives - Why should you build a career in Agile and Scrum?

Scrum has the ability to revolutionise software development and project management across all industries and businesses. You'll be able to become more agile, which means you'll be able to learn how to react quickly and meticulously to any essential change that comes your way.

Transparency:- The Scrum team and stakeholders have complete authority over the project. This transparency and visibility aids team members in identifying project-related challenges. Face-to-face communication also helps the team produce the product on time by reducing the likelihood of miscommunication.
Reduction of risk:- Scrum's transparency aids in the early detection of any type of risk and makes it easier to respond to it. Risks are held by the Scrum master and his team members, who review them on a regular basis. As a result, Scrum lowers the chances of a project failing.
Continuous Improvement:- Scrum ensures that progress is made in a timely manner. Communication between the team, consumers, and stakeholders that is transparent and honest. Using the data from the daily scrum meetings.
Efficiency:- A good scrum master makes it more fun for his team to work because he understands that when people enjoy what they do, the quality of their work improves and the opportunity for innovation increases. Scrum boosts team members' morale in the following ways:
- As members of a self-organizing and self-managing team, they become more efficient, creative, and innovative.
- The Scrum team is capable of making decisions that allow them to maintain a healthy balance between their personal and professional life.
- Scrum masters support their teams by removing hurdles and shielding them from outside influences.
Flexibility:- Everyone wants 100 percent certainty at the start of a project that no changes will be required to make a product more valuable, which is improbable given the current rate of change in the market. As a result, anytime change is desired, it is necessary. Change is also tolerated in agile development projects. The time frame is set, and all of the specific needs aid in the production of the product. An individual who understands this concept and can make the necessary judgments, such as a product owner, is required.
Increase in ROI (Return On Investment):- One of the key reasons that scrum projects have a higher return on investment is the reduction in time to market. Scrum boosts ROI (return on investment) in addition to time-to-market benefits for the following reasons:
- Regular feedback from stakeholders, including consumers, through sprint reviews allows for project adjustment sooner in the process, which is less expensive and time-consuming.
- It lowers the risk of failure. If a scrum project fails, it does it early and more quickly than waterfall projects.
Easy to use:- Scrum is an agile methodology or approach for turning a difficult problem into something that can be solved quickly. Scrum is simple to implement in a corporation or organisation. Scrum management is simple and straightforward at all phases.
Customer Satisfaction:- Customer satisfaction is a critical task that must be completed. Customer happiness is enhanced by the involvement of the product owner, transparency, and the ability to adjust as needed. The Scrum team makes customers happy by doing the following:
- Keeping them informed about the project at all times.
- Having a product owner who is knowledgeable about product specifications and client wants is beneficial.
- Delivering products to clients faster and releasing them one at a time rather than all at once.
Save your money and time:- Tasks are completed in a more systematic manner using scrum, which saves time and money. A 20-minute daily check-in ensures that the project is progressing as expected at the outset. This saves time and money by allowing the project to be completed sooner and with higher quality output.
Control and Command on the Project:- Because of the following processes, the Scrum team has various options to control project performance and make improvements to develop better products if necessary:
- Changing priorities at each sprint interval throughout the project.
- The project team permits an embrace adjustment in response to market need.

What Agile and Scrum can do for the teams?

Engagement of Stakeholders:- During, before, and after each Sprint, Agile provides various chances for team and stakeholder involvement.
Focuses on Business Values:- By allowing the client to prioritise the features, the team gains a better understanding of the client's needs and can thus offer these features, resulting in increased business value.
Improving Quality:- The project team can focus on high-quality testing, development, and cooperation by breaking the project down into manageable components. Quality is increased by producing more frequent builds and completing more tests and reviews during each iteration.
Focus on users:- Agile is notable for combining customer stories with business-focused acceptance criteria to generate product requirements. Because each feature is tailored to the user's requirements, it not only provides components but also value.
Predictable and early delivery:- Using a predetermined, time-boxed timetable New features are delivered faster and more frequently, with a better level of predictability, in sprints of 1-4 weeks.
Transparency:- Clients can participate in all aspects of the project using Agile, from prioritising features to iteration planning, reviewing sessions to developing new features.
Allows changes:- Teams have the ability to re-prioritize and revise the total product backlog on a regular basis. Changes that need to be made or new ideas can always be scheduled for the following iteration. This allows the team to implement more modifications within the week.

5 Agile and Scrum courses that can make your career even better

PRINCE 2 Agile

This is an AXELOS’s certification that was recently designed and launched, and it is a very comprehensive agile project management solution that combines key Agile abilities with the PRINCE 2 framework.
The course is an add-on to AXELOS' existing courses, and it may have restricted options due to Agile's premise of not considering past experiences. This course, however, may serve as the next step in a natural evolution for people having PRINCE2 Foundation and Practitioner certificates. This course is anticipated to gain traction in the industry because AXELOS is backed by its major courses like PRINCE2 and ITIL. The course is now undergoing a pilot study and will be available to the general public in the near future.

2. PMI-ACP

From the PMI stable, this is a popular certification. Because it covers all components of Agile as given forth in the agile manifesto, the PMI-ACP is perhaps the most thorough of all the agile courses featured here. The PMI-ACP certification validates a person's ability to apply agile methods to their projects while also demonstrating their increased professional adaptability using agile tools and approaches.
Because it requires a mix of Agile training, agile project experience, and passing an exam on agile concepts, methods, tools, and methodologies, the PMI-ACP certification has a greater level of professional credibility.
This global certification also assists people in meeting the needs of organisations that rely on project practitioners to use a variety of project management approaches.
Because the PMI-ACP test has changed, it's critical to make sure that the training company you choose offers up-to-date courseware. The exam is a true assessment of the candidate's abilities in the Agile domain areas.

3. SAFe

Through Agile Release Trains, the Scaled Agile Framework provides an understanding of execution and release value. It creates an Agile Portfolio and leads a large-scale Lean-Agile transition. The participant will obtain an understanding of how to use Lean-Agile to assist agile teams, projects, and programme portfolio management, as well as to coordinate massive value streams, through this session. You'll learn how to handle large-scale implementations while keeping your company's goals in mind.
This course has been available for a while but isn't as well known, owing to the fact that this is a competence that is only used by senior professionals. A basic Scrum Master training is sufficient for the majority of people.
The Scaled Agile Framework improves a senior professional's ability to manage the big picture while staying on track with business goals.

4. Exin Agile Scrum Master

This is an EXIN certification that claims to be the next step in Scrum training. With its structure and weight on Agile as a whole, with a concentration on Scrum Master Training, this new kid on the block appears to be turning heads.
Currently, only trainer-led programmes, including online classrooms, are available for Agile Scrum Master certification. EXIN has partnered with simplicity as a strategic partner to provide best-in-class training materials that are designed and delivered using cutting-edge technology. Live Agile-Scrum games are included, making the training more entertaining and relevant. The course also includes over seven hours of e-Learning content, including online agile gratification and scenario-based games that simulate real-world scenarios.

5. Certified Scrum Master

The Scrum Alliance's CSM course is a well-known Scrum Master Course that the Scrum Alliance, a worldwide certification organisation, designed and popularised. The course is designed for students who have no prior Scrum expertise and focuses on instilling Scrum values. Workshops or classrooms are used to give the training, which focuses on activity-based learning. It helps participants comprehend important concepts like burning down charts, velocity, storey points, and sprints, as well as the underlying value framework of Savant Leadership. Overall, this will assist in comprehending how Scrum teams work inside product teams.
The CSM certification exam is straightforward and consists of 25 questions. You will receive a CSM certificate from the global body once you have completed it.

What can the Agile and Scrum certification do for you?

An employee's professionalism in Agile and Scrum processes, principles, tools, and methodologies is validated by an Agile and Scrum certification.
The certification verifies the candidate's competence to work with a variety of project management tools and approaches.
The accreditation gives you marketability in your field.

What are Agile and Scrum Artifacts?

Agile scrum artefacts are documents used by a scrum team and stakeholders to describe the product being built, the steps taken to create it, and the actions taken during the project. These artefacts provide metadata points that provide information about a sprint's performance. They are necessary tools for every scrum team because they allow for the basic scrum characteristics of transparency, inspection, and adaptation.

During the major activities of a scrum sprint, artifacts are created:

Plan your work and your objectives for the future.
Make a list of tasks to accomplish these objectives.
Tasks should be divided into sprints based on their dependencies and priorities.
Review and assess the findings to see how they compare to the objectives.
Complete the tasks.
Repeat the above steps

Important Artifacts of Agile and Scrum

Image Source:- https://www.atlassian.com/agile/scrum/artifacts

Product Backlog - A product backlog is a list of new features, additions, bug repairs, tasks, or work requirements that must be included in the development of a product. Customer support, competitor analysis, market demands, and general company analysis are among the input sources.

The product backlog is a "living" artefact in the sense that it is updated as new data becomes available. It's a cross-team backlog that the product owner maintains and curates between sprint cycles and as new ideas occur. It contains activities that were formerly part of an active sprint but have since been deprioritized and relegated to the backlog.

Sprint Backlog - The sprint backlog is a collection of items from the product backlog that have been prioritised for development in the next product increment. Development teams construct sprint backlogs to plan deliverables for future increments and explain the work required to create them.

Selecting a job from the product backlog and breaking it down into smaller, actionable sprint items creates sprint backlogs. Consider a task like "create a shopping cart page," which necessitates a slew of design and development subtasks. The principal job lives in the product backlog, while supporting tasks such as "build a shopping cart visual design prototype" and "programme the shopping cart sessions" are in the sprint backlog.

During the scrum sprint planning phase, the sprint backlog is updated. Smaller sprint responsibilities are delegated to appropriate teams, such as design and development. If a team is unable to complete all of the sprint tasks, the remaining sprint tasks will be placed on hold in the sprint backlog for a later sprint.

Product Increment - A product increment is the set of customer deliverables created during a sprint by fulfilling product backlog items. It also incorporates all prior sprint increments. For each sprint, there is always one increment, which is set during the scrum planning phase. Whether the team decides to release to the client or not, an increment occurs. In version tracking and, if necessary, version rollback, product increments are quite useful and complementary to CI/CD.

All of a team's effort should be linked with backlog items. For instance, for each backlog item, create a branch and build. Teams that integrate their version control and continuous integration and delivery (CI/CD) technologies into their scrum tracking software can leverage data from those tools to better understand how work is progressing. They can also deduce which backlog items will be launched and sent to clients. This also allows the team to look at commits in reverse and link them to a scrum increment to examine the code's history and planning.

Extra Artifacts

There are various extended or meta artefacts in addition to the official scrum artefacts already mentioned. While not required by scrum principles, these additional artefacts bring value and insight to a scrum cycle.

Burndown Chart

Although a sprint burndown (or burnup) chart is not an official scrum artefact, many teams use it during the sprint to communicate and track progress toward the sprint goal. Burndown charts are graphs that show how many tasks were done during a sprint. Burndown charts are extremely valuable for determining a team's active execution velocity, allowing them to determine if they will accomplish the sprint tasks as scheduled or whether they will need to reprioritize them.

Teams can use prior burndown charts to estimate how many tasks they can realistically achieve in a sprint during sprint planning. Teams can use in-progress burndown charts to see if they're on track to finish the sprint successfully. Teams can revisit the burndown chart during the sprint review to evaluate where they met or exceeded goals. Burndown charts assist teams fine-tune their estimates during the scrum planning stages over time.

Transparency of Artifacts

Scrum artefacts are valuable tools that help teams work more effectively. As a result, it's critical that all teams have access to the artefacts and can see them. Product owners and scrum masters should review and discuss artefacts with development teams on a frequent basis. This will aid teams in remaining aware of operational inefficiencies and coming up with innovative solutions to increase velocity.

Salary Expectations

Fortune 500 firms such as Dell, IBM, HP, and other top enterprises place Agile and Scrum professionals on their list of highly sought-after specialists. Agile and Scrum specialists typically earn between $107,000 and $126,000 per year.

Conclusion

The elaborated article titled “How can you build a successful career in Agile and Scrum?” is giving you sub topics which are briefly explained about Agile and Scrum. With the help of this article you can be a master in Agile and Scrum.

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Oct

8 Ways You Can Succeed In Machine Learning

iCert Global Emerging Technology 0 2021-10-12 1088

Everyone wants to make a good career in their respective fields just like people can make career in Machine learning. Machine learning will open immense opportunities for you in the industry. You can have better future with Machine learning skills as this career in high in demand. You can get a high paying job as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, and many more. It expected by experts that Machine Learning & Artificial Intelligence will make a business around $4 Billion by the year 2022. According to the surveys one third part of the companies have already started spending on Machine Learning and rest companies or industries are planning to do so.

Why you should work in Machine Learning?

In an industry of machine learning you will get many opportunities with great knowledge as well. You will get job opportunities in cyber security, face recognition, and so on. If you are curious about automation, algorithms, and data then this a right path you can choose for your career. There are many options you can choose within this career. People with machine skills are in great demand and little in supply, which helps to explain why these jobs are so valuable. There have even been tales of bidding wars for Artificial Intelligence expertise as big companies compete for the best minds in the field.

Industries are using Machine Learning

Image source: https://www.burtchworks.com/2018/06/12/2018-machine-learning-flash-survey-results/

8 Ways you can succeed in Machine learning career path

Understand what machine learning is: - Stating the obvious statement but it is equally important. Understanding machine learning and having experience is just like understanding basic mathematics behind it, understanding the alternative technology and having hands-on experience along with the technology is the key.
You should be curious about machine learning: - Machine learning is the only thing that is going to evolve in future, so you should be curious and must love to learn new things in Machine Learning. “Machine learning is in demand and is evolving quite rapidly in the last few years with new frame work, new technologies, new techniques, new languages and many more things to learn. This making people eager to learn”, says Florian Douetteau (Co-founder and CEO of Dataiku).
Be a team player: - If you are working in a machine learning profession you are most likely to work in a team, and that team would be comprise of a people who have directly interaction with the business team. And if you want to be a successful machine learning practitioner you must be able to work with a team.
Translate business problems into mathematical terms: - Machine learning is a field which is practically designed for logical minds. Machine Learning is a mixture of Mathematics, Technology, and Business Analysis. You must have openness towards the business problems and must be able to articulate business problems into the mathematical machine learning problems.
Must have a background in Data Analysis: - Data analysts are in the perfect position to choose their career path in Machine Learning as the next part of their profession because having a data analytics mind set is like a way to think about causes, consequences, and discipline where you look at the data, you dig into it, and you understand what works and what not.
Learn Python and how to use machine learning libraries: - Experts recommend that people who want to build their career in machine learning should learn python first and then dive into the machine learning libraries for better career growth.
Take online courses and practice more: - Your ultimate goal is to expand your machine learning skills as much as you can. You can start learning by mixing online courses and tutorials to get better knowledge in this particular field. By practicing more you can become a expertise in this field and can earn more in great industries with higher opportunities.
Gain knowledge of the industry where you want to work in: - Every industry or company has its unique goal and desires. If that the case the better you understand the need or desire of your industry the better you work for them. You don’t need to be expert in each and everything someone from your team might help you but gaining little knowledge from everything can make things easy for you and you can work hassle-free for your organization.

Career options in Machine Learning

Business Intelligence (BI) Developer: - A Business Intelligence (BI) Developer should be expert in SQL, Python, Power BI, Databases. The role of BI developer is to use data analytics and Machine learning techniques to work on large amount of data and to make it better for decision maker of the business.
NLP Scientist or Natural Language Processing: - Natural Language Programming Scientist should be expert in any language which human being can speak. In other words NLP Scientist trains the machine to interact with human beings. For this NLP should learn machine learning so that they can train the machine to talk in different languages which human beings use.
Data Scientist: - The role of a data scientist is somehow similar to BI developer. The data scientists have to work on data so that the decision makers of several businesses can make their decisions with the helped of the data on which the data scientists have worked.
Machine learning engineer: - Machine learning engineer works on machine to make future predictions. Machine learning engineer must have knowledge of Python, Scala, Data Modeling, Programming, and Machine learning algorithms, statistics, system design and probability. These things will surely make you a Machine learning engineer.
Data Architect: - A data architect ensures that the data solutions are built for design analytics applications and performance for multiple platforms. Data Architect works with the system designers, users, and developers in a project team.
Enterprise Architect: - An enterprise architect would be responsible for aligning the organization’s strategy along with the technology. An enterprise architect must have complete understanding of businesses and its technology needs in order to design the system architect.
Big Data Engineer or Data Engineer:- A data engineer is responsible for creating and managing company’s big data infrastructure and tools, it is someone who know how to get results quickly from a vast company’s data.

Machine Learning skills that are required

Now you know that you can have several career options in machine learning and now you must read what are the skills that are needed in this career path? –

Signal Processing Techniques: - This skill is very important in Machine learning. You may have to work with several signal processing techniques including shearlets, bandlets, contourlets, and curvelets.
Data evaluation and modeling: - An important part of this machine learning is Data evaluation and modeling. You can use various methods such as regression and classification to measure the error or accuracy of the given model. You must have an evaluation strategy to work on.
Programming Languages: - To get a better job opportunity you should know different programming languages. Such as – Java, R, Python, and C++. These languages will surely help you to work on various levels of your projects in your organization.
Statistics and Probability: - Your understanding of algorithms has a lot to do with the knowledge different theories. Such as Hidden Markov Theory, Gaussian Mixture, and Naïve Bayes. Well if you are not good at statistics and probability you will find difficulty to understand these algorithms.
Communication Skills: - The person should know how to translate completely technical terms to a non-technical team, so that they can better understand the project.
ML Algorithms: - You must know how machine learning algorithms work and which will fit perfectly in the situation is very important. You have to develop an understanding of different subjects like Partial differential equations, Gradient Descent, Quadratic Programming, Convex Optimization and many more.

Reasons why should you pursue your career in Machine Learning?

An industry needs Machine Learning and Artificial Intelligence experts so that they can work with them to get power as a leading industry in the market. Here are some few reasons which are listed below:-

The future of Machine Learning and artificial Intelligence: - Machine learning has the future for the industry and for your job prospects and this career is not going to die so soon not at least in a decade or two. All you need to do is gain proper knowledge in your respective field so that you can earn more with a job security.
Augmented career growth: - We must accept the fact that this career is in its early stage and people are yet to adopt this new career. But surely they will do because this is an expanding career for newbies out there.
Challenging work: - This career is mainly for those who are keen interested in real life projects and are ready to take any challenges. The person should know how to make a solution for every problem so that they can make solution for both individuals and businesses at same level.
Option to opt for Data Science: - People with machine learning skills have so many doors open to them with this career path. With the right set of skills people can also become a data scientist. As a data scientist you will get knowledge, challenges, and opportunities.

Conclusion

A job in machine learning allows you to keep up with the digital transformation that is sweeping practically every industry. Professionals with machine learning skills have various options available to them, from which they can select the one that most interests them and pays them according to their abilities. From smartphones to chatbots everything is going to depend on the machine learning and Artificial Intelligence, so it is the best time for you to start learning machine learning course to get a dream job in your dream company. If we particularly talk about machine learning engineers, there was an increase for job opportunities in the year of 2015-2018. The average salary in India for Machine Learning Engineers is Rs. 7 Lacs per annum. The article titled “Why should you choose your career in Machine Learning?” has mentioned all the aspects for you, so that it will make easier for you to decide your path in this profession.

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Oct

Career Progression With PMP For Non Project Managers

iCert Global Project Management 0 2021-10-11 1121

Today, the Project Management Profession (PMP) is becoming the most inspiring endeavor for professionals. If you are ready to do something innovative, choosing this profession is an ideal decision. Due to the market demand for this occupation, it is now considered one of the most acceptable occupations. Freshmen in particular who have just finished their studies are more interested in taking advantage of these opportunities; as they like to explore their careers in the most lucrative and challenging way possible.

If you are interested in project management, you can start your career in any area; because project management is necessary for all industries.

If you are looking for job openings in project management in various industries, you have come to the right place. In this article we will discuss the professional perspective of PMPs. Surprisingly, there are a variety of project management career opportunities in major industries such as information technology, banking, construction, IT-based services, and more. The decision is up to the candidates to choose one of these areas based on their choice.

Requirement for PMP, when working in a non-project environment

PMI does not require you to be formally associated with a project to gain the 4500 and 7500 hour project experience. It would be sufficient if you have dealt with various aspects of project management, even non-project work.

Components of Project Management in a Non-Project Environment

Let's learn this with an example. Assuming you are a pure business economist in the IT industry, his day at the office might include:

Resource planning
Business planning
Quality planning
Cost optimization
Automation
Process Improvement
Benchmark Analysis
Training new employees

The good news is that any time you spend on these assignments can be documented as project experience, increasing your eligibility for the PMP exam. All you have to do is assign these tasks to the appropriate buckets in the 5 phases of project management. PMI does not verify each candidate's credentials prior to the exam. From all applications received, PMI randomly selects 20% of the applications and reviews them. If your application is selected for an audit, you will need to provide your educational evidence and have your project-related experience validated by a stakeholder involved in the project or work area in the case of an off-project scenario.

Career progression with PMP for non-project managers

Even in a project-free environment, the PMP certification ensures healthy professional development by helping you align company goals with client goals. In PMP training, you will also learn to speak a language that resonates with both your stakeholders and your team members. It also helps you articulate specific aspects of your job responsibilities, such as making the best use of resources and dealing with risks and limitations.

Job opportunities with PMP certification for Non Project Managers

PMP is one of the best certifications that can be obtained regardless of the candidate's industry and employment background. PMP continues to be popular with professionals as it continues to be the high-paying position. Regardless of gender, women who are PMP certified earn more than women who are certified in other fields.

The project management approach requires constant change; Therefore, a company creating projects requires the use of standard and formal project management approaches. Furthermore, the abundance of projects, whether small or large, is continually increasing. For these two reasons, the demands of these skilled workers in the labor market will remain high for a long time to come.

Certified PMPs can be paid up to an average salary of $ 109,405. The most common questions asked by most professions are: "Will the PMP certification support a well-paying job?" Today, recruiters and candidates see PMP certification as a huge benefit. A growing number of applicants have started to enroll in PMP certification courses, showing that they understand the immense value of these certifications and that recruiters prefer their candidacy to non-certified professionals.

Project Management Skills for Non-Project Managers

It is common for professionals who are asked to complete projects to do so in their normal work environment, regardless of whether they have the necessary skills and formal training, such as project managers, to manage and streamline projects in a more efficient way. structured. Managers and knowledge workers unexpectedly slipped into the role of project manager.

Of course, even a layman may know that project management is the process and discipline of end-to-end management tasks within the project life cycle. The project life cycle includes activities such as:-

Monitoring
Controlling
Budgeting
Planning
Resource Managing
Keeping the morale among the project team

It is also difficult that all the activities mentioned above need to be done at the same time to achieve the project objectives on time and with the specified quality. It is also essential to ensure quality and performance with the strategic definition of the organization.

In addition to responsible factors such as project completion and execution, the success of a project also depends on how it was carried out.

Therefore, non-project managers who do not have enough experience as a project manager should be properly trained to become familiar with the tools and techniques necessary to efficiently manage, direct, execute and control projects in the analysis of operations of the day to day.

In general, managers who are not project managers lack the following qualities:

Scope Creep
Time Management
Formal Process or Project Training
Persuasion skills

The lack of the above attributes increases the potential for project disappointments that cost companies money, time and morale. Therefore, managing projects without the right skills leads to speeches and frustrations. If you plan to manage your projects in a systematic way, knowledge of project management is essential. The PMP certification is the best option to simplify your project management process.

Without the proper project management skills, organizations and managers would find themselves in a chaotic and unpredictable environment over which they have little control. Therefore, the project management certification is essential and necessary for the success of the project.

Benefits as PMP to get an amazing job

Make your resume more impressive:- Because the PMP certification is widely recognized, candidates must meet certain requirements to become certified. Employers consider achieving these basic principles high, as it requires effort, time and commitment. Therefore, the PMP certification will add astonishing value to the resume of candidates who are PMP certified and planning to pursue a career in project management. In addition, this certification also brings the career of candidates who are already involved in project management and includes the necessary track of experience in the following area.

Most recruiters refer to the PMP certification through the master's degree.

While a master's degree is valuable, the certified recruiter demonstrates that the candidate has proven experience and has passed strict criteria. The PMP qualification provides training in project management in the industry with extensive experience in industrial projects. For this reason, most industries place more importance on this certification than others.

Below are some of the industries that only consider candidates with basic certifications:

Defense
Pharmaceuticals
Financial Services
Aerospace

PMP Project managers have put in a significant amount of effort and time to obtain PMP certification, which means they are qualified for project management commitment as a profession. Even if you do not want to work as a project manager for the rest of your life, understanding the significance of this certification will help you advance in your career. This demonstrates that there are regulated opportunities for project management available these days, necessitating the PMP certification.

2. Earn Higher Salaries:- Once a certified professional has passed the interview stage, he has a good chance because he will earn more than someone who does not have certification. According to a 2011 survey of thirty thousand project management professionals, PMP professionals in the United States earned an average annual salary of $111, 824, while project managers without the PMP certification earned $97,829 on average. Surprisingly, there is a $14,000 difference.

Image source:- Salary Survey of Project Management Institute, 7th edition

The salary of project management professionals is shown in the table above. In addition, project management professionals with the certification also feel secure and comfortable in their earning capability. According to one study, 76 percent of professionals with certification expected their pay to increase in the coming year, while only 2 percent expected it to decrease. This demonstrates that PMP certification can be sufficient to increase a person's salary range. Some professionals report that their salary was immediately doubled after completing the PMP training course.

Conclusion

In today's industry, project managers can no longer ignore the practise of project management. Even if your present job does not contain project management, having a PMP credential to your name can help you advance your career. However, there is a common misperception that you must be a project manager or at the very least be involved in any project in some way.

They are in charge of establishing the foundations of what is achieved throughout the project lifecycle. In most industries, PMP certification is becoming increasingly important. Since then, it has become a long-term career investment. As discussed above, Project management abilities are in high demand in a variety of industries, including information technology, banking, construction, information technology-enabled services, and much more. Candidates have the option of selecting any of these areas based on their preferences.

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Oct

What is Scope in Project Management?

iCert Global Project Management 0 2021-10-08 2072

Every project manager's dream is for the project to run smoothly from start to finish, with no delays or budget overruns. However, this is a rare occurrence in reality. Even if you discuss and plan out all of the details ahead of time with all of the project stakeholders, something will always modify the scope of the project during its execution. Scope creep is a major source of concern for project managers, affecting 52% of projects. You may document everything needed to meet the project's goal and minimise difficulties like scope creep by regulating the scope in project management.

Identifying and recording a list of specified project goals, deliverables, tasks, costs, and deadlines is the project scope. A scope statement, also known as terms of reference, is a document that documents the scope of a project. It defines the project's boundaries, assigns tasks to each team member, and develops methods for verifying and approving completed work.

What is project scope management, and how does it work?

As part of the planning process, project scope management assists in identifying and recording a list of all project goals, tasks, deliverables, deadlines, and budgets. It is normal in project management for a large project to undergo changes along the way. It is much easier for teams to manage and make the appropriate modifications when the scope of the project management is set right at the start.

One of the most difficult duties for a project manager is managing the expectations of stakeholders and clients. Managers can simply keep on track and guarantee that all deadlines are met throughout the project life cycle when there is clear project scope.

A well-defined project scope management strategy will help you prevent problems like:

Demands that are constantly changing
When you're in the middle of a project, you can change the direction.
Recognizing that the end result isn't what you had hoped for
Examining the budget that was mentioned
Failure to meet project timelines

Effective project scope management provides a clear picture of the project's time, labour, and cost. It aids in determining what is required and what is not required to complete the job. In project management, the scope also establishes the project's control factors, which handle components that may change over the project lifecycle.

What criteria are used to establish the project's scope?

The project scope is a document that records particular goals, deliverables, features, and budgets as part of the project planning process. The scope document lays out a list of tasks that must be completed in order for the project to be completed successfully.

Understanding the project needs and the client's expectations helps define the scope. In most cases, the scope statement includes,

project deliverables
exclusions
project constraints and
Assumptions.

Scope statement in project management

In project management, a scope statement is a declaration that describes the scope of the project. The scope statement of a project is also known as the scope document or statement of work.

The statement of the project's scope

This document outlines the project's boundaries as well as the team's duties. Gives team members a definitive guideline for making project-related decisions by defining all the procedures that must be followed for verifying and approving the finished work.

Team members and stakeholders must be as detailed as possible when documenting the scope of a project to minimise scope creep, a situation in which some components of the project end up needing more time and effort than originally agreed owing to miscommunication or poor planning. Teams may ensure that the project is completed on time and that the end result meets the initial specifications by using good project management.

Process for managing the scope of a project

1. Management of scope planning

You generate a scope plan document in the initial step of project scope management, which you can refer to later. The document is primarily used to define, manage, validate, and regulate the scope of the project. It contains the following items:

A detailed scope description for the project
All of the project's requirements are broken out.
Project deliverables to be expected
Process of change management

The paper does not need to be highly thorough; it only has to serve the intended goal. You can also utilise the scope management plan from a previous project as a guide.

2. Obtaining specifications

The next step is to figure out what stakeholders want and expect. Through interviews, surveys, and focus groups, you will be expected to document all project needs, expectations, budgets, and deliverables.

This is a critical stage because stakeholders frequently have unreasonable criteria or expectations, and project managers must intervene to find a solution that is acceptable to all parties in order to avoid project delays. You should have the following items at the end of the collection requirements stage:

Requirements that are both functional and non-functional
Stakeholder expectations
Needs of the business
Needs for assistance and training
requirements for the project

3. Defining the scope of the project

You'll need to put your requirements into a detailed description of the service or product you're seeking to deliver through the project at this point. After that, you'll have a project scope statement to refer to throughout your project.

While it is critical to state what is included in the project's scope, it is equally crucial to note what is excluded. Any scope additions would have to go through the complete change control procedure to guarantee that the team is only working on what they're meant to be working on.

You receive a reference point for your project team and anybody else involved with a defined scope. If there is something that is not part of the scope, the team does not have to accomplish it.

4. Creating a breakdown structure for a project

A project breakdown structure is a document that breaks down all of the work that must be completed in the project and then distributes all of the jobs to team members. It also includes a list of the deliverables that must be completed as well as their deadlines.

You can use project management software to assign and prioritise tasks at this stage of the process, making it easier to track the project's overall progress and avoiding any unneeded bottlenecks.

5. Validation of the scope

The scope and deliverables that you have recorded in this stage must be forwarded to project executives and stakeholders for approval. Before beginning the project, scope validation should be completed to ensure that if something goes wrong, it will be straightforward to figure out what went wrong.

6. Managing the scope

Project managers must guarantee that the project stays within the defined scope from the start. If some things need to be changed, the right change management procedure should be followed.

Five Ways to Manage Project Scope Effectively

Create a Work Breakdown Structure (WBS) so that the scope statement can be broken down into smaller, more manageable chunks.
Avoid ambiguity in your scope to avoid extra effort and stress. Define it as precisely as you can.
To avoid misinterpretations of requirements, make the process of determining scope a collaborative one.
To avoid any scope expansion beyond what was originally specified, make sure the scope document is not changed during project execution.
Finally, take your time to confer with all important stakeholders and determine the project scope, as it will not be able to be changed once it is finalised.

Conclusion

You wouldn't make an article of clothing without a pattern, and you wouldn't build a house without plans. However, for some reason, many initiatives get started without a clear scope, which is just as bad as making baklava without a recipe.

Project management scope is a difficult subject to grasp. The Project Lifecycle is one of the initial phases in managing and completing a project, and it's crucial because it's here that you'll figure out:

Your project's objectives
The project's justification
requirements for the project
Strategy for the project
Constraints
Estimated costs
Tasks that must be completed within a certain budget
Analysis of the cost-benefit ratio
Deliverables
Deadlines

You can begin assigning duties once you have a clear grasp of the project's goals and deliverables, but it's critical to have a scope in place first. The scope will serve as a guiding force throughout the project, assisting you in staying on track. Scope creep may happen to even the most seemingly straightforward initiatives.

Scope creep is normal, but a project scope declaration can help you avoid it. When someone asks you to add to the project, you may pleasantly (but firmly) point them to the change control procedure thanks to this extensive documentation, which contains a summary of what's in and what's out of scope.

Good communication is required for effective scope control. This ensures that everyone on the team is aware of the scope of the project and agrees on how the project's objectives will be reached. As the project progresses, the team leader should seek stakeholders for approvals and signoffs as part of scope management, ensuring that the planned finished project fulfils everyone's needs.

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Oct

Top 10 Network Security Certifications

iCert Global Emerging Technology 0 2021-10-07 3680

The first line of protection against hackers and other cyber dangers is network security. We can see why network security has become more important, given estimates that cybercrime would cause $6 trillion in global damage by 2021. However, just as there are numerous types of assaults, there is a bewildering assortment of cybersecurity certificates from which to pick.

While having so many cybersecurity options is undoubtedly beneficial, the sheer number and range of options also present a hurdle. It's easy to become overwhelmed by the number of options available, to the point where you don't make a decision at all.

What are the most important network security credentials? Which one(s) is/are the best fit for you and your company? Is there any cyber security certification that is generally applicable?

What is the Definition of Network Security?

Most experts define network security as policies and practices for preventing trespassing, unlawful access, alteration, misuse, change, destruction, or the unauthorised gathering and dissemination of data on network infrastructure. A combination of hardware devices, security software, and user understanding of security processes and approaches is required for the entire process.

Employees who have been instructed on correct security measures, as well as experts who have completed network security training, are examples of the latter part.

What is the Purpose of Network Security?

Many parts of our lives have made the transition to the digital realm. We utilise the internet to conduct financial transactions, interact with family and coworkers, shop, entertain ourselves, and conduct research. Everything from birth dates, Social Security (or other identification numbers), health history, credit history, bank accounts, utility bills, and a variety of other things can be found online.

Hackers and cybercriminals have access to all of that information and transactions. The more time we devote to the internet, the greater the chance of being hacked. Furthermore, as the Internet of Things (IoT) grows in prominence, so does reliance on wireless networks, which only adds to the threat picture by giving criminals more ways and opportunities to commit fraud. There is far too much at stake in our personal and professional lives for network security to be compromised. So, what are the different types of network security?

What Are the Different Network Security Types?

Cybersecurity specialists have access to a vast array of network security technologies, methodologies, and practices. Here's a high-level summary:

Software

Anti-virus, anti-malware, and anti-spyware are examples of security software. These tools are offered as suites or as subscriptions, and the hosting provider updates them on a regular basis to stay on top of the current threats. These programmes keep an eye on your network and thwart intruders, spyware, and viruses.

Aside from that, it's far better to purchase a security subscription rather than buying a suite and installing it yourself. Subscription providers/vendors are better equipped to deal with the cybersecurity landscape's continual changes. Every day, it seems like a new cyber threat or virus emerges, and your software won't be able to protect you from threats it isn't aware of. That's why it's best to let the subscription provider handle the heavy job.

Firewalls

If your network were a posh nightclub, the firewall would be the bouncer, guarding the entrance and keeping intruders out. They block unwanted users by filtering traffic (both incoming and outgoing) based on established policies. Anyone who has attempted to work remotely but been barred out of their company's core systems due to a lack of authorisation knows how powerful a firewall can be.

Security Software for Email

In any network, email is a particularly vulnerable point. Cybercriminals enjoy sending phoney emails that appear to be from respectable businesses and financial institutions.

However, a single click on a link hidden in these phishing emails could damage your machine. To that purpose, email security software can not only filter out incoming threats but can also block the transmission of particular types of data.

Password Security

This is such a basic measure, but it is crucial. Strong passwords are a low-cost but effective approach to keep systems, apps, and networks secure, and you don't need to be a cybersecurity expert to use them. We don't mean passwords like "password" or "99999" when we mention "strong" passwords.

Networks that are Segmented

This method sorts and separates traffic according to predetermined parameters. Segmented networks are particularly effective for confining users to a single area, namely the one in which they need to complete their work, while keeping them away from material that isn't relevant to them. Restricting users in this way helps to reduce the network's overall weak points.

Top 10 Network Security Certifications

Before you can make a lot of money in network security, you must first understand the tools and abilities. This is where network security education comes into play. Network security certifications courses not only provide you with the necessary information for these professions, but they also provide you with a useful credential that verifies your qualifications to potential employers.

1. CEH: "Certified Ethical Hacker."

Ethical hacking, also known as white hat hacking, penetration testing, or red team hacking, is the practice of legitimately hacking businesses in order to find weaknesses before harmful actors do. The CEH Certified Ethical Hacker certification is offered by the EC-Council. To demonstrate your knowledge of penetration testing, attack detection, vectors, and prevention, earn this badge.

These are IT security professionals, also known as "white hat hackers," whose duty is to try to breach systems and uncover weaknesses. They are hired by businesses and organisations to uncover flaws in the system and figure out how to remedy them. When you consider how vital cybersecurity has become, it's no surprise that this certification is so valuable.

The CEH certification teaches you how to think like a hacker and how to be more proactive when it comes to cybersecurity. Consider this qualification if you want to work in the following fields:

$104,116 for a penetration tester
$86,454 for a cyber incident analyst
$90,269 for a threat intelligence analyst
$158,536 for a cloud security architect
$100,636 for a cybersecurity engineer

Requirements: You can take the CEH test if you have two years of information security job experience or if you have completed an authorised EC-Council programme.

Cost: Depending on the testing location, costs range from $950 to $1,199.

2. CISSP: (Certified Information Systems Security Professional)

This certification is for experienced security professionals who are in charge of developing and managing security processes, policies, and standards for their firm. It is ideal for IT security professionals who are looking to advance their careers.

The cybersecurity professional organisation (ISC) ranks among the top. CISSP certification is one of the most sought-after qualifications in the business. Earning a CISSP validates your knowledge of IT security and your ability to design, implement, and monitor a cybersecurity programme.

This advanced certification is for security professionals with expertise who want to further their careers in roles such as:

$170,793 for Chief Information Security Officer
$85,742 for a security administrator
$100,605 for an IT security engineer
$111,250 for a senior security consultant
$82,070 for an information assurance analyst

Requirements: You must have five or more years of cumulative work experience in at least two of the eight cybersecurity domains to take the CISSP exam. Security and Risk Management, Asset Security, Security Architecture and Engineering, Communication and Network Security, Identity and Access Management, Security Assessment and Testing, Security Operations, and Software Development Security are just a few of the topics covered.

You can still take the exam to become an Associate of (ISC)2 if you're new to cybersecurity and don't have the required experience. After passing the exam, you'll have six years to gain the necessary experience to achieve full CISSP certification.

One year of labour is satisfied by a four-year degree in computer science. Part-time jobs and paid internships are also valid options.

Cost: $749

3. CISA: (Certified Information Systems Auditor)

This certification is aimed at information security professionals who work primarily in the areas of audit control, assurance, and security. It equips you with the knowledge and skills needed to manage and control enterprise IT and conduct a thorough security audit. ISACA allows you to demonstrate your experience in identifying security vulnerabilities, devising and implementing controls, and tracking compliance. It's one of the most well-known qualifications in the field of cybersecurity auditing.

The CISA is for IT professionals in their mid-career who want to develop into positions such as:

$122,254 for an IT audit manager
$69,083 for a cybersecurity auditor
$99,372 for an information security analyst
$93,526 - IT security engineer
$102,743 for IT project manager
Manager of Compliance Programs - $92,829

Requirements: At least five years of expertise in IT or IS audit, control, security, or assurance is required. One or two years of experience can be substituted for a two- or four-year degree, respectively.

Cost: Members pay $575, while non-members pay $760.

4. Manager of Information Security Certification (CISM)

You can certify your knowledge in the management side of information security with the CISM certification from ISACA, which covers issues like governance, programme creation, and programme, incident, and risk management.

Earning your CISM could be a smart choice if you want to go from the technical to the managerial side of cybersecurity. The CISM is used in the following jobs:

$108,353 for an IT manager
Security officer for information systems - $96,568
$92,624 - Information Risk Consultant
$173,387 Director of Information Security
$119,816 for a data governance manager

Requirements: You must have at least five years of experience in information security management to take the CISM exam. With general information security experience, you can satisfy up to two years of this prerequisite. With another valid certification or a graduate degree in an information security-related discipline, you can also skip one or two years.

Cost: Members pay $575, while non-members pay $760.

5. CompTIA Security+

CompTIA Security+ is a certification programme that certifies you as a security expert. Cryptography, threat management, identity management, network access control, security systems, risk identification, and mitigation are all covered in this certification. It is aimed towards people who are just starting out in the field of information technology.

The certifications you choose will be determined by where you are in your profession, and each person's ideal list will be unique. The final two certificates, for example, are best suited for entry-level IT employees, whereas the CISM and CISSP are designed for more seasoned security experts. There is no better method for an IT professional to become well-rounded than to gradually earn certification in all of the above fields. Even the most seasoned cybersecurity professionals might benefit from a refresher course. Whether it's a newly found cyber threat or a new strategy to combat it, there's always something new to learn. Upskilling not only elevates your status within your company, but it also makes you a more marketable candidate if you decide to move on. Expertise, leverage, and independence are all benefits of upskilling.

The CompTIA Security+ certification is an entry-level security certification that verifies the essential abilities required in any cybersecurity position. Demonstrate your ability to assess an organization's security, monitor and secure cloud, mobile, and internet of things (IoT) environments, comprehend risk and compliance rules and regulations, and identify and respond to security issues with this certification.

Obtaining your Security+ certification can assist you in a variety of positions, including:

$74,086 for a systems administrator
$70,531 for a help desk manager
$109,863 for a security engineer
$110,152 for a cloud engineer
$85,742 for a security administrator
$78,633 for an IT auditor
$107,597 for a software developer

Requirements: While there are no mandatory prerequisites for taking the Security+ test, it is recommended that you first acquire your Network+ certification and gain at least two years of IT experience with a security focus.

Cost: $370

6. Security Essentials Certification by GIAC (GSEC)

This entry-level security accreditation from the Global Information Assurance Certification (GIAC) is for persons with a background in information systems and networking. This certification verifies your knowledge of active defence, network security, cryptography, incident response, and cloud security.

If you have some IT experience and want to move into cybersecurity, consider taking the GSEC exam. The skills indicated by the GSEC are used in the following job roles:

$124,638 for IT security manager
$85,121 for a computer forensic analyst
$104,116 for a penetration tester
$85,742 for a security administrator
$78,633 for an IT auditor
$116,252 for a software development engineer

Requirements: There are no specific prerequisites for taking the GSEC exam. Get some experience with information systems or computer networking to set yourself up for success.

Cost: $2,499 (includes two practise tests)

7. Certified Systems Security Practitioner (SSCP)

Employers will be able to see that you have the abilities to design, deploy, and maintain a secure IT infrastructure if you have this intermediate security certificate from (ISC)2. The exam assesses knowledge of access controls, risk identification and analysis, security administration, incident response, cryptography, and network, communications, systems, and application security, as well as network, communications, systems, and application security.

The SSCP is for IT professionals who work directly with a company's security systems or assets. This accreditation is suitable for jobs such as:

$95,997 for a network security engineer
$74,086 for a system administrator
$76,112 for a systems engineer
$77,662 for a security analyst
$82,167 for database administrator
$97,516 for a security consultant

Requirements: Candidates must have at least one year of paid job experience in one or more of the testing areas to be eligible for the SSCP. A bachelor's or master's degree in a cybersecurity-related programme can also satisfy this requirement.

Cost: $249

8. Advanced Security Practitioner (CASP+)

It is a certification offered by CompTIA. The CASP+ is for cybersecurity professionals who have demonstrated advanced skills but want to stay in the industry (as opposed to management). Enterprise security domain, risk analysis, software vulnerability, safeguarding cloud and virtualization technologies, and cryptographic approaches are among the advanced subjects covered in the test.

Advanced responsibilities in architecture, risk management, and enterprise security integration may become available as a result of the CASP+. The following are examples of possible job titles:

$152,732 for a security architect
$109,863 for a security engineer
$110,660 for an application security engineer
$109,766 for technical lead analyst
$80,475 for a vulnerability analyst

Requirements: There are no formal prerequisites for taking the CASP+ examination. Only experienced cybersecurity workers with at least 10 years of IT administration expertise should take it, according to CompTIA (including five years of broad hands-on experience with security).

Cost: $466

9. Incident Handler with GIAC Certification (GCIH)

The GCIH certifies your knowledge of offensive operations, including as common attack strategies and vectors, as well as your ability to identify, respond, and defend against attacks. Incident handling, computer crime investigation, hacker exploits, and hacker tools are all included in the certification test.

Anyone who works in incident response will benefit from this certification. The following are examples of job titles:

$92,833 for incident handler
$152,732 for a security architect
$74,086 for a system administrator

Requirements:There are no specific prerequisites for taking the GCIH exam, however having a working knowledge of security principles, networking protocols, and the Windows Command Line is a good idea.

Cost: $2,499 (includes two practise tests)

10. Certified Professional in Offensive Security (OSCP)

One of the most sought-after credentials for penetration testers is the OSCP from Offensive Security. The exam assesses your ability to compromise a number of target devices using a variety of exploitation techniques and provide detailed penetration test reports for each attack.

The OSCP is an excellent choice for jobs such as:

$104,116 for a penetration tester
$100,742 for ethical hacker
$65,148 for a threat researcher
$92,005 for an application security analyst

Requirements: There are no official exam requirements. Networking, Linux, Bash scripting, Perl or Python knowledge, as well as completion of the Penetration Testing with Kali course, are all recommended by Offensive Security.

Cost: $999. (Penetration Testing with Kali Linux (PWK/PEN-200) training, 30 days of lab access, and one test attempt are included in the basic package.)

How to Choose the Right One for You?

Earning a cybersecurity certification can help you authenticate your hard-won abilities and boost your career. When deciding whether certification is best for you, keep the following points in mind.

Your level of knowledge: Begin by obtaining a certification that corresponds to your present skill set. Invest in a certification that you know you'll be able to complete and utilise it to progress to more difficult certifications later in your career. If you're fresh to the field of information technology,

Cost: Obtaining certification often costs several hundred dollars (or more), plus ongoing fees. The correct certification can lead to improved career opportunities and more pay, but it's crucial to invest carefully.

It's always a good idea to ask ahead of time if your employer would assist pay for your certification. According to the (ISC)2 survey, 40% of respondents stated that their company paid for their courses, exams, and fees.

Area of focus: A more generic certification can be a suitable alternative if you're just getting started in cybersecurity or want to progress into a management position. You might decide to specialise as your career progresses. A certification in your concentration area will help potential employers recognise your abilities.

Potential employers: Employers who might be interested: Examine the job descriptions of potential companies (or the job titles you intend to apply for) to determine what certifications are typically required.

Having the correct certifications might help you find work in the field of information security (InfoSec). If you work in information security or cybersecurity, you should be aware of the top network security certifications. Gaining these credentials can help you to achieve success in your career.

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Oct

5 Phases of Project Management Process

iCert Global Project Management 0 2021-10-06 2865

Managing a project, regardless of its scope or size, is a difficult task. There's a lot that can go wrong, from planning the smallest details to dealing with clients' ever-changing requests to delivering deliverables on time. It's easier to control the project and the quality of the output when you break it down into manageable stages, each with its own set of goals and deliverables.

A project management life cycle, according to the Project Management Institute's (PMI) PMBOK Guide (Project Management Body of Knowledge), consists of five distinct phases that combine to turn a project idea into a workable product: initiation, planning, execution, monitoring, and closing. The project management process is divided into five basic phases:

Start-up of the project
Planning a project
Implementation of the project
Monitoring and Controlling the Project
Project Completion

Image Source:- https://kissflow.com/wp-content/uploads/2019/12/phases-of-project-1.png

The 5 Phases of Project Management Process

Phase 1: Project initiation

The project start phase is the initial step in transforming a vague notion into a concrete goal. You must construct a business case and characterise the project on a general level at this stage. To accomplish so, you should first determine the project's need and then create a project charter.

The project charter is an important document that contains information such as project limits,aims, the project manager's appointment, budget, and estimated timeline. Identify important project stakeholders – the people who will be involved in the project – once you have the project aim and scope. Create a stakeholder list that includes responsibilities, roles, communication requirements, and power. While this phase establishes the project's clear goal, it doesn’t include any technical details that occur during the planning step.

Consider the case - a car company tasked with developing an electric vehicle. The vehicle's capacity, design, and battery power will not be decided at the beginning phase. Only one thing is certain - an electric car will be created within the budget and period allotted.

Phase 2: Project planning

Because it lays out the project's road map, the project planning step demands close attention. Unless you're utilising a current project management methodology like agile project management, the second phase of project management is likely to consume about half of the project's total time.

Identifying technical requirements, building a thorough project timeline, designing a communication plan, and setting up goals/deliverables are the crucial responsibilities in this phase. There are various approaches for establishing project goals, but the most prominent is S.M.A.R.T. and C.L.E.A.R.

S.M.A.R.T. Objectives:

The S.M.A.R.T. criteria ensure that the objectives you specify for your project are evaluated critically. It's a tried-and-true strategy for reducing risk and allowing managers to set clear achievable targets. The abbreviation SMART stands for Specific, Measurable, Attainable, Realistic and Timely

C.L.E.A.R. Goals:

The C.L.E.A.R technique of goal-setting is meant to accommodate the fast-paced environment of today's business. C.L.E.A.R. can assist you in meeting the demands of today's fast-paced organisations, which include flexibility and instant outcomes. C.L.E.A.R. is an acronym that stands for Collaboration, Limited, Emotional, Appreciable and Refinable

The project's scope is defined during the planning phase. The scope of the project can be changed if it is necessary, but the project manager should approve the change. Project managers also create a Work Breakdown Structure (WBS), which breaks down the entire project into manageable portions for the team. Another crucial aspect of the planning stage is a precise project timeline that includes each delivery. Project managers can use that timetable to create a communication plan and schedule with the appropriate stakeholders.

Another key objective of project management that is included in the planning stage is risk minimization. Conclude historical data to identify potential hazards and developing a strategy to mitigate them is the project manager's responsibility. A good change management strategy is a key factor that many professionals ignore. To avoid bottlenecks and project delays, as a project manager, you should be willing to make a few changes to the project. Scope creep occurs when there isn't a working change management plan in place, and it causes major challenges or issues for the project team later on. As a result, it's best to minimise the risk of unanticipated changes as much as feasible.

Phase 3: Project execution

The actual work is done by the team during the project execution phase. Your role as a project manager is to set up effective procedures and keep a close eye on your team's development and betterment.

Keeping excellent collaboration amidst project stakeholders is another job of the project manager during this stage. This keeps everyone on the same pace and ensures that the project goes off without a hitch.

You can use collaborative software that is now available on the market to help you. They will not only make your life easier, but they will also improve your team's efficiency and productivity.

According to the project plan, the team works on and completes the project deliverable. The project manager and other stakeholders collect metrics during this phase through status meetings, project status updates, workload reports, and performance reports. This important phase gives the project team and everyone else involved a better idea of whether the project will succeed or fail.

Phase 4: Project monitoring and controlling

The third and fourth phases of the project management process are not consecutive. The project monitoring and control stage occurs concurrently with project execution, ensuring that project objectives and deliveries are met. By creating Critical Success Factors (CSF) & Key Performance Indicators (KPI) as a project manager, you should ensure that no one deviates from the original plan.

The monitoring and control phase of a project occurs concurrently with the execution phase. This phase focuses on tracking project progress and performance against the project plan. Change of control is used to track and manage changes to project requirements, while scope verification and control is used to assess and monitor for scope creep. The project manager calculates key performance indicators for cost and time to evaluate the degree of variance if any, and the team decides on corrective measures and next steps to keep the project on track. Consider why projects fail and how to avoid failure in order to avoid project failure?

During the project management monitoring stage, the manager is also in-charge of keeping a quantitative track of the effort and expense. This tracking is important not just for ensuring that the project stays on budget, but also for future initiatives.

Phase 5: Project closing

The project management process has reached its conclusion now. The project closure phase occurs after the final delivery and marks the end of the project. External talent is especially hired on a contract basis just for the project. The project manager is also in-charge of terminating these contracts and submitting the relevant paperwork.

The project team and stakeholders formally close the project during the closure phase. This phase entails completing a number of critical activities, including delivering the product, freeing up resources, rewarding team members, and formally terminating contractor employment or services. The project manager convenes a post-mortem meeting to assess what went well and what did not in terms of lessons learned. The project team can also go over a punch list to ensure that all deliverables, no matter how little, are completed. The PM creates the final budget report and project report at this time. All project documentation will be finalised, organised, and stored by the entire project team.

After the project is completed, most teams attend a reflection meeting to discuss their achievements and mistakes. This is a better way to ensure that the company is always improving in order to boost the team's total productivity in the future.

Managing project phases with Project Management tools

As crucial as assessing a project lifecycle is, properly managing a project entails putting in place a comprehensive solution. Project management software aids teams in successfully initiating, planning, and executing projects through a set of clearly defined expectations and goals. This allows teams to gain access to every stage of the project and allows the project manager to monitor and offer controls during execution. This comprehensive solution aids in the reduction of information silos and the promotion of workplace efficiency. The greatest project management softwares are listed below to assist organisations inappropriately phasing and completing projects:

Wrike
Mavenlink
Jira
Buildertrend
Procore

Conclusion

As discussed above, The Project Management Institute (PMI), which publishes the Project Management Body of Knowledge (PMBOK), notes that project phases make up a project lifecycle and that the phases should be tailored to the demands of the project. Identifying the components of a project lifecycle will aid in the completion of a project. The PMI created 5 phases of project management that can provide a high-level picture of a project and act as a roadmap for completing it.

A project, according to project management concepts, passes through various stages, each of which is defined by a separate collection of activities or tasks that carry the project from conception to completion. There are enormous projects and little initiatives, but they all have a budget, time, and resource limits. The 5 phases of the project management process will surely help the employees in future for the betterment of the organization.

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Oct

Top 10 Cyber Security Trends

iCert Global Agile and Scrum 0 2021-10-05 1177

Technology is rapidly advancing and transforming the way businesses work. Cloud computing, artificial intelligence (AI), automation, and the Internet of Things (IoT) are all emerging technologies that are giving businesses unprecedented opportunities to generate new value. This value, however, is not guaranteed. Organizations must negotiate a changing cyberthreat landscape as technology advances. In fact, it is anticipated that by 2020, the global cyber threat would have slowed the pace of technological innovation by USD 3 trillion in lost economic value. The most pressing ongoing cyber security concerns are a scarcity of qualified security staff, complex compliance requirements, the constant evolution of cyber attacks, and dangerous insider threats.

With the digital revolution sweeping the globe, all businesses, large and small, corporations, organisations, and even governments are relying on computerised systems to manage their day-to-day operations, making cyber security a top priority to protect data from online attacks and unauthorised access. As news of data breaches, ransomware, and hacking becomes the norm, constant development in technology necessitates a matching shift in cybersecurity practices.

The topic of cyber security, in particular, can be difficult to manage. Many firms' perspectives on cyber security have shifted as a result of the new remote-work-focused environment. Furthermore, many of the latest and future cybersecurity solutions are buried in technical specs and industry jargon while researching them.

Top 10 Cyber Security Trends to Watch For!

1. Integrating Artificial Intelligence and Cyber security

With AI being implemented across all market areas, this technology, together with machine learning, has resulted in significant improvements in cyber security. In the development of automated security systems, natural language processing, facial detection, and autonomous threat detection, AI has played a critical role. It's also being used to create smart malware and attacks to get around the most up-to-date data protection protocols. Artificial intelligence-enabled threat detection systems can predict new assaults and alert administrators to any data breaches immediately.

Artificial Intelligence (AI) will help under-resourced security teams stay ahead of the dangers as cyber attacks become more intense and frequent. AI delivers threat intelligence by evaluating huge amounts of risk data from structured and unstructured resources, lowering the time it takes for the security team to make crucial decisions and respond to the threat.

2. The New Target Is Mobile

In 2019, cyber security trends predict a significant increase (50 per cent) in mobile banking malware or attacks, making our mobile devices a target for hackers. Individuals are more at risk from all of our images, financial transactions, emails, and communications. In 2021, a smartphone virus or malware may attract the attention of cyber security trends.

With increased concerns about data management and security, data privacy is set to become a more major, defined discipline on its own, rather than just a part of compliance requirements. Data privacy affects practically every area of a business as a separate discipline, from co-directing corporate strategy to closely aligning with security, HR, governance, and procurement.

3. The Internet of Things and 5G Networks: A New Era of Technology and Risks

IoT with 5G networks is the next big cyber security trend for 2021. With 5G networks slated to launch globally in 2020, the Internet of Things will usher in a new era of interconnectivity (IoT). This communication across numerous devices exposes them to outside influence, attacks, or an unknown software defect, exposing them to vulnerabilities. Even Google Chrome, the world's most popular browser, was proven to have major problems. 5G design is still relatively new in the market, and it will take a lot of investigation to uncover flaws that will allow the system to be secure against external assault.

Every stage of the 5G network could result in a slew of network assaults that we are unaware of. To prevent data breaches, manufacturers must create sophisticated 5G hardware and software with extreme caution. The internet of things (IoT) refers to all internet-connected products and gadgets that make our life easier. Everything from smart speakers to thermostats (think Nest), watches, doorbells, lightbulbs, water metres, and manufacturing equipment is included in this category, and the list is constantly growing. These gadgets, despite their small size, convey a large amount of data. They also save data that you presumably don't want to give to anyone who can break into your network.

4. Edge of Secure Access Service (SASE)

The coronavirus epidemic has prompted a shift toward remote working, cloud usage, and online collaboration, and this trend is expected to continue. As a result, network security in enterprises is shifting away from LAN-based appliance models and toward cloud-native security service models, such as Secure Access Service Edge (SASE).

By routing the network traffic through a cloud-based security stack, SASE technology allows enterprises to secure their remote workforce and cloud applications.

5. Integration and Automation

Here's the next cyber security trend: as data grows in bulk every day, it's imperative that automation be implemented to provide more sophisticated management over the data. Professionals and engineers are under increasing pressure to produce rapid and effective solutions in today's demanding work environment, making automation more useful than ever.

To design more safe software in every element, security metrics are incorporated within the agile process. Large and complicated web applications are even more difficult to secure, making automation and cyber security a critical notion in the software development process.

6. Threats from Within

One of the most common causes of data breaches is human mistakes. A single bad day or purposeful loophole can bring a whole corporation down, resulting in millions of dollars in stolen data. Verizon's data breach report provides strategic insights into cyber security trends, revealing that workers were directly or indirectly responsible for 34% of all attacks. As a result, be sure to raise awareness among employees to ensure that data is protected in every way possible.

Unauthorized remote access, weak passwords, insecure networks, and the misuse of personal devices have left multinational firms unable to monitor or identify internal threats as a result of the extraordinary shift to remote work. These trends are projected to persist, if not accelerate, in 2021 and beyond.

7. Plans for Long-Distance Remote Working

Many firms hurried to put together emergency work from home strategies when the coronavirus outbreak broke out. There is now a trend toward more permanent work from home or flexible remote work arrangements.

When employees are dispersed across offices, states, and time zones, technology demands in terms of software, hardware, cyber security, and support appear different. Of course, technology is essential for businesses to stay connected, complete tasks, and provide support to their staff. More companies are rethinking their haphazard work from home programmes in favour of building long-term remote workplaces or hybrid remote work plans.

8. Access to a Network with Zero Trust (ZTNA)

Previously, IT departments used Virtual Private Networks (VPNs) to allow distant workers access to the corporate network. VPNs were tragically inadequate when COVID-19 forced practically all staff to work remotely.

Zero-Trust Network Access (ZTNA) has evolved as a more secure method of controlling remote access to certain apps for enterprises.

By 2020, ZTNA will be used to access 80 percent of new digital business apps, and by 2023, 60 percent of businesses will have switched from remote-access VPNs to ZTNA.

9. Detection and Response to Endpoints (EDR)

There are more devices, or endpoints, out in the field away from the office in a work-from-home economy. EDR focuses on securing and safeguarding individual devices deployed over an organization's virtual network, regardless of where they are situated, rather than protecting devices behind a firewall in a physical location.

EDR uses advanced technologies like artificial intelligence and machine learning to monitor the business's devices in real-time for unusual behaviour in order to detect cyber attacks, isolate infected workstations, alert administrators, and remove cyber threats. Before the entire business network is hacked, cyber security specialists may monitor alarms and quarantine individual devices using EDR.

10. MFA (Multi-Factor Authentication)

More businesses are transacting business online, from shopping and banking to acquiring solutions such as phone systems and cyber security services. When accessing information online, MFA adds an extra layer of security by authenticating your identity with a different touchpoint.

You're probably aware of the most common MFA scenario: you input your username and password, and then you must enter an extra code that's normally given through text message or email to your mobile device after your login information has been confirmed. This extra layer of protection helps prevent fraudulent people from gaining access to accounts and private information.

Conclusion

Organizations will be more afraid to stack their security measures in 2021 as a result of these cyber security trends. Organizations are likely to spend more than ever on asset protection this year, with estimates of $100 billion or more.

With infrastructure security playing such an important role in practically every firm today, it would be a wise decision to begin their cyber security education today in order to become specialists in the future. Cyber security specialists who are skilled and experienced are among the highest-paid in the IT business.

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Oct

What is Program Manager Vs Project Manager?

iCert Global Project Management 0 2021-10-04 1110

What is the difference between a program manager and a project manager? Imagine a program manager acting as a film director supervising the development of a feature film before yelling "Action!" until the last credits come out. Project managers, on the other hand, are like the film crew that carries out all the myriad tasks (camera work, lighting, set design) that are part of a movie.

Program managers take a long-term view of the company initiative and plan the implementation of an overview. Project managers, on the other hand, assume myopia and focus on performing specific activities that propel a program forward.

In the end, the coordinated efforts of program managers and project managers come together in the business equivalent of a blockbuster movie - a hit show.

The bond between Program and Project

Projects include short-term tasks that focus on the production of specific services, such as a product or service. However, the projects fit the bigger picture. They build upon each other to achieve the ongoing, long-term goals or objectives of a particular program.

Programs consist of coordinated projects aimed at achieving a business objective and creating significant benefit for an organization. The success of a project or program depends on the skills and knowledge of capable program and project managers. By working together, both types of managers help projects support the goals of organizational programs.

For example, a company that wants to improve its efficiency can start a program to digitize its processes. This requires multiple projects, such as a project to migrate the company's accounting work to a digitized system and a project to develop a digitized inventory tracking system.

Project Vs. Program

To fully understand the difference between a program manager and a project manager, it is important to first understand the difference between a project and a program. In short, projects are temporary and programs are underlying strategies. However, there are some other important differences and similarities that you should be aware of.

An easy way to conceptualize the two is to take into account the fact that existing programs are made up of multiple projects. This means that each project has specific objectives that make up the broader objectives of the program. While the projects have clear timelines and outcomes, the programs are long-term business goals with multiple dependencies.

While there are many differences between the two, they do share some similarities. Both a project and a program have four components: size, difficulty, relationships, and uncertainty. The difference is the level of complexity. Projects tend to be smaller and have less uncertainty, while programs tend to be larger, have many complex interdepartmental relationships, and involve more uncertainty.

Differences between Project and Program Manager

Work of a Project Manager

Project managers lead specific incremental projects in a program. Start by drawing a "roadmap" for the project that details the project tasks and the timeframe in which team members will complete them. Well-planned roadmaps coordinate the diverse skills of team members to serve cross-functional purposes.
Project managers organize the resources needed to complete project tasks and ensure that all work conforms to schedule guidelines. They also guide their team members through the implementation of each phase of the project.
As the project progresses, project managers monitor bottlenecks and help resolve them to avoid delays. For example, if they discover that inadequate network infrastructure is slowing down their team's progress, they look for ways to fix the problem.
Additionally, project managers track their project contributions relative to their costs. They then share this information with program managers along with tracking schedules, budgets, risks, and resource usage.
Successful project managers provide high-quality, low-cost products or services that promote corporate programs.

Work of a Program Manager

Program managers define programs and their goals and measure how those goals affect their organization. They then develop strategies to implement the defined goals of the program. This involves identifying and monitoring a wide variety of projects structured to achieve the objectives of the program.
When planning a program, program managers envision how it can support the long-term growth of an organization. They develop roadmaps that outline schedules and budgets, and anticipate dependencies that create roadblocks. However, instead of displaying the details of a single project, these roadmaps record the details of multiple projects.
Although they do not directly supervise individual projects, program managers are responsible for their success. To do this, they identify the practices that best serve the project and develop strategies to streamline organizational processes. For example, you will eliminate unnecessary tasks and perhaps introduce project management software that improves efficiency. Typically, program managers also negotiate contracts with clients.
Based on the information that project managers report to them, program managers evaluate the performance and usefulness of a program in terms of the overall objectives of a company in relation to the investments of the organization.
Program managers have great perspectives. For example, instead of focusing on a single project, consider how a range of products builds your company's brand. From their broad perspective, program managers keep track of how individual efforts align with corporate goals.

Examples for Program Manager Job Positions

HR Manager
IT Program Manager

Examples for Project Manager Job Positions

Software Development Manager

Skills of Program Vs. Project Manager

Skills of Program Manager

Resource Management - To structure ongoing multi-project programs, program managers need superior skills in identifying and allocating resources. This includes developing contingency plans, as well as plans that address risks and costs.
Knowledge of Appropriate tools and Techniques - Program managers need tools and techniques to support them throughout the life cycle of a program. These includes:

Change management: Manage people through a change initiative.
Milestone Mapping: Identify the appropriate milestone markers that best indicate that work is progressing as planned.
Process planning: define the sequence of operations or steps that must be performed to complete a program.

Negotiation Skills - Getting a program off the ground requires excellent negotiation skills and the ability to convince others of the value of your vision. Program managers need to sell their ideas and influence others to get what they need for their programs.
Analytical Skills - Programs generate large amounts of data. Program managers must efficiently collect and integrate statistical, financial, and other information to run their programs successfully. This requires excellent analytical skills.

Skills for Project Manager

Leadership Skills - Leadership skills help turn project plans into reality. These skills allow project managers to identify people's strengths and weaknesses so that they can assign tasks appropriately. Leadership skills also help program managers and project managers gather and motivate team members throughout the project.
Organizational Skills - Projects require versatile planning, which is why project managers need superior organizational skills.

They help with:

Track progress effectively

Accurately predict time and budget needs

Document project metrics (indicators that track progress)

Coordinate with team members

Communication Skills - Communication skills play a key role in building collaborative relationships with team members and keeping lines of communication open with program managers. They also help identify and fix problems, and then get team members back on track to meet deadlines.
Risk Management and Contingency Skills - To move projects forward despite challenges, project managers need risk and contingency management skills. These skills help project managers prepare for and avoid potential problems that can cause projects to fail.

Common differences between Project and Program Manager

Program and project managers perform similar tasks, such as: budget planning and team leadership. However, the scope of these tasks varies. Project managers have a narrow focus and make sure only limited results are obtained. On the other hand, program managers also serve as architects who plan and oversee the larger output of multiple projects and make sure they come together to achieve business growth. His role goes beyond managing individual projects and extends to achieving long-term business growth.

A program manager in charge of a program that expands a company's customer base first envisions a collection of projects that will best appeal to potential customers. The program manager then designs a rollout of these projects, making sure they build on each other to have the greatest impact and generate the most leads.

Conclusion

In general, you will need many different roles to be an effective project manager or program manager. You are responsible for what all team members accomplish and you are equally responsible for following the process and ensuring that the client is satisfied with the result. Regardless of the type of project or overall program you are running, the goal is to bring everyone together as a unit and a single team to achieve the goal. With the right software and the right strategies, it is possible.

If you are pursuing a career as a program manager or project manager, the best way to work on the skills we mentioned and improve yourself in your team. Becoming a leader, even without the title, can be a good place to start and show those in higher positions that you are ready to take responsibility. From there, make sure you are performing each of your tasks to the best of your knowledge, and encourage the use of effective tools and task managers to keep track of everything that needs to be done. With the right tools to support your process, you can absolutely become a better program or project manager.

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Oct

Scrum Master Roles and Responsibilities

iCert Global Agile and Scrum 0 2021-10-01 2337

In this blog we cover the typical tasks, responsibilities, skills, problems, qualities, and benefits of the Scrum Master role in Scrum.

What is a scrum master?

Scrum Master is often the term used for this role, even by teams that do not explicitly follow Scrum. Other terms that are rarely used are iteration manager, agile coach, or team coach. The Scrum Master cleverly removes obstacles and distractions that could prevent the team from achieving its goals. This person is the connection between the Scrum Team and the people or teams outside of the Scrum Team. The Scrum Master is a service leader for the Scrum Team who helps the Scrum Team and its environment work together and interact to maximize the value delivered by the Scrum Team. Article - Scrum master roles and responsibilities will give you a brief knowledge about how Scrum Master works. Scrum Master is also responsible for helping people to understand Scrum theory, its practices, rules and values.

Imagesource - https://www.lucidchart.com/blog/scrum-master-skills-and-responsibilities

Skills defined for scrum master -

While there are no officially defined skill levels for Scrum Masters, there are different levels of experience in practice:

Rotating scrum master - Members of a team rotate Scrum Master responsibilities (primarily administrative) among themselves on a sprint-by-sprint basis.
Part time scrum master - In addition to other tasks on the same team, one person on the team assumes the Scrum Master tasks.
Full time scrum master - The sole responsibility of an individual is to be a Scrum Master at one time or another. This model is the best for a team that is learning agilely.
Full time scrum master with more than one team - This model is often used when a person's only responsibility is to be a Scrum Master, but they are working with more than one team.
Agile Coach - A person does not have a specially assigned team, but works with several teams and only on certain needs.

Benefits as a scrum master

The overall benefit one expects from a Scrum Master in a team is to provide a self-organizing team with constant access to someone who has used Agile and especially Scrum in a different environment and can help the team find the best way to apply it. in your situation.

Another expected benefit is that the Scrum Master is someone who can address distractions, interruptions, and obstacles so that the rest of the team can focus on work to produce results that produce the desired result.

Common problems as a scrum master

While there are several advantages to being a Scrum Master, several problems arise from improper use of the role. These problems include:

Suppose you can only slide project managers that are used to command and control the guide guide guide in a scrum Master role and expect it to be effective.
Asking someone to fill the role of Scrum Master with no experience in an agile environment.
Expect a Scrum Master's workload to be the same across teams, regardless of how long they have worked as a team, how they understand Agile values and principles, and what domain expertise they have.
A well-functioning team will likely need much less training from a Scrum Master than a team that is new to working with Agile values and principles.

7 Key scrum master’s responsibilities

Despite the word "Master" in the title, the Scrum Master is not responsible for the project or the development team. Instead, a scrum masterpiece works with the product owner and the scrum team to refine and improve processes where it makes sense.

A Scrum Master role may include, but is not limited to, the following responsibilities.

Teach Scrum practices and principles - To ensure that the work does not decrease the speed, an important role of Scrum Master is a mentor and a teacher to provide new employees and new team members. As a teacher, Scrum Manager helps new team members understand the scope and vision of a product and ensures that team members understand Scrum theory and adhere to Scrum rules and practices. The Scrum Master teaches the team to organize and stay focused.

Scrum Master qualifications do not include personnel management. Furthermore, the Scrum Master is not individually responsible for the results of the project; Instead, the scrum team as a whole is responsible for the results. The Scrum Master has the authority to ensure that the team implements and adheres to the Scrum values, principles, and practices. Whenever they are lacking as a teacher, the Scrum Master will help them understand the scope and vision and adhere to Scrum rules and practices.

Host daily stand-up meetings - Daily scrum or standup meetings last no more than 15 minutes and allow each team member to answer these questions:

What will you do today?
What is hindering your progress?
What did you do yesterday?

Team members can be asked to estimate how long they will need to complete certain tasks. The Scrum Master moderates this meeting, tracks the team's progress, and takes note of obstacles that could prevent the team from completing tasks.

The Scrum Master ensures that all team members, including those who work remotely, can attend and participate in the daily meeting. They also make sure the meeting stays focused and ends on time.

Remove roadblocks - To help the team focus on the tasks that need to be accomplished during each iteration, the Scrum Master looks for distractions and obstacles that may hinder progress. For example, if team members are involved in too many unimportant meetings, the Scrum Master can work with the meeting organizers to determine who should attend the meetings.

Or if a team member is drawn in too many directions and tasks are assigned to multiple teams, the Scrum Master can work with Product Owners and other stakeholders to redistribute the workload.

Again, there could be internal disagreements in the team about their individual work styles or disagreements about the Scrum process itself. The Scrum Master can have a one-on-one interaction with members of the development team to understand the same and resolve such conflicts before they turn into full-blown disagreements.

Coach team members - The Scrum Master ensures that team members are well trained and understand agile processes. The Scrum Master also ensures that team members know their respective roles, that they have a sense of responsibility for the project, that processes are followed, and that teams are self-managed.
Assist the product owner with the product backlog - The product owner is responsible for creating and maintaining the product backlog. The Product Backlog is a list of the work that the team must do. The Scrum Master helps the Product Owner to refine and maintain the Product Backlog with information from daily meetings. The product backlog is a live document that changes based on current status and development needs. The Scrum Master can help with the Product Backlog by planning meetings and writing user stories.
Keep all parties on track and informed:- The Scrum Master conducts daily team meetings to learn about the project's progress, resolve potential obstacles, and make sure the project is on track. They also hold regular meetings to share with product stakeholders about the project's progress (or not). Ultimately, it is the job of a Scrum Master to make sure the team is on schedule with the desired outcome.
Protect the team from outside interference - The Scrum Master acts as a protector and assists the team by shielding it from outside interference that gets in the way of realizing business value during each sprint.

Interference can come from many sources; for example, by managers who want to divert team members in the middle of a sprint. Regardless of the source of the interruption, the Scrum Master acts as an interceptor and solves the problem amicably.

This role includes more scrum master’s responsibilities like:-

Overcoming obstacles
Protect the team from external disturbances and distractions.
Ensuring a good relationship between the team and the product owner and others outside the team.
Create an environment in which the team can be effective.
Dynamic team management.

Do you want to pursue your career as a scrum master?

Typically, most Scrum Masters skill job descriptions require applicants to have at least a bachelor's degree in computer science or a related field to become a Scrum Master. Also, you need some experience as an agile software developer. One of the most important Scrum Master skills you will need is communication.

As part of your Scrum Master roles, you will be the primary communicator between project owners and other key stakeholders.

If you do not have good oral and written communication skills, or if you feel uncomfortable interacting with One-on-One or in groups, this may not be the job for you.

Earning a Scrum Master’s certification can increase your chances of landing a higher paying job as it confirms that you have the right skills.

Scrum master’s certification programme

There are also a number of other Scrum certification programs that may interest you, including:

Scrum Developer
Scrum Coach
Scrum Trainer
Scrum Professional
Scrum Product owner

A Scrum Masters certification in any of these disciplines can boost your career and mean significant salary increases. The possibilities are open.

Qualities of a scrum master

Observant:- The Scrum Master is not a manager, but a team member and a moderator. They must be good listeners and be aware of the challenges the project team faces at every step. The Scrum Master must also be alert and aware of the daily activities of the team to have a clear view of the roles and contributions of the members in the sprint sessions.
Collaborative - The Scrum Master forms an essential link between the product owner and the project team. While the Product Owner drives the overall initiative, the Scrum Master maintains the team. An effective collaboration between Scrum Master and Product Owner ultimately leads to successful products that meet the organization's requirements. A good Scrum Master should be able to find creative ways to increase organization, collaboration, and productivity to deliver the product that the business unit owner has requested.
Influential - A Scrum Master leads different teams working on a project to achieve certain milestones and results. He must be able to motivate multiple groups and stakeholders at the organizational level and maximize the potential of everyone involved. As a team leader, the Scrum Master must bridge the gap between the project concept and the steps required to complete it. The Scrum Master must have strong organizational and leadership skills.
Knowledgeable - In addition to solving problems and problems that arise, the Scrum Master must also proactively prevent potential problems. This requires a thorough knowledge of the product and the process. The Scrum Master's experience allows the team to avoid obstacles. The Scrum Master must have knowledge of various agile work formats and methods such as XP, Lean, and Kanban.
Transparent - Last but not least, the Scrum Master must be transparent in all forms of communication. There should be no hidden intentions when working with team members; What you see and hear from the Scrum Master has to be what you get. People expect no less from a leader in service.

The Scrum Master also promotes transparent communication outside of the Scrum team. Without transparency, it is difficult for the organization to use Scrum to review and adjust the desired business results.

Different tasks for a Scrum Master

Organizations often find a way to implement the Scrum Master role and therefore there are many types of Scrum Masters. There are Scrum Masters who mainly focus on the development team and support them during Scrum events and in their work. This is often the result of implementing the Scrum Master role as a part-time role. In other organizations, Scrum Masters act more like agile change agents who change the organization, advise top management, and implement change.

The following list is not complete, but some typical scrum masters tasks include:

Employee training and workshop moderation to gain a better understanding and better application of the Scrum framework.
Support, training, coaching and support of the product owner, the development team and the organization if it is necessary or demanded to continually improve and become more self-organized.
Moderation of Scrum events if required or requested by the Scrum team.
Prepare and carry out the Sprint Retrospective by collecting data and observations during the Sprint.
Train stakeholders (including clients, Clevel, top management, and other stakeholders) on agility and understanding of the Scrum framework to effectively interact with the Scrum team; and,
Solve obstacles if necessary and / or teach the Scrum team how to solve obstacles themselves.

Traits of the Scrum Master

Empathy:- Being able to feel what is happening in a group of people is critical to the success of Scrum Masters. The most valuable things are often said between the lines or can be gleaned from non-verbal communication. This is often used for the Scrum Master to train and train people to maximize the value of Scrum.
Courage:- There are many important skills and traits for Scrum Masters, but if you make it to the top three, you must have "courage." As explained in the "Skills" section, the Scrum Master is a servant leader. Many organizations are "damaged" in some way. In many organizations, people are afraid to speak up, make mistakes and, for example, take responsibility. The Scrum Master as a leader plays an important role in showing people the courage to follow him and act boldly.
Openness:- Transparency, necessary for review and adjustment, is one of the pillars of Scrum. Openness is an extremely important value in Scrum. Both are critical to the success of Scrum. However, for many people it is terrifying to be completely open and transparent. Therefore, the Scrum Master must be open and honest and be an example to follow for others.

Wrapping up

As a reminder: the Scrum methodology is a subset of agile software development, in which a development team sets goals to provide new software features and functions in clearly defined iterative cycles. Each iteration delivers small but significant parts of an overall project every two to four weeks. Whether you're interested in becoming a Scrum Master or want to make sure you establish best practices in your Scrum team, learn about these important Scrum Master skills and responsibilities that come with the job. This Scrum Master role is responsible for ensuring that the project runs smoothly within the guidelines of the Scrum methodology. By implementing these tips and working through the requirements, you are on your way to becoming the master of your scrum.

“Scrum master roles and responsibilities” - this elaborated article will help you to grow in your organization and will help you to learn more about teamwork and team management.

The Scrum Framework consists of three roles, the Product Owner, the Scrum Master, and the Development Team. Together they make up the Scrum team. This elaborated article titled Scrum master roles and responsibilities will help you to grow in a professional manner.

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Sep

10 Best Project Management Tools to Manage Projects

iCert Global Project Management 0 2021-09-30 1268

The project manager's answer to project management is project management tools. Simple projects only require a checklist, however more complex projects necessitate adequate planning, task assignment, deadline setting, ensuring that everyone adheres to them, and time tracking.

Quantifying, objectifying, segregating, and delegating work appropriately and proportionately is critical, and this is where current tools come in. There are a lot of project management software solutions out there, and if you're new to project management, it can be difficult to figure out what's important, what's useful, and what's not.

The process of initiating, planning, executing, and closing tasks to meet the project's goal is known as project management. The term "project management" refers to the process of overseeing project activities such as the use of advanced tools and new approaches, a wide range of talents, and the involvement of specialists with application knowledge. All of these activities result in meeting the project's requirements.

Employing Project Management Applications or Software to be able to manage the Project Management System smoothly, effectively, and efficiently is the biggest task. Such tools can be used to maintain track of project activities such as which task is assigned to which resource/team member, which phase of the project is completed and when it is completed, and so on.

One must examine the following criteria when choosing Project Management Software for a project.

The project's duration
the number of persons involved in the project
The amount of money that will be spent on the tool
Storage The software tool's capacity
PM Email communication, file sharing, tracking, and more features are offered.
Usability

10 Best Project Management Tools to Manage Projects

1. Asana

Asana is a collaborative project management software as a service (SaaS). Workflows can be used to automate repeating tasks. It's user-friendly, with a variety of task displays and the ability to add custom fields and forms. You can also invite an unlimited number of guests. It's also possible to create custom rules and approval workflows.

While Asana has a lot to offer in terms of efficiency and collaboration, many of the fundamental project management features are handled through integrations, which may not be optimal for many users. It's suitable for all types of enterprises, but not for freelancers. Although some users believe Asana's design is extremely simplistic and the system is too strict, it does offer powerful task management and communication tools.

Costs Involved: A free plan for up to 15 users is available. You can view tasks as lists, on a calendar, or on a Kanban board to manage them. Timelines, reports, custom fields, automation rules, and more are included in their Premium plan, which costs $10.99 per month per user. Approvals, portfolios, rule builders, workload, and advanced integrations are all available in the Business plan, which is not available in the other plans. When paid annually, it costs $24.99 per user per month.

2. Zoho Projects

Zoho Projects is a popular project management software from Zoho product that allows businesses to keep track of tasks, collaborate, track bugs, and generate easy reports. Gantt charts and the ability to billable hours on numerous projects at the same time are among the tools available.

Zoho Projects also has a robust set of communication capabilities, including real-time chat and discussion forums. Zoho Projects, which is part of a larger suite of productivity tools from the same firm, includes nearly all of the basic features you'd expect from a project management app at an especially low price.

However, many users complain that the Gantt charts are difficult to use and that the reporting breakdown is insufficient for large teams. From within the tool, you can share documents. Every project's worth is determined by its planning. Project planning with Zoho Projects software takes less time, allowing you to focus on real-time work the rest of the time. The Zoho Projects software has an online forum where team members can communicate even if they are geographically apart.

Costs Involved: When it comes to subscription plans, Zoho offers numerous options (All monthly plans are per user.):

There is a perpetually free version with limited features and users.
Custom statuses and problem tracking are included in the $3 Standard plan. It can accommodate up to ten users.
The Express plan costs $4 per month and allows for up to 50 users. Recurring tasks, Gantt charts, and timesheet approvals are all included.
The Premium plan costs $5 per month and allows for up to 100 members. Task automation, business rules, resource use, and budgeting are all included.

3. Wrike

Wrike is a cloud-based project management programme that makes project planning simple, allows you to track your team's progress, keep track of deadlines, and engage with all stakeholders with ease. Task management, Gantt Charts, a real-time newsfeed, and more advanced capabilities are available. You can prioritise jobs to ensure that the most important tasks are completed first and that deadlines are met. There are numerous integration options, making it a versatile project management tool.

For most novice users, the sheer quantity of features can be intimidating, and the unintuitive UI doesn't help matters. It's perfect for a variety of internal teams, including marketing, software development, and professional services.

Wrike is a good option. Standard project management tools such as Gantt charts, informative dashboards, and a robust reporting suite are built-in, and getting up and running on a small to medium-sized project can be done quickly without having to learn all the ins and outs of a new, complicated system.

Costs Involved: A freemium version with restricted features and up to five users is available. Paid plans begin at $9.80 per user per month. A Business plan is available for $24.80 per user per month. Subtasks, Gantt charts, time tracking, and workflows are all supported.

4. Monday.com

Monday.com is an intuitive, easy project management software that combines a visually appealing UI with essential project visualisation tools. It's adaptable and clear in how it organises your work. On top of that, there are project templates from which you can create your own boards. There are several display possibilities, including a map view and a calendar view.

It is used by over 100,000 companies to handle everything from marketing campaigns to product development to complicated building projects.

Transform information into action: Increase transparency across your organisation by making your data accessible to anyone.
Integrations that are seamless: More than 40 of your favourite services can be integrated.
Automation of processes: Allow your team to focus on the vital things instead of wasting time on tedious operations.
Collaboration in a small group: There are no email chains, group texts, or approvals to wait for.
Dashboards: Get critical insights and metrics for many boards in one location, and visualise the data that matters most to you.

The lack of recurring activities is a typical source of consumer frustration. For certain people, navigating the mobile app is difficult. They also provide excellent security, a wide range of functions, and simple customization.

Costs Involved: The pricing structure is excessively complex. There is no freemium plan, so you'll have to spend time every month figuring out how many users, automation, and integration activities you'll need. Paid plans for five users start at $39 per month.

5. ProofHub

If you want to make project management and team collaboration easier for small business marketing and creative teams, Proofhub is the way to go. It features everything you'll need to efficiently manage your marketing initiatives, including everything you'll need to keep track of every detail and see what your team is working on in real-time. Leading companies such as Netflix, TripAdvisor, Nike, and others use Proofhub.

Task lists, processes, Gantt charts, discussions, calendars, and documents are all consolidated in ProofHub. It allows you to plan, manage, and track the tasks of your team. It also facilitates collaboration between teams and with external clients. There are other reports available, such as workload and resource reports.

One of the most appealing aspects of adopting ProofHub as a project management system is its user-friendly interface, which requires little to no training. It means you can navigate ProofHub and make the best use of all of its features without needing any specialised knowledge. ProofHub features a small number of integrations and task management options due to its focus on simplicity. It's suitable for both freelancers and small and medium-sized organisations.

Costs Involved: ProofHub has no limit on the number of users and charges a flat rate regardless of that number. There are two plans available: the Essential plan is $50 per month, and the Ultimate Control plan is $99 per month.

6. Clarizen

Clarizen is a well-reviewed online project management tool for mid-to-large-sized enterprises. Because the system is only for web-based project management, the lack of a mobile app may limit the system's utility for some teams. The sophisticated reporting capabilities and ability to track resource utilisation are popular among users, although it lacks a to-do list and time tracking.

Clarizen One's ability to custom build or change OOTB functionality has considerably benefited in producing a system that is tailored to your specific needs while still operating inside a complete framework.

Because it has specialised ways of organising workflows, the learning curve is a little steep. Clarizen is best for enterprise-level project managers, IT organisations, and professional services teams who need strong, versatile, and intuitive web-based project management software.

Costs Involved: Pricing is not published but can be obtained upon request.

7. Airtable

Airtable combines the greatest capabilities of spreadsheets and databases in one application. It's adaptable and simple to use, and it's suitable for businesses of all sizes. It lacks extensive reporting capabilities, which may be an issue for some users.

You can utilise the database to store information for task management and project planning. Many customers appreciate the flexibility of data arrangement that Airtable's spreadsheets provide. There are several views available, including Kanban, list, grid, and calendar.

Airtable is a flexible and dynamic Work Management Solution that can be used for a variety of tasks. Airtable will feel like a natural fit if you're used to spreadsheet-based applications like Microsoft Excel or Google Sheets. Airtable may help you and your team with the following tasks, as this Airtable review demonstrates:

Project Plans: Organize and Manage
Execute Task Management That Is Repetitive
Assign Resources to Tasks
Using Templates to Create Projects
Budgeting for Projects
With powerful integrations, you can make file sharing and workflow management easier.

Costs Involved: Airtable offers a free plan with basic capabilities like rich field types, multiple views, and collaboration. Paid options start at $10 per user per month for businesses with more data storage needs. Advanced features like custom branded forms, customizable views, and domain limited sharing are available in their Pro plan.

8. Kanban Tool

The Kanban Tool is a good place to start if you're new to agile development. It provides a visual representation of your process as well as time-tracking capabilities. Notifications, reporting, and team management capabilities make communication and task tracking simple.

Reporting, document sharing, a native mobile app, and other capabilities make it excellent for medium and big businesses. The Kanban application also allows enterprise users to host the software on their own servers.

Costs Involved: It isn't intended for freelancers, although there is a free plan that supports two project boards and allows up to two users. Paid subscriptions begin at $5 per user per month and include unlimited boards. Enterprises can get sophisticated capabilities like time monitoring, reporting, user management, and process automation for $9 per user each month.

9. Workzone

Your project dashboard gives you access to all of your projects and allows you to conveniently check their status. When you open a project, you'll see subtasks, due dates, and assignees right away. To remain on top of things, you'll also receive handy notifications when deadlines approach. Workzone focuses on functionality rather than frills.

Workzone makes it simple for members of your project team to contribute by including a remark section under each assignment. All of your interactions will be carefully organised and placed where they are most relevant as a result of this.

Users, on the other hand, have complained that mobile applications are in need of improvement, that they lack features such as assigned comments and numerous views, and that the user interface is outdated.

Costs Involved: Workzone provides you with Two options. Team ($24/month per user): Includes a plethora of features as well as 100GB of cloud storage for uploads. Professional ($34/month per user) includes all "Team" features as well as 150GB of cloud storage for uploads.

10. ServiceNow ITBM

According to the Forrester Wave research, ServiceNow IT Business Management (ITBM) is a prominent strategic portfolio management product with significant project management features. It includes tools for planning and scheduling development efforts, resource management based on project priorities, and job tracking. In addition, ServiceNow ITBM allows you to track project expenditures and provides statistics for a high-level project and portfolio management.

A firm can increase the performance of project management, demand management, and programmes while balancing resource availability with ServiceNow (ITBM). ServiceNow's ITBM combines features ranging from cost transparency to project portfolio management. Businesses can use ServiceNow ITBM solutions to increase the visibility of business services and create cost savings by leveraging data and analytic metrics. When a company is attempting to handle demands or projects such as Agile, Waterfall, or Scrum, these functions are required.

Costs Involved: ServiceNow ITBM aids in the reduction of project costs, the acceleration of development processes, and the better alignment of IT with business goals.

These were the 10 best tools to manage projects without any hurdles.

Conclusion

Each of these programmes has its own set of benefits and will be able to help you fill in the gaps in your career. Because not every business is best served by a standard project management system, industry-specific project management systems have been developed to lessen the amount of customisation required after adoption. Construction, software development, financial services, healthcare, and law all have features and adaptations that make them more industry-friendly.

Collaboration tools, expenditure monitoring, portfolio management, contractor management, resource management, and other industry-specific solutions are available. These tools might also come in handy if you're managing a creative team, a remote team, or a specific project inside your bigger portfolio.

Large teams managing a number of concurrent, complex projects may need to track each one separately while still being able to report and assess their progress. Companies can use project portfolio management software to handle several projects within one or more portfolios. With each project, project managers and stakeholders can get a high-level perspective of progress, immediately identify bottlenecks, and dive down into trouble areas. These tools are also useful for allocating team resources and tracking expenses across many project deadlines, as they can demonstrate where slack can be filled by others.

It cannot be stressed that ease of use is not an optional feature when it comes to project management software – it is a need! Team members will become upset and struggle if project tools are not straightforward and intuitive to use. They may even explore ways to avoid utilising some project tools entirely, not because they want to breach the rules, but because they need to stay productive and fulfil deadlines. Ease of use is critical regardless of the context or application – IT project management tools, marketing project management tools, engineering project management tools, and so on.

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Sep

Importance of Machine Learning for Data Scientists

iCert Global Emerging Technology 0 2021-09-29 1605

Machine Learning, Artificial Intelligence (AI), and Big Data are all concepts that have been around for a long time. However, the capacity to apply algorithms and mathematical calculations to massive data has only lately gained traction. The most important aspect of artificial intelligence is machine learning. Without clear programming, it causes computers to enter a self-learning state. When fresh data is served by machine learning, these computers learn, grow, change, and develop on their own.

Machine Learning is the most intriguing subject in recent times, and it has been around for quite some time. However, the ability to perform mathematical calculations to large amounts of data frequently and fast is currently ahead of the curve. Machine learning is now being used in applications such as the self-driving Google car, Facebook friend recommendations, online recommendation engines, Amazon offer suggestions, and cyber fraud detection.

Artificial intelligence's fundamental subfield is machine learning. It allows computers to enter a self-learning state without having to be explicitly programmed. These computers learn, grow, adapt, and develop on their own when given fresh data. Data science is a broad, interdisciplinary field that makes use of the vast amounts of data and processing power at its disposal to generate insights. Machine learning is one of the most interesting tools in modern data science. Machine learning allows computers to learn on their own from the vast amounts of data accessible.

These technologies have a wide range of applications, but they are not limitless. Though data science is strong, it can only be used effectively if you have highly trained workers and high-quality data.

Importance of machine learning

Machine Learning is becoming increasingly popular across many industries. High-value forecasts that can lead better judgments and smart actions in real-time without human intervention are one of the main reasons why data scientists require machine learning. Furthermore, machine learning technology aids in the automated analysis of enormous amounts of data, easing the responsibilities of data scientists, and is acquiring a lot of relevance and attention. By involving automatic sets of general methods that have superseded old arithmetical techniques, ML has the potential to transform the way extraction and comprehension work.

Simply said, everyone contributes to Machine Learning through their everyday online interactions. Whether you're looking for a coffee maker on Amazon, "best tips to lose weight" on Google, or "friends" on Facebook, you're seeing Machine Learning in action. It is thanks to Machine Learning that Google, Amazon, and Facebook can provide users with relevant recommendations. With the use of machine learning technology, these corporations can keep track of your daily activities, search habits, and purchase preferences.

With evolution comes an increase in demand and significance. ‘High-value forecasts that can drive better judgments and smart actions in real-time without human interaction,' is one key reason why data scientists need machine learning. Machine learning is getting a lot of traction and recognition as a technology that helps evaluate vast amounts of data and automates the jobs of data scientists. By involving automatic sets of generic approaches that have superseded traditional statistical techniques, machine learning has transformed the way data extraction and interpretation works.

Machine learning is being used in a variety of fields. Allowing a machine learning algorithm to make decisions can be a cost-effective solution to a variety of issues. The use of these approaches in businesses such as financing, hiring, and medical raises serious ethical questions. These algorithms add social biases into their outcomes since they are trained on data generated by people. These biases may be disguised because machine learning algorithms work without explicit guidelines. Currently, certain machine learning algorithms are a "black box." Google is working on improving our understanding of how neural networks "think."

However, before it can solve data bias and other ethical challenges with machine learning, this research may need to go further. When it comes to data science and machine learning, where do they meet? Machine learning is one of the many tools at a data scientist's disposal. A professional data scientist who can organise data and apply the appropriate tools to properly utilise the numbers is required to make machine learning work.

How much is machine learning changing the data analysis landscape?

The experimental and error approach of data analysis has traditionally been used – a method that becomes impractical to apply when dealing with large and diverse data sets. Big data was evaluated for promotion precisely for this reason. The difficulty of bringing in new analytical models that work precisely is directly proportionate to the availability of more data. Static analysis, which is limited to the examination of samples that are solid in time, is more important in traditional statistical solutions.

Enough of this could lead to shaky and imprecise findings. Machine learning is capable of providing precise findings and analysis by generating efficient and fast algorithms and data-driven models for real-time data processing.

How did data science become so popular in the machine learning world?

Machine learning and data science are inextricably linked. Machine learning is defined as a machine's ability to extract knowledge from data. Machines can't learn much if they don't have any data. If anything, the growing use of machine learning in a variety of industries will act as a catalyst for data science to grow dramatically. Machine learning is one of the best because of the data provided and the algorithms' ability to ingest it. Data scientists will be expected to have a basic understanding of machine learning.

There's no shortage of exciting stuff to do in data science, from shiny new algorithms to toss at data. What it lacks, though, is an understanding of why things operate and how to tackle non-standard situations, which is where machine learning comes in.

What is the definition of Data Science?

Data science is an interdisciplinary approach to obtaining useful insights from today's organisations' massive and ever-increasing volumes of data. Preparing data for analysis and processing, undertaking advanced data analysis, and presenting the results to expose trends and allow stakeholders to make educated decisions are all part of data science. Cleaning, aggregating, and modifying data to prepare it for specific sorts of processing are all examples of data preparation. Analysis necessitates the creation and application of algorithms, analytics, and AI models.

It's powered by software that sifts through data in search of patterns, then converts those patterns into forecasts to aid commercial decision-making. These forecasts' accuracy must be confirmed by carefully prepared tests and experiments. And the findings should be disseminated through the effective use of data visualisation tools that allow anyone to detect patterns and recognise trends. There is no limit to the number or types of businesses that could benefit from the opportunities created by data science. Data-driven optimization can make virtually any company process more efficient, and greater targeting and customisation can improve nearly any form of customer experience (CX).

Who are Data Scientists?

Big data wranglers, data scientists acquire and analyse enormous sets of organised and unstructured data. A data scientist's job entails a mix of computer science, statistics, and math. They interpret the outcomes of data analysis, processing, and modelling to generate actionable plans for businesses and other organisations. Data scientists are analytic professionals that use their knowledge of technology and social science to identify patterns and handle data. They identify solutions to corporate difficulties by combining industry knowledge, contextual insight, and scepticism of established assumptions.

A data scientist's job entails deciphering jumbled, unstructured data from sources like smart devices, social media feeds, and emails that don't fit neatly into a database.Data scientists (as data scientists are known) require computer science and pure science skills in addition to those required of a standard data analyst. The following skills are required of a data scientist:

Use mathematics, statistics, and the scientific method to solve problems.
For reviewing and preparing data, use a variety of tools and approaches, ranging from SQL to data mining to data integration methodologies.
Predictive analytics and artificial intelligence (AI), including machine learning and deep learning models, are used to extract insights from data.
Create software to automate data processing and calculations.
Tell—and illustrate—stories that effectively communicate the meaning of results to decision-makers and stakeholders at all levels of technical expertise.
Explain how these findings can be applied to business issues.

Data Analyst and Data Scientist: Differences and Similarities

A bachelor's degree in a quantitative discipline such as mathematics, computer science, or statistics is required for both career routes. A data analyst may devote more time to routine analysis and report generation. The method data is kept, handled, and evaluated can be designed by a data scientist. Simply defined, a data analyst interprets current data, whereas a data scientist develops new methods for acquiring and analysing data that analysts can use.

Both paths could be a good fit for your career ambitions if you enjoy numbers and statistics as well as computer programming. An analyst's job is to answer specific questions concerning the company's operations. A data scientist might work on a larger scale to come up with innovative approaches to ask and answer crucial questions.

Despite the fact that each function is focused on evaluating data to get actionable insights, the tools they utilise can sometimes define them. It assists data analysts in mastering relational database software, business intelligence tools, and statistical software. Python, Java, and machine learning are commonly used by data scientists to modify and analyse data.

The function and responsibilities of a data analyst or data scientist vary based on the sector and area where they work. A typical day for a data analyst can include determining how or why something happened, such as why sales plummeted, or designing dashboards to support KPIs. Data scientists, on the other hand, are more interested in what will or could happen, and they use data modelling techniques and big data frameworks like Spark to do so.

Data Scientists:

Scrubbing data might take up to 60% of a data scientist's effort.
Using APIs to mine data or creating ETL processes.
Using programming languages to clear data (e.g. Python or R).
Natural language processing, logistic regression, kNN, Random Forest, and gradient boosting are examples of machine learning techniques used in statistical analysis.
Using tools like Tensorflow to design and train machine learning models, creating programming and automation techniques, such as libraries, that ease day-to-day tasks.
Using Hadoop and Spark, as well as technologies like Pig and Hive, to build large data infrastructures.
The salary of a data analyst or data scientist can vary by industry and employer.
If you are interested in machine learning or big data, you may want to pursue a data science degree.
The data scientist path focuses on learning frameworks for processing, analyzing, modeling, and inferring from data. A data scientist can use a data lake to manage unstructured data for analysis.

Data Analysts:

SQL is used to query data.
Excel is used for data analysis and forecasting.
Using business intelligence software to create dashboards.
Performing descriptive, diagnostic, predictive, and prescriptive analytics, among other forms of analytics.
A data analyst can start out in an entry-level role where their main responsibilities are reporting and creating dashboards.
If you are interested in data processing and statistical modeling, a degree in data analysis might be for you. In some cases, a data analyst can continue their training and hone their skills as a data scientist.
A data analyst can learn to use statistics, analytics technology, and business intelligence to answer questions specific to the business.

The Top Skills You'll Need to Become a Machine Learning Expert

Every Data Scientist needs the following four talents to become an expert in Machine Learning.

1. Comprehensive understanding and expertise in computer foundations. Computer organisation, system architecture and levels, and application software are only a few examples.

2. Because Data Scientists' work entails a lot of estimation, having a good understanding of probability is essential.

3. Another area where they should concentrate is statistics analysis. For examining distinct data objects and how they interact with one another, data modelling is used.

4. Programming abilities and a thorough understanding of programming languages such as Python and R are required. A quest to understand different database languages other than traditional SQL and Oracle, such as NoSQL.

5. Common skills used by both data analysts and data scientists include data mining, data warehousing, math, statistics, and data visualization.

Importance of Machine Learning for Data Scientists

The most important aspect of artificial intelligence is machine learning. Without clear programming, it causes computers to enter a self-learning state. When fresh data is served by machine learning, these computers learn, grow, change, and develop on their own.

Data scientists are on a mission to become machine learning masters as the demand for the technology grows. Machine learning is expected to provide a lot of value to data scientists in the future. Before diving into the significance of machine learning for data scientists, there are a few things to keep in mind. The development of smartphones and digitization has transformed human life into a data collection endeavour.

People click on thousands of things on their smartphone every day, creating quintillions of data, whether they realise it or not. Meanwhile, Moore's Law - the premise that computing power would drastically rise while relative cost decreased over time – has made cheap computing power broadly available. The void between these two advances is filled by data scientists. In recent years, the function of data scientists has become increasingly important. Traditional businesses who previously did not devote a significant portion of their resources to technology employees are now hiring skilled data scientists to better their decision-making and analytic processes.

Machine learning, on the other hand, allows computers to enter a self-learning mode without the need for explicit programming. The great majority of artificial intelligence developments and applications that we hear about today are due to machine learning algorithms. Machine learning algorithms typically employ statistics to detect patterns in large amounts of data. The data includes a variety of elements such as numbers, text, photos, clicks, and so on.

Machine Learning's Benefits for Data Scientists

Every day, new technologies arise in our fast-changing environment. The majority of the new approaches that emerge as a result of technological advancements are designed to replace humans in their typical hard-labour employment. Machine learning is at the heart of accelerator technology that allows machines to mimic human intelligence and capacities.

Machine learning's increased use in various industries will act as a stimulus for data science to become more relevant. Because data scientists' job entails making people' jobs easier through data analysis and insights, they should be familiar with machine learning for quality prediction and estimation. This can assist machines in making better decisions and taking smarter actions in real time, without the need for human intervention.

Furthermore, machine learning is assisting data scientists on a small scale by revolutionising data mining and interpretation. Traditional statistical procedures have also been superseded by more accurate automatic sets of generic algorithms. Basic machine learning skills will become a need for data scientists in the future. Every data scientist should be knowledgeable of the following four machine learning techniques.

1. Computer foundations, such as computer structure, system architecture and levels, and application software, should be known and understood by data scientists.

2. Because data scientists' work entails a lot of estimation, they need to know a lot about probability. They should also concentrate on statistical analysis in order to improve their performance.

3. Data scientists should plan through data modelling, which is used to examine and interact with diverse data objects.

4. Programming abilities and a thorough understanding of programming languages such as Python and R are key skills for data scientists.

Conclusion

Data is extremely important. To produce insights and make sense of data, science draws together subject expertise from programming, maths, and statistics. When we consider why data science is becoming more essential, we must consider the fact that the value of data is increasing.

Data scientists use their experience in a range of data niches to assist companies in interpreting and managing data and solving complex problems. They usually have a good business sense and a basis in computer science, modelling, statistics, analytics, and arithmetic. Companies that hire data scientists, in particular, have the opportunity to improve marketing by providing personalised campaigns and advertisements based on customer behaviour, to improve innovation by analysing through a thorough understanding of customer needs, and to enrich lives by assisting consumers in their personal lives.

Machine learning is omnipresent, from Netflix, YouTube, and Spotify's recommendation systems to Facebook and Twitter's social media feeds. Businesses may use machine learning to save expenses and create profitable solutions to a variety of issues. Machine learning is one of the many technologies that data scientists have at their disposal. However, when new strategies emerge from machine learning, it is becoming increasingly important for them.

Machine learning and data scientists are already inextricably connected. While data science focuses on data scientists solving large data chores like data preparation, cleansing, and analysis, machine learning consists of machines that train on a set of data using a set of algorithms. To perform better as a data scientist in the future, those in the field should embrace machine learning with open arms. The article titled “The importance of machine learning for data scientists” will help the budding data scientists to build a great future for themselves in the field of machine learning. This will not only help them in their profession but will add a great asset to their career as well.

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Sep

Steps Involved in Defining Project Scope

iCert Global Project Management 0 2021-09-28 1252

Whether a company is building bridges, software, or cell phones, the work involved in these finished products is managed as a series of projects with specific goals, schedules, and budgets. A project management plan is critical to ensuring teams complete their work on time and as expected. But before project managers can come up with a detailed plan and a project team can execute that plan, everyone must know what work needs to be done and why it is important.

Every aspect of a project's execution is influenced by its scope. It's critical to understand how the scope of a project will affect your schedule and, eventually, the outcome, in order to finish it efficiently. The whole shape of the task will become obvious when you begin to define project scope and designate what responsibilities each member of your team is responsible for. In this post, we'll explain what establishing project scope comprises, go over the many parts required, and walk you through the process.

This is where the project scope statement comes in. A project scope statement provides a detailed description of the work that must be done to deliver the results of a project on time and within the allotted budget. The document also places the goals and results of the project, this could be a product that a company brings to market or an analysis that uses leadership to make an informed business decision, in the broader context of the goals and objectives of the company. company.

Defining scope for a project

Capturing project scope cannot be overestimated as the project will not achieve the desired results without a well documented and agreed vision. The scoping process requires careful organization and a series of steps.

The time it will take to complete the project, the resources required to complete it, and the precise tasks for which each team member will be responsible are all part of the project scope. The project scope must be calculated by the project manager, approved by upper management, and communicated to the rest of the team before work on the project may begin. The scope will need to be checked often throughout the project to keep the team on track. The scope will also guide the project manager's decisions on how to deal with any issues or bottlenecks that arise.

Image source:- https://www.b2bwritingsuccess.com/2015/01/project-management-defining-project-scope/

Aspects to consider while defining scope for a project

The scope of a project is defined by a number of factors. While the general documents normally follow a pattern, the specifics will depend on the nature of the project, the timetable, and the culture of your firm. The following are aspects of defining project scope:

1. Work description - The creation of a statement of work is the first stage in establishing project scope. The official document that describes the criteria for a certain project is known as a statement of work. It contains a broad description of the task being asked, as well as a deadline, a schedule, any unique talents required, and the location of the job. A statement of work gives managers the information they need to assess expenses and make a proposal.

2. Statement of the Project's Scope - A project scope statement responds to the statements of work's requests and gives the particular information required to accomplish the project. The statement specifies the number of personnel needed for the job, the location where it will be accomplished, the time it will take, and the quality of the final outcomes. Scope statements determine the project's boundaries and ensure that all team members stay on track throughout the project's lifetime.

3. Breakdown of work structure - The work breakdown structure is a document that helps project team members share work effectively. Throughout the project's duration, the work breakdown structure ensures that each department, team, or individual understands exactly what is expected of them. The work breakdown structure also assigns specific job lists to the relevant teams or team members, ensuring that they are not overburdened with information.

7 Steps are involved in defining scope for a project

Step 1. Identify the need of the project:-

If you can identify the needs of a project, you are more likely to establish a solid benchmark from the beginning. Understanding the "what and why" of a project can help you set specific goals. It also lays the groundwork for what tasks should be followed and how they should be performed.

Step 2. Verify the goals and objectives of the project:-

The basis of the project scope should include your objectives and follow a SMART guide. That is, be specific, measurable and achievable. It must also be realistic and completed within a specified time frame.

Time frame - Can the goals and objectives of your project be achieved within the established timeframe? Is meeting these deadlines an important criterion?
Measurable - Are your goals and objectives capable of providing feedback and being accountable?
Specific - This includes specifying exactly what the project will accomplish. That is, what, why and how they are done. Clarity reduces the likelihood of confusion and misunderstandings.
Achievable - Can the objectives of your project be achieved with the resources available?
Realistic - Are goals and objectives easy to achieve, especially when faced with problems or complications? Will this affect the overall quality of the project output and lead to over budget and missed deadlines?\

Step 3. Project Scope Description:-

As a manager, you must be clear about the characteristics and functions required for your product or service. For instance, you are creating a website. You need a list of details about your website structure, branding requirements, etc. In other words, what qualities make your project a success.

Step 4. Acceptance and Expectations:-

Successful projects take into account the satisfaction of the end user. If they meet the expectations of the end user and accept the product, service or process. End users can be your customers or your internal team.

For customers, this includes prices, value, and quality of products / services, as well as availability, delivery, and return guidelines. For employees, this includes the effectiveness and efficiency of new operating processes. Ultimately, the scope of your project should be geared towards delivering better results to your end users.

Step 5. Identify Constraints:-

There are always obstacles to what you set out to do. Being aware of potential limitations along the way can minimize problems that may delay or limit your ability to achieve your project outcome.

These can be caused by dynamic environmental conditions (internal and external), technological disruptions and / or lack of resources. Communicating these issues with your team early on and taking steps to overcome these hurdles can reduce project completion delays and keep expenses on budget. Regardless of whether they are based on assumptions or uncertainties, analyzing their impact during the project period further reduces the risk of failure.

Step 6. Verify necessary changes:-

It is always best not to review the scope of your project as it will mean more time, money and resources. However, sometimes these changes are inevitable and necessary. Limit changes by taking the perspective of customers, stakeholders, and project collaborators.

This minimizes later disagreements.

Step 7. Involve the appropriate stakeholders:-

The right stakeholders from the firm commissioning the project must be well-informed at specific crucial moments for the project to be delivered successfully. If stakeholders aren't adequately included, it might lead to misaligned goals and assumptions. The project will run more smoothly if the correct people are involved and kept updated throughout the process.

Conclusion

The first stage in creating a project timeline, allocating project resources, and setting project goals is defining the project's requirements. Only by following these procedures will you be able to comprehend the work that has to be done, i.e., the project's scope must be specified. After then, team members can be assigned jobs and given instruction in order to complete a project within the time and budget constraints.

After these characteristics have been determined, the project's restrictions must be clarified, as well as the components that will not be included in the project. Stakeholders, senior management, and team members will be able to see what will and will not be included in the final product or service if this is done. Furthermore, the project's scope should have a measurable goal for the entity that is carrying it out. This is critical for the project's scope since it will influence how project approaches are used to execute it.

Some common flaws with Project Scope Management might cause challenges once the project has started. These include:

Ambiguity in scope can lead to a lot of wasted time and confusion. To avoid this, the scope must be specific and well-defined.
Incomplete scopes result in schedule slippages, which in turn result in cost overruns. To avoid this, the scope must be comprehensive and precise.
Scope creep is the primary cause of late delivery and “never-ending” projects, and it is caused by transient scopes. To avoid this, the scope document should be finalised and left unchanged throughout the project.

To guarantee that stakeholders and team members alike understand the scope of the project and agree on how the project goals will be fulfilled, effective project scope management necessitates clear communication. These 7 steps are involved in defining project scope and it will help many people in their profession.

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Sep

Top 10 Skills to Become an Ethical Hacker

iCert Global Emerging Technology 0 2021-09-27 2326

Anyone with advanced computer technology abilities who can trick organisations or breach security and access networks without necessary authorisation is referred to as a "hacker." Some hackers use their expertise to commit fraud, theft, or other illegal activities, while others simply love the challenge.

Compromising computer systems for the purpose of analysing security and acting in good faith by informing the susceptible party is what ethical hacking is all about. Many professional jobs involving securing an organization's internet assets require ethical hacking as a fundamental skill. Professionals in these professions keep the organization's computers, servers, and other infrastructure components in good operating order, preventing illegal access through non-physical means.

It takes time and money to recover from a cyberattack, and there's no assurance that a hacked company will recover at all. Data breaches, in particular, can harm a company's reputation with consumers and clients, and might even result in legal action. That's why ethical hacking abilities are so important for any company with a significant online presence. People mistakenly believe that "hacking" entails breaking into any website in under a minute. They don't even understand the basic concept of what it means to hack or how to accomplish it because they learned it from movies. In reality, it is much different than what it appears.

Top 10 Skills to Become an Ethical Hacker are:

Computer skills
Skills in Computer Networking
Linux Expertise
Skills in Programming
Malware
Reverse Engineering
IoT Device Security
Cloud
Thinking Analytically
Knowledge of databases

What Does Being an Ethical Hacker Entail?

In many ways, an ethical hacker is similar to a secret shopper who goes into stores undercover to find flaws and provide comments on what needs to be improved. To test a store's security, secret shoppers may even stage shoplifting instances. Similarly, ethical hacking skills—which are essentially identical to those used by cyber criminals—are beneficial to businesses looking to identify vulnerabilities, strengthen their networks, and improve their processes.

While corporations frequently hire penetration testers to focus on one or a few specific network vulnerabilities, ethical hackers play a far larger role. They may also try to dupe staff into divulging critical information, test whether laptops and mobile devices are securely secured and safeguarded, and investigate all possible methods a "black hat" hacker would try to cause havoc.

Top 10 skills of an Ethical Hacker

1. Computer skills:

Computer skills refer to the knowledge and abilities required to operate computers and related technology. Data processing, managing computer files, and making presentations are all examples of fundamental computer abilities. Database management, programming, and spreadsheet calculations are examples of advanced computer skills. MS Office, Spreadsheets, Email, Database Management, Social Media, Web, Enterprise Systems, and other computer skills are among the most important. A computer systems specialist is required of an ethical hacker.

2. Skills in Computer Networking:

Networking abilities are one of the most critical talents to have if you want to be an ethical hacker. The computer network is simply the interconnection of several devices, known as hosts, that are connected via multiple pathways to send and receive data or media. Understanding networks such as DHCP, Supernetting, Subnetting, and others can allow ethical hackers to investigate the many interconnected machines in a network, as well as the potential security concerns that this may pose, as well as how to deal with those threats.

3. Linux Expertise:

The Linux Kernel provides the foundation for a community of open-source Unix-like operating systems. It is a free and open-source operating system, and the source code can be updated and distributed to anybody under the GNU General Public License, whether commercially or non commercially. 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.

4. Skills in Programming:

Programming skills are another crucial ability for becoming an ethical hacker. So, in the computer world, what exactly does the term "programming" mean? It's defined as "the act of writing code that a computing device can understand in order to carry out various commands." So, in order to improve one's programming skills, one must write a lot of code! Before beginning to write code, one must first determine which programming language is suitable for their needs. The following is a list of the most commonly used programming languages by ethical hackers:

Python
SQL
C Programming Language
JavaScript
PHP
C++
Java
Ruby
Perl

5. Malware:

Ethical hackers must be familiar with many types of malware, as well as how they can be utilised to obtain access to a system and the most recent varieties of malware. Malware will be used by hackers either to obtain access or to corrupt and steal data once they have. Ethical hackers can create their own malware or use malware toolkits developed by others.

6. Reverse Engineering:

A term used to describe the process of recovering a product's design, requirement specifications, and functionality from an analysis of its code is known as reverse engineering. It creates a software database and uses it to generate data. The goal of reverse engineering is to speed up maintenance work by making a system more understandable and producing the essential documents for a legacy system. Reverse engineering is commonly employed in software security to ensure that the system is free of severe security flaws or vulnerabilities. It aids in the development of a system's sturdiness, hence safeguarding it from hackers and spyware.

7. IoT Device Security:

Because IoT devices are frequently vulnerable, they are a great target for hackers looking to get access to a company's network. Mobile devices are especially common because practically everyone owns one, and they are frequently directly connected to a company's network via WiFi. Hackers should be conversant with tools like Wireshark, BinWalk, and SAINT, which are used to extract data and acquire access.

8. Cloud:

To collaborate on documents, run programmes, and back up their data, most businesses rely heavily on the cloud. Hackers, on the other hand, can use the cloud to gather information and develop an attack platform. Because enterprises assume that the cloud provider is responsible for security, free cloud platforms are particularly vulnerable. Ethical hackers should be familiar with all of the major cloud platforms, including Amazon Web Services, Google Cloud, and Microsoft Azure.

9. Thinking Analytically:

Hacking necessitates both a creative and analytic mindset. Ethical hackers must be able to deconstruct security frameworks and devise novel techniques to breach a network. This also necessitates thinking outside the box – social engineering is a prevalent strategy used by both white and black hat hackers to get access to restricted places, and it employs psychological techniques.

10. Knowledge of databases:

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. To assist the organisation in building a powerful DBMS, an ethical hacker must have a comprehensive understanding of this, as well as different database engines and data structures.

Conclusion

Ethical hackers can work as freelance consultants, for a firm that specialises in simulated offensive cybersecurity services, or for a company's website or apps as an in-house employee.

For a member of a cybersecurity team, a history of cybercrime constitutes an unacceptable danger. This type of risk would be unacceptable to a huge corporation with an experienced legal staff. When applying for work as an ethical hacker, a resume that includes any activity that even smells like unlawful labour or unethical behaviour is a surefire way to be denied. While people can change over time, most employers recognise that adopting a set of ethical life-guiding values entails far more than simply wanting to change careers.

Although an offensive security professional is a better definition, ethical hacker is frequently used to characterise this type of security expert since, let's face it, ethical hacker sounds more mysterious. Regardless of whether the term "hacker" appears in the job description, these positions are not for the ethically dubious, and especially not for someone with a history of bad behaviour. Ethical hackers must have access to sensitive information, which if leaked might be disastrous for the company. For government personnel and contractors, a security clearance is frequently necessary. A background investigation and an analysis of financial and social media data will be required to obtain a security clearance. These top 10 skills of an ethical hacker will teach many ethical hackers who want to work in a professional way.

While there are examples of self-taught gritty individualists dragging themselves up by their digital bootstraps to the summit of cybersecurity ops throughout history, the standard for ethical hackers is a bachelor's degree along with one or more specialised professional certificates. Successful ethical hackers typically have years of mettle-testing experience in software development and/or more traditional defensive security roles. The elaborated article titled “What ethical hacking skills do professionals need?” will teach you some ethical hacking skills in a professional way.

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Sep

Types of Organizational Structures in Project Management

iCert Global Project Management 0 2021-09-24 2147

Project management structure is critical to any project team's performance; a structured organisation or project team provides support for the job that is being done. Project management teams or organisations that are not aligned have a detrimental impact on the project's outcome. This is due to the fact that the project manager's authority is influenced by the organisational structure, which has an impact on how projects are managed.

Non-structured project management teams, by definition, lack guidance, but a directed team leads to successful projects. The organizational structure is the standard hierarchy of activities. It defines how to divide, coordinate and lead groups. In addition, it defines the position and describes the tasks required to achieve the organization's goals and vision.The organizational structure is not static, but adjusted according to the organization's scale, needs, and ideas.

In this article, you will learn about the different types of organizational structures and their working principles in project management. Within an organisation, an organisational structure can be defined as the official line of power and control. The reporting relationships in a company's project management structure tell us how they work. Depending on the context in which the organisation operates, the goals it sets for itself, and the type of the job being done. The several types of organizational structures in project management will help employees to grow an organization as well for the growth of their business.

8 common types of organizational structure in Project Management are:

Line Organization
Functional Organization
Project Organization
Virtual Organization
Matrix Organization
Divisional organization
Organic or Simple Organization
Line and Staff organization

Elements of organizational structure in Project Management

When choosing an organizational structure, certain characteristics should not be overlooked. The main elements that contribute to the establishment of an appropriate organizational structure are as follows:

Physical locations
Simplicity of design
Accountability assignment
Delegation of capabilities
Degree of alignment with organizational objectives

8 common types of organizational structure in Project Management

1. Line Organization:-

This is the simplest form of organizational structure you will find in a small business. It has a clearly defined level of authority in the hierarchy. Power flows from top to bottom to different levels of the company or workers.The hierarchical structure clearly defines the power, responsibility, and accountability at all levels. Because of its simplicity, authorization and responsibilities are transparent and easy to understand. As employees receive quick feedback and react quickly, communication becomes quick and easy.

The project manager performs tasks according to the position or authority in the hierarchy. Some organizations do not have this position, but when they have this position, they may have little or nothing to do.

2. Functional Organization:-

The functional organization groups workers according to their profession. This structure is an extension of linear organization. The functional manager leads the team and manages any operation or business. The head of the functional organization executes instructions within a clearly defined scope of responsibility. This concept comes from Fredrick W. Taylor. Here, you can classify employees according to their functional roles and departments. Some general divisions below are:-

Customer Service
Sales
HR
Finance
Supply chain, etc.

The head of the organization is the president, followed by the vice president, and the chain continues. In addition, department heads made predictions about their department performance. Together, they help organizations control quality and consistency.

This structure positions the department vertically and separates it from other departments. Hence the name "Silos". The head of the department controls the communication between the senior management and their subordinates. The role of the project manager is small, or there may not be a specific position. Typically, you act as an accelerator or coordinator. As a functional manager, you have to deal with -

Decision making
Budget Allocation
Resource Allocation

This type of organization is suitable for manufacturing or engineering companies. It supports the daily operations and practices of manufacturing standard products.

3. Project Organization:-

Project organization is a temporary facility set up for a specific project. It is also referred to as the "projectized organizational structure". The project manager assigned to the project is the person in charge of the structure. After the project is completed, you can immediately cancel this setting or move it to a new project.

If it is a new project, the project manager may need to rearrange employees to adapt to the new plan. You hire resources or experts from different functional departments. As a project manager, you can use the allocated resources until completion and completion.

Although you are responsible for the timely completion of all activities and projects. In other words, you need to spend according to the project budget. The manager assigns clear tasks to each team member and has a complete timetable. These types of organizations are useful in the following situations:

Project is unique and independent
The scope of the project is complete and the objectives are clear

4. Virtual Organization:-

Virtual organization is a new development that spans different locations. If your team runs a project in one area, you can manage it from anywhere else. In this way, you can allocate resources to your project team regardless of location. You can connect to almost any location. The other name of this organizational structure is:

Modular Organization
Network Organization
Digital Organization

ICT (Information and Communication Technology) is the support of virtual organizations. The virtual organization is a social network without vertical and horizontal boundaries.

The resource is not bound to a specific workstation (desk). You can also work from any mobile device. You can manage almost any project activity, including meetings. The team reports digitally, unless in some cases a physical meeting is required. Therefore, virtual offices, virtual teams and virtual leaders are often heard. This setting is most suitable for software or IT companies.

5. Matrix Organization:-

This is a combination of planning organization and functional organization. This hybrid organization overcomes the boundaries of any organization. Here, functional managers and project managers share their respective powers. Project Managers are usually responsible for:

Execution of the project
Completion of project activities
Project Planning
Overall Integration

All activities must be carried out using allocated resources. The functional manager handles the operational aspects of the project. You are also responsible for providing technical advice. Technicians specialize in the skills required for the project. Although the project manager leads the project staff, the functional manager controls the process. This type of organization is most useful when employees need to share available resources.

This combination achieves high efficiency and better utilization of available resources. They are also better able to adapt to changing trends. You can divided Matrix Organization into:-

Weak
Strong
Balanced

The power shared by functional managers and project managers determines their strength.

6. Divisional organization:-

This type of organization is usually similar to a functional organization. Team members work in different departments. This setup divides employees into multiple market segments based on products, markets, or services. However, the divisional organization’s segments or divisions are autonomous. The functional units supporting this structure include:

Operations
Personnel
Marketing
R&D Department

This design focuses on service lines such as product, customer, region, and time. Because they operate as small organizations, they are called "independent structures."

So your independent work area target. But all departments jointly meet the company's guidelines and business goals. This type of organization is suitable for the following companies:

Banking and insurance business
Chain stores with Subsidiaries
Operate in different geographical location

7. Organic or Simple Organization:-

This type of organization is very flexible and can adapt well to market changes. This structure is characterized by fewer regulations and management levels, and decentralized decision-making. The organic organization is designed to respond well to the rapidly changing environment. People work side by side to communicate quickly and often solve unforeseen problems, problems, and requirements. The project manager has little or no authority here, and may or may not have a specific job role.

8. Line and Staff organization:-

The line and personnel organization are modifications of the line organization. Here, experts work with line managers to provide them with guidance and advice. This structure is more common today, and most large organizations use this type of list. The employees are divided into two categories; General and Professional teams.

General employees - Ordinary or general employees consist of simple employees who support senior management. These people are not experts.
Professional employees - The team is composed of experts who provide services to the organization. Their role can be advisory, control (such as quality control) or service (such as maintenance). Th line and employee organizations use the expertise of experts. In this way, the managers can become better in several ways.

These are the total 8 types of organizational structure in project management.

Wrapping up

Through different types of organizational structures, it is easy to know what you need. Although each structure has its limitations, a large and complex organization has taken over the matrix organization. Lines and staff organizations are clearly structured. Therefore, it is used for simple organization. Software or information technology companies usually use virtual organizations.

Even if you choose the right organization, type will ensure that you are doing well in the market. This elaborated article “Types of organizational structures in project management” will help employees to create a good structure in their project for the betterment of their organization.

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Sep

Top 10 Artificial Intelligence Applications

iCert Global Emerging Technology 0 2021-09-23 1487

When most people hear the word Artificial Intelligence, they immediately think of robots or a popular science fiction film such as The Terminator, which depicts AI's rise against humans. However, it isn't even close to the current state of AI. Artificial Intelligence is a discipline of computer science that aims to imbue human intelligence into machines or computers so that they can perform human-like functions and jobs. Artificial Intelligence (AI) is a breakthrough technology that has broadened the scope of technology and accelerated developments in this sector. It is concerned with human activities such as human thought processes, information processing, and data interpretation.

Learning, reasoning, and perceiving are all goals of AI. AI, in conjunction with these goals, instructs computers to do human-like functions using techniques such as Deep Learning and Machine Learning. AI is everywhere in the modern digital era, from self-driving automobiles to the production of captcha text on website portals.The top 10 artificial intelligence applications will help you to learn more about AI.

When it comes to technical growth, Artificial Intelligence plays a huge role. AI has revolutionised several sectors with its sophisticated innovations and adaptable strategies, involving various fields and industries in the world of technology. Despite the criticism it has received over time, AI remains a topic of discussion among academics and scientists all over the world. Artificial intelligence has a long history dating back to the mid-nineteenth century. What began as a hypothetical circumstance has evolved into a real-life example that affects people's lives on a daily basis. While few people believe that machines will ever be able to govern how humans function.

Top 10 Real World Artificial Intelligence Applications are

1. Outer-space Exploration

2. Finance and Stock Market

3. Digital Media

4. Medical care Industry

5. Fitness Apps

6. Face recognition

7. Automated cars

8. Virtual Voice Auxiliaries

9. Robotics

10. Customer Service

Pros and Cons of Artificial Intelligence

Here's a quick rundown of the benefits and drawbacks of artificial intelligence that we should all be aware of.

Pros of AI

Potentially Massive - One of the most significant advantages of artificial intelligence is its enormous potential. AI is known for its cutting-edge technology, which engages numerous businesses and sectors through new approaches such as Machine Learning and Deep Learning.
Excellent all-around performance - Machines, unlike humans, do not require rest. Artificial intelligence allows computers to work indefinitely and around the clock, resulting in more efficient output. When compared to human abilities, AI's 24x7 work cycle is extremely favourable.
Results that are free of errors - Another advantage of AI is that it generates results that are error-free. Humans are prone to errors and mistakes when doing manual work, whereas machines with artificial intelligence are extremely efficient. This produces error-free results that would otherwise be a significant agony for people.

Cons of AI

Architecture Is Expensive - One of the disadvantages of artificial intelligence is that it necessitates costly infrastructure to function. Even though this is a one-time cost, AI can be a significant investment for many firms and people.
Unemployment in the Workforce - “Machines have taken the place of men, and materialism has taken the place of hard labour.” Since the introduction of machines, Artificial Intelligence has been the source of mass unemployment. While AI is likely to increase in the future, it will inevitably result in more human unemployment, which is a big disadvantage.
Patterns that aren't dynamic aren't present - Machines rely on data rather than intuition to function. Another disadvantage of AI is the lack of dynamic patterns, which suggests that robots are merely consistent in their task performance. Despite their ability to mimic human behaviour, machines still fall behind in terms of creativity.

The Four Types of AI

1. Machines that react

This type of AI is solely reactive, with no ability to develop "memories" or make judgments based on "previous experiences." These devices are made to carry out specific duties. Programmable coffeemakers and washing machines, for example, are built to fulfil specific functions but lack memory.

2. AI with a limited memory

This type of AI makes decisions based on prior experiences and current data. Because the machines have limited memory, they are unable to generate new concepts. They have a memory-running application built-in. Changes in these machines necessitate reprogramming. Limited memory AI is exemplified by self-driving automobiles.

3. Mind-Body Theory

These AI computers will be able to socialise and understand human emotions, as well as cognitively understand people based on their surroundings, facial traits, and other factors. Such powers have yet to be developed in machines. This sort of AI is the subject of a lot of research.

4. Self-Awareness

This is the way AI will develop in the future. These machines will be super-intelligent, sentient, and aware of their surroundings. They have the ability to react in a human-like manner, however, they are likely to have their own characteristics.

Top 10 Real World Artificial Intelligence Applications are listed below:

1. Outer-space Exploration:-

Artificial intelligence not only exists on earth but also exists in space! When it comes to the application of artificial intelligence, machines have travelled through space, allowing humans to explore space. Whether it is a Mars mission or an outer satellite device, artificial intelligence is constantly striding forward to space exploration. Some aspects involving the application of artificial intelligence to space exploration are mapping, satellite navigation, and location tracking technology.

2. Finance and Stock Market:-

Another list of artificial intelligence applications from the financial sector. With the help of artificial intelligence algorithms, machines can now interpret past stock market developments, analyze the profit and loss of related stocks, and even predict future stock market developments.

AI has been a major contributor in the financial field recently. One of the financial companies, Nomura Group, has successfully implemented artificial intelligence technology. In addition, artificial intelligence is seeking ways to enter financial processes, such as payment transfers, e-commerce platforms, and many other areas.

3. Digital Media:-

The Internet is everywhere, and so is artificial intelligence! Another use of artificial intelligence is digital media, which can help social media platforms check fake news, understand foul words hidden in comments or captions, and promote brands online. From these aspects of digital media and artificial intelligence, virtual platforms have emerged, and their users seem to know too well.

Have you ever wondered why when you look for a smartphone online, your Instagram will show you smartphone ads? Well, artificial intelligence is the answer. By interpreting data and analyzing the patterns hidden behind the user interface, artificial intelligence has adjusted our Google search engine, integrated various digital marketing tools, and provided us with exactly what we were looking for!

4. Medical care Industry:-

Medical care is a basic service for all citizens of the world. While doctors and scientists work hard from time to time to bring about a medical revolution, artificial intelligence does its part by making great contributions to the industry. The role of artificial intelligence in healthcare enables machines to interpret the patient’s medical history and predict possible diseases that individuals may be susceptible to in the next few years.

In addition, artificial intelligence facilitates drug discovery and the development of drugs that can cure harmful and even fatal diseases. AI's impact on the industry is huge. IBM Watson Health is a medical company that actively integrates artificial intelligence into the healthcare industry. It assists in research, data analysis and provides clients with medical solutions.

5. Fitness Apps:-

Fitness is everything that people desire today. From the number of steps you walk in a day to the number of calories you burn, fitness plays a huge role in our lives. And artificial intelligence! Artificial intelligence has formed an alliance with fitness and has promoted the release of fitness equipment, such as fitness bracelets and watches, to help people recognize their health, enhance their physical fitness, and achieve goals.

The role of artificial intelligence in this regard is to interpret the data that occurs every day and predict future data based on the data analyzed by the machine. One example is Fitbit, which trades with fitness bands powered by artificial intelligence.

6. Face recognition:-

Does your smartphone have facial recognition technology? If so, your smartphone is powered by AI. Are you thinking how is this possible? Well, applications of artificial intelligence include facial recognition, which focuses on learning and perceiving patterns to obtain fast and effective results.

So when you insert a selfie and register for face recognition, your phone will learn a face recognition algorithm. Next time you log in to your phone without entering a password, your phone will be easily unlocked by your photo. In addition to smartphones, airports, offices, etc. Face recognition is also used for other security and privacy purposes.

7. Automated cars:-

Artificial intelligence is how self-driving cars work. Self-driving cars are a typical example of artificial intelligence applications, explaining the progress in this field and the automotive industry. Driverless vehicles have recently gained traction, and Tesla has emerged as the frontrunner, with its AI-powered autonomous cars easily navigating the streets. Tesla's AutoPilot feature, which is backed by self-predictive skills, sets it apart from other self-driving technology companies. One of the most important artificial intelligence applications is Tesla's self-driving system.

The idea of self-driving cars with artificial intelligence algorithms is the future of the automotive industry. Large companies like Tesla are developing self-driving cars and are moving in this direction. Thanks to artificial intelligence, people no longer need to drive a car or hire a driver to do so.

8. Virtual Voice Auxiliaries:-

"Hey Alexa, explain the 8th application of artificial intelligence." Have you ever wondered how Alexa can do what you tell her to do? The answer is simple artificial intelligence. The design of virtual voice assistant devices such as Siri or Alexa incorporates technologies such as artificial intelligence and deep learning.

By enabling such voice assistants, artificial intelligence focuses on delivering human intelligence to these tools to help them perform human-like functions and tasks. Due to multiple modes and deep learning algorithms, such voice assistants have successfully followed human commands, making them a real example of artificial intelligence.

9. Robotics:-

As we all know, artificial intelligence is the driving force behind robotics. The use of artificial intelligence in robotics enables robots to appear in multiple industries such as finance, marketing, and healthcare. For years, robotics has been trying to integrate human intelligence into machines that can think and work like humans. A real example of this application is the Sophia robot. The robot Sophia is considered a "humanoid", a hybrid of humans and robots, with built-in functions of both.

10. Customer Service:-

Artificial intelligence also makes it easier to integrate machines into customer service. A computer designed to record feedback from various customers visiting major brand stores, shopping centres or showrooms. ML chatbot technology (bots that chat online with customers) is also one of the best AI applications to expand the scope of bots. By simulating the human behaviour and dialogue methods of marketers, chatbots interact with customers through online platforms.

For example, the e-commerce platform Amazon integrated chatbots into its customer service department. This is where customers are tricked into chatting with bots who want to resolve issues or disagreements related to purchases, orders, etc.

Implementation of AI Examples

Predictions Powered by AI at Google - Google Maps (Maps) may measure the speed of traffic movement at any given time using anonymized location data from cell phones. User-reported traffic occurrences, such as construction and accidents, can be more easily incorporated into maps.

Flights on Commercial Airlines Make Use of AI Autopilot. - Commercial airline AI autopilots are a relatively early application of AI technology, dating back to 1914, depending on how loosely you define autopilot. According to the New York Times, a Boeing plane's average journey includes only seven minutes of human-steered flying, which is usually reserved primarily for takeoff and landing.

Email Categorization That Works - Gmail takes a similar method to categorize your emails into primary, social, and promotion inboxes, as well as flagging essential emails. Gmail learns every time you flag an email as important.

Voice-to-Text - Voice-to-text is now a standard function on cell phones. You can start speaking by pushing a button or stating a certain phrase (“Ok Google,” for example), and your phone will convert the audio to text.

For many AI researchers, creating a machine with human-level intelligence that can be applied to every endeavour is the Holy Grail. Although super-intelligent robots have long been the subject of dystopian science fiction, experts believe that this isn't anything to be concerned about anytime soon. In the last decade, AI and machine learning technologies have advanced at a breakneck pace. These technologies have established themselves as a must-have in a variety of industries, and they continue to grow in importance and demand new ones.

Figures and Facts about Artificial Intelligence

The Global AI Market is predicted to generate a revenue of 118 billion dollars by 2025, according to Tractica, a market research organisation.
According to Gartner, 37% of companies have deployed AI in some manner. Over the last four years, the number of businesses using AI has increased by 270 per cent.
AI will fuel 95 per cent of customer interactions by 2025, according to Servion Global Solutions.
According to Statista's latest estimate for 2020, the global AI software industry is predicted to increase by 54 per cent year over year, reaching a forecast value of 22.6 billion US dollars.

Conclusion

With its applications, Artificial Intelligence is transforming industries and assisting in the resolution of complicated problems. The preceding list is merely a small sample of artificial intelligence case studies available today. As more companies take steps in this direction and learn how to integrate artificial intelligence, the possibilities for the future will only rise. Artificial intelligence is already automating corporate processes and will continue to do so in the future. Artificial intelligence is a vast field with plenty of information to be discovered. Only AI professionals are capable of realising the technology's full potential.

Artificial intelligence is all around us, and it is playing an increasingly important part in our daily lives. AI is lurking in the background every time someone opens their Facebook newsfeed, performs a Google search, receives an Amazon purchase recommendation, or books a trip online.

It can be said that artificial intelligence is widespread in people's lives. The drastic changes in the 21st century have led to the development of artificial intelligence, which has further expanded the application of technology in many fields. AI enables machines to work in the manner of human intelligence, and computers have been trained to mimic human behaviour well. In the long run, this technology will try to map neural networks to make machines operate like a human brain (neuromorphic computing).

All in all, artificial intelligence has many applications that make it useful to people in daily life. Although many scientists have warned humans about artificial intelligence, the future of artificial intelligence is very important to the development of technology.

AI is redefining how business processes are executed in various fields such as marketing, healthcare, and financial services. The company has been studying how to benefit from this technology. As efforts to improve existing processes continue to increase, it makes sense for professionals to gain expertise in the field of artificial intelligence. Top 10 Artificial Intelligence Applications, this article will help you to learn and grow in this industry without any hindrance.

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Sep

What is S-Curve in Project Management?

iCert Global Project Management 0 2021-09-22 6358

Business relies on a variety of computations and variables that change throughout time. It has always been reliant on these factors, but now humanity has developed a variety of tools and parameters for those tools to aid in the calculation of progress.

These tools and parameters are quite beneficial to your business because they allow you to learn more about your job and dig deeper into your flaws. The S-Curve graph, which uncovers some of the most crucial data about your company, is one of these significant features.

Finding an answer for What is S-curve in Project Management? Here you go - An S-curve is a graph that shows a cumulative data field versus time, such as man hours or cost. It's helpful in project management because it allows project managers to track project progress by comparing the expected shape of the S-curve to the present shape

On this one, there are no surprises. Because of the shape it takes on the graph, it's referred to as an S-curve. Progress is slow at the start of the project (the graph line is flatter). The project team is forming, stakeholders are approving, and you're spending more time planning than doing.

The steep curve upward creates the centre half of the S-shape once the project is fully operational. Growth in project activity — such as man-hours — is substantially higher once the project is fully operational. The point of inflexion is the highest point of activity. The curvature begins to level out as the project winds down and approaches completion. S-curve represents the entire system life cycle. There are four stages: infancy, rapid growth, maturity, and decline. Every stage has its own unique features.

S-Curve in project management represents the cumulative workload or cost over time on a man-hour basis. The name stems from the fact that data usually takes a slower-paced form at the beginning and end of the project.

What is a S-Curve in Project Management?

In project management, a curve is a mathematical graph or illustration that correctly represents the corresponding cumulative data of the project or task. This data can be the relationship between cost or labor hours and time. The reason it is called the S-curve is not very technical. It depends on the shape of the graph. You know that this shape of the chart depends entirely on the type of project you are working on, so many other forms can also be used.

Basically, the term project management is a chart used to effectively track the progress of your ongoing project. This is very convenient because in today's fast-paced corporate culture, it is very important to ensure that the set budget is used on time to meet all the needs and requirements of the project.

What role does S-curve knowledge have in project management?

1. S-curves assist you in keeping track of project progress. - S-curves are useful to project managers because they provide a straightforward and intuitive measure of project progress.S-curves, in particular, demonstrate how the project is using project resources — both human and financial — in comparison to the quantities set aside at the outset.

Only half of project managers establish a baseline for their projects, making it difficult to track actual progress. You have a baseline to track progress against by plotting an S-curve during project beginning, utilising estimates for variables such as expected man-hours and cost. The project manager can plot actual resource utilisation during the project lifecycle to see how well it matches what was predicted. If there is a discrepancy between them, there is a chance to make changes to how resources are allocated.

2. They allow you to forecast when resources will be in high demand. - When you plot your S-curve, you can see when the project will be the most resource-intensive.That might be when you need a cash injection or when you have a lot of work to do and need more resources. This is useful since it may signal that a major portion of the project money needs to be released by business stakeholders, or that you need to hire contractors to complement your core project team.

3. They aid in the management of stakeholder expectations. - Understanding S-curves can also help you keep your project's stakeholders engaged. S-curves are a visual and straightforward technique to describe the likely pace of work to stakeholders during the planning stage.Explaining that progress would be modest in the early stages of project execution before there is a major increase in the amount of work to be done will help control stakeholder expectations of rapid change.

It can also assist line managers in anticipating when their team members will be required to contribute the most to the project, either through their abilities or their business expertise.

4. They give you the ability to plan for various timetable circumstances. - After you've generated your baseline S-curve, you can experiment with the inputs to see how they affect the project's outcome. Plotting the earliest and latest start dates for jobs in your project schedule is one of the most prevalent examples.

This results in two curves that meet at the beginning and end and are referred to as a "banana curve" due to their shape. Project managers frequently calculate when a work can begin and end in the schedule without influencing the overall time. This shows how much wiggle room or "float" there is in the timeline if things go wrong during the project.

You may plot actual work against the banana curve as it is delivered. If the data points are close to the ‘latest date' curve, a danger of project delay is signalled, and the project team is prompted to take action.

5. Estimate the number of man-hours required. - It's not the same as ordering products or equipment when it comes to hiring staff. You must prepare ahead of time, therefore use an S-curve to chart out estimated man-hours for a project to ensure optimal hiring efficiency.

During the early stages of a project, you won't have too many people standing about doing nothing, and you won't have to hustle to add staff as the project progresses. Map up a plan to have the right man-hours at the right moment, no matter what phase of the project you're in, using S-curves from previous similar projects — or just making an informed guess.

Different types of S-curve in Project Management:

There are a variety of S-curves available for project management applications. These are as follows:

Actual S-Curve
Target S-Curve
Baseline S-Curve
Costs Vs. Time S-Curve
Value & Percentage S-Curve
Man-hours Vs. Time S-Curve

Why an S-curve?

Well, the "S" shape is not forced or developed, it is just the shape formed by the chart in the early stage of the project when the standard growth of the project is very slow. In the initial stage, the project began to disband, and the team members were only in the research industry or just started the first phase of project execution. This process may take longer at the beginning, but once the team masters it, they will quickly solve the problem, and as the process progresses, the process becomes seamless.

As progress increases, growth accelerates suddenly. If you want to grow quickly in the graph, this is the middle part of the "s". The point of greatest increase is called the turning point. These are the most important parts of the curve, because this is where growth stagnates. At this point in the process, team members usually work very hard on project tasks. As they accelerate this process, more and more tasks and the accompanying costs continue to increase.

After the turning point, a growth plateau is formed, forming the upper part of the curve. This part is called the upper asymptote. Basically, this is the mature stage of the project. This maturity is due to the fact that most projects have been completed and are in progress at this time. Generally speaking, at this point in the process, only tasks such as finishing and final approval are left.

How to Generate S-curves?

Benchmarks for projects

On a regular basis, percentage S-curves can be used to compute critical project benchmarks, such as:

Percentage growth projections (Target and Baseline S-curves)
Percentage slippage in the project (Target and Baseline S-curves)
To date, the actual percentage completed has been compared to the target percentage completed.
To date, the actual percentage completed has been compared to the baseline percentage completed.

What is the process of creating an S-curve?

A Baseline Schedule is necessary to create a Baseline S-curve. For each task, the Baseline Schedules should include the following information:

Dates of the baseline start and finish
Man-hours and/or cost baselines

A Production Schedule is required to generate Actual and Target S-curves. For each task, the Production Schedules should include the following information:

Actual Start and End Dates
Costs and/or actual man hours
Actual Completion Percentage

Common uses of the Curve S in Project Management

Some of the most common uses of S-curve are to measure progress, evaluate performance, and make cash flow forecasts. The S-curve in project management helps to monitor the success of the project as cumulative real-time data from various project elements-such as cost-can be compared with projected data. The degree of alignment between the two charts indicates the progress of the project under review-or lack of progress. If corrections are needed to get back on track, S-curve can help identify them.

Throughout the life cycle of a project, S-curve can be used for many different purposes. Some of the main uses of S-curve are discussed below:

Banana Curves or Scheduled range of Possibilities:- This is probably the most important use of the bowl. As we all know, most planning software with

Quality
Man hours
Cost

The banana shape curve shows us the range of possibilities for the project to be completed on time.

Quantity output comparison:- Another important use of the S-curve is to evaluate the volumetric performance that your project will produce. This is mainly used in the construction and manufacturing industries.
Cash Flow forecasts:- The next use of the S-curve is to develop cash flow and predict the changes that cash flow will bring. What is it? Well, cash flow is the time and flow of funds related to tasks and events that occurred during the execution of the project.

This cash flow curve is very useful to stakeholders. The main benefit of creating a cash flow curve is that it allows you to assess cash requirements and actual payment time based on the company's accepted commitments.

Performance and Progress Evaluation:- The S-curve is mainly used to evaluate the progress and performance of related projects. This is achieved through the use of earned value management. The S-Curve in project management diagram is traditionally generated as part of the EVMS process and is the basic building block for evaluating project progress and project performance.

In order to determine the current state of the project and future predictions, many factors need to be evaluated. They are:

Performance Measurement Benchmark (PMB), also known as planned value
Earned value
Actual cost

All of these factors must be compared with the planned curve to produce results. This comparison makes sense, because if you want to know if the project is over budget or if other tasks are going on as planned, you can view the graph and your query will be answered immediately.

Determining Growth, Slippage and Progress

Choosing a Growth Strategy

When the Baseline and Target S-curves are compared, it's easy to see if the project's scope has expanded i.e. Target S-curve finishes above Baseline S-curve or shrunk i.e. Target S-curve finishes below Baseline S-curve. A change in the project's scope necessitates a re-allocation of resources (increase or decrease) as well as the very real possibility of contract variation increases. If the resources are fixed, the project's duration will either rise (complete later) or decrease (finish sooner), necessitating the submission of an extension of time claim.

Identifying Slippage

The term "slippage" is defined as: The length of time that a task has been pushed back from its initial schedule. The difference between a task's scheduled start and finish dates and the baseline start and finish dates is known as slippage. When a baseline plan is established, and the actual dates submitted for tasks are later than the baseline dates, or the real durations are greater than the baseline schedule durations, slippage might occur.

Any project slippage is easily seen by comparing the Baseline and Target S-curves i.e. the Target S-curve finishes to the right of the Baseline S-curve. In order to remove or at least lessen the slippage, more resources will need to be allocated or more hours will need to be worked. If the slippage cannot be eradicated or reduced to an acceptable level, an extension of time claim may be required.

Keeping Track of Progress

The difference between the Target S-curve and the Actual S-curve reflects the project's development over time. For the majority of the project, the Actual S-curve will be lower than the Target S-curve (due to many factors, including delays in updating the production schedule). The curves will only converge and intersect near the end of the project. The Target S-curve can never finish higher than the Actual S-curve. If the Actual S-curve at the Cut Off Date is higher than the Target S-curve, the Production Schedule should be reviewed to see if the project is actually ahead of schedule or if the Production Schedule contains unrealistic percentage completion values for continuing jobs.

Conclusion

Nowadays, project management is a very tricky business, and if you want your business to succeed, you need to monitor many factors. S-curves are a useful tool for project management. They enable for the visual tracking of a project's progress through time, as well as the creation of a historical record of what has occurred thus far. Project managers can use S-curve analysis to swiftly identify project growth, slippage, and prospective difficulties that could have a negative impact on the project if no action is taken.

These factors need to explore the appropriate tools and parameters, and S-curve is just that. We can use an incredible tool that can help us monitor the cost of all man-hours and other factors. Therefore, if you want your business or project management activities to be successful, use S-curve to research in depth and get rid of all problems. The S-curve can be particularly useful when companies are trying to best understand new product launches and their impact on demand, supply, and finances.

Several mathematical equations produce S-curve in project management of different shapes, where shape refers to the beginning, end, and steep time of the four stages of market growth (start and slow growth, rapid growth, slow growth again, and no growth). This article is titled “What is S-curve in Project Management?” will help you to make the S-curves in your project.

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Sep

10 Most In-Demand Programming Languages

iCert Global Other 0 2021-09-21 1545

Almost everyone knows that today’s technology is changing at a fast pace. It has become quite normal to see alternative technologies that are frequently exceeded with regular updates and advances. In the middle of all this, a domain that has hit a lot with such volatile nature of the technology world, and this is the programming language!

The good news is that as you start your career as a software developer, you'll begin to figure out which programming language is best for you, your interests, and your professional objectives. For several of the most prevalent use cases, such as web development, mobile development, game development, and more, the greatest and most in-demand programming languages to learn in 2021 will be explored in this article.

Top 10 Programming Languages

1. Python:-

The language has experienced huge growth of about 18 to 19% in the last 5 years. In the Pypl index, Python is classified in position number 1 for the 2020 December index. The language is among the most popular programming languages on different other renowned platforms, such as overflowing the battery, Github, etc. Furthermore, compatibility with Python technologies such as Ai & ML trends makes it more preferable among developers. This is the best programming language to learn in 2021.

2. C or C++:-

Talking about all in the language C, the programming language of generic procedures is more commonly used in the development of low-level systems, such as operating systems, main development and others. This language can be used in developing games, VR and many more.

And many other programming languages inherit the properties of this particular language. On the other hand, C ++ is a marked programming language (mainly developed as an extension of C). The language is widely used in the development of games, GUI and desktop applications and competitive programming along with several other fields. This can be the best programming languages to learn in 2021

3. PHP:-

The open source server side script language is used for website development and meets some exceptional features such as cross-platforms compatibility, objective programming functions, easy integration with HTML, CSS, JavaScript, etc., support for the community and many others.

The language is strongly recommended for beginners, as it is quite easy to learn. Some of PHP's popular frameworks that can be considered are Laravel, Symfony, CodeIgniter, etc. Therefore, if you can't wait to enter the web development domain, PHP would be an excellent option for you! This is one of the best programming languages to learn in 2021.

4. Scala:-

Several technology giants like Netflix, Linked In, eBay, Twitter, etc. They are using scale for their respective platforms and products. It is highly recommended for beginners to opt for scale due to its easy to learn behaviour. Since many other companies expect to incorporate scale into their activity and consider their significant request among the developers. Scala can be the best language to learn for the future.

Furthermore, the Scala code can be converted into byte codes and can be performed on the Java virtual machine. The language is widely used in the web development area, in data science and automatic learning. This is the best programming language to learn in 2021.

5. Go:-

Although Go is not that much popular programming language, in recent years, it has witnessed a significant increase in its demand and popularity among the developers. Companies like Uber, Google, etc.

They are working with Go Language and you can choose to learn. It seems that you seem that the language will be larger and larger in the coming years. This can be the best programming language to learn for the future. It provides you with numerous enrichment features, such as waste collection, dynamics, type security, high performance and efficiency and many others.

The language allows multithreading and can be used in the distributed system, in cloud computing, etc. The best thing about the language is that it solves different problems, such as a slow compilation and execution, the lack of availability of the rich standard library, etc. This could be the best programming languages to learn in 2021.

6. Kotlin:-

In the current scenario, provided there is a speech of the development of the Android application, the name of 'Kotlin "is undoubtedly first! However, a great inclination of developers to Kotlin is evident after Google has declared it as its favorite language for the development of Android applications.

As is known to all those in the Android's market , you are not going to retire at any time, so you can choose to learn from Kotlin by 2021 from some professional opportunities that are worthwhile in the future. This can be the best programming language to learn in 2021.

7. R Language:-

Several companies with great techniques like Facebook, Google, Uber, etc. They are using the R language for their activities and considering the rapid request for data science trends and machine learning, the learning of the programming language R is worth it for their future career efforts.

Furthermore, it can be easily integrated with different data processing technologies such as Hadoop & Spark. Some of the other exceptional features of this particular language, such as the compatibility of crossed-platforms, extremely extensible graphic functionality, and strong distributed calculations, etc., make it a more preferred language among developers. This could be the best programming language to learn in 2021.

8. Javascript:-

Many languages have come and disappeared, but Javascript is one of those few renowned languages that enjoy a great career and demand in the world of programming. Meanwhile, some of the famous companies in the world of technology that use JavaScript are Facebook, Google, Microsoft, Uber, etc. This language can be used for e-commerce websites, app development, etc.

Furthermore, the language is used for the development of the front-end and the development of the back-end. Furthermore, its compatibility with some prominent frames such as reaction, vue, node, etc. It makes it more preferable among the developers. Because there are millions of websites that already exist through the web that are largely based on JavaScript and at the top of that, observing the demand and domain of language. This is the best programming language to learn in 2021.

9. Swift:-

If you are interested in Apple products and the development of mobile demand, Swift is a good starting point. Before being announced by Apple in 2014, Swift is a relatively new programming language that is used to develop iOS and MacOS applications. Also, this can be the best programming language to learn for the future.

Swift has been optimized for performance and was built from scratch to match the realities of modern iOS development. IOS does not only work on each iPhone and iPad, but it is also the basis for other operating systems, such as watches (for Apple watches) and tvOS (for Apple TVs).

10. HTML:-

Technically, HTML is a markup language, which means that it is responsible for formatting information training on a website. Essentially, HTML is used to describe the web pages with ordinary text. This language is used for various purposes like web documents, website development, website maintenance and so on.

It does not have the same functionality as other programming languages on this list and is limited to the creation and structuring of the text on a site. The sections, headers, links and paragraphs are part of the HTML domain. This is the old and best programming language to learn in 2021.

Conclusion

The world is becoming increasingly digital, and as more and more aspects of our life become digital, the demand for computer expertise is increasing every day. As a result, knowing programming languages has become essential for any IT professional. Programming languages, in fact, are at the heart of this ever-expanding subject of computer science. If you're new to programming, picking up a new language or framework is critical. As a newcomer to the realm of programming, make sure you stay consistent in your learning and coding. However, deciding on the finest one from a pool of hundreds of programming languages can be difficult and perplexing.

It's crucial not to get caught up in flashy trends or popularity competitions while picking which programming language to study. The top programming languages to learn in 2021 are expected to be the same as they were in 2017 and 2018, and this trend will likely continue for the next several years. Despite the fact that the area of computer programming is continuously changing, the languages we've explored so far have a lot of staying power. You'll be in great shape not only this year, but in the years to follow if you study one or more of these languages.

Despite the fact that there are hundreds of programming languages, just a few are on the list of languages you should be familiar with. Learning one of these languages is a fantastic place to start if you want to start a career as a programmer, make a lateral shift into another industry, or rise up the ladder at your existing employment. You can find the appropriate match for you because courses span from Python for beginners to Java for experts.

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Sep

What Are Different Types of Agile Methodologies?

iCert Global Agile and Scrum 0 2021-09-20 2672

The agile software development methodologies were created in 2001 and were based on the revered agile manifesto, which laid out the principles and core practices. It's important to understand what agile is before diving into the definition of agile methodologies.

Agile is a set of practices used by a team to manage a project or plan by breaking it down into stages and collaborating with customers on a regular basis. Every stage of the project's software development is constantly monitored. The advantages of the agile technique include that, unlike the traditional waterfall methodology, both development and testing activities are concurrent and synchronised.

What is Agile Methodology?

The agile methodology is one of the simplest and most straightforward ways to turn a concept and a variety of requirements into workable software solutions. The Agile methodology is an iterative and incremental approach to software development that emphasises continuous planning, understanding, updating, team collaboration, development, and delivery. The agile method is broken down into individual models that teams work on, allowing for more adaptability to changes.

The agile process begins with customers specifying the end uses of the final product and the types of problems the final product seeks to solve. It is guided by the ideals of giving value and engaging with stakeholders. This exercise aids the project development team in resolving and clarifying the customer's expectations and requirements.

As soon as the project begins, the selected teams begin to prepare and work on a comprehensive process that includes planning, implementation, and evaluation. Errors are resolved in the project's intermediate stage because the development process is iterative. This method allows the final deliverable product to better match the needs of the customer.

Different Types of Agile Methodologies

There are several sorts of agile methodologies available on the market to meet the needs of each project. Despite the fact that there are various agile techniques, they are all founded on the agile manifesto's key ideas.

As a result, any framework or behaviour that adheres to these principles is referred to as Agile, and regardless of the various forms of agile techniques that a team employs, the agile methodology benefits can only be fully realised with the participation of all parties involved. The following list of agile techniques includes well-known forms of agile approaches from which to choose:

1) The Kanban system

The phrase ‘Kanban,' which comes from the Japanese language, means “visual board or signboard” and is linked to the concept of “just in time”! Initially established as a lean manufacturing method, the Kanban concept has gradually found its way into agile software development teams. This method develops and manages projects using visual methods.

Kanban projects are managed with the use of a Kanban Board, which is separated into columns to illustrate the software development process flow. This increases team visibility by allowing them to see progress through each stage of production and prepare for impending activities in order to deliver the product "just in time"!

This method necessitates extensive engagement and transparency in order for team members to be aware of the current state of development at all times and to maintain a continuous flow of work.

Kanban is a process intended to promote collaborative working more successfully, similar to Scrum. It functions effectively based on three principles:

It could be quite helpful to see what needs to be done today, i.e. workflow automation, which specifies all the pieces in relation to one another.
To keep the flow-based method in harmony by limiting the amount of work in progress, so that teams don't start and commit excessive work all at once.
When a task is close to being completed, the next priority would be to bring something from the backlog into play.

2) Scrum: A software development methodology.

The agile scrum development approach, which is portrayed through numerous development cycles, is one of the most common agile methodology examples. Scrum, like Kanban, divides the development process into stages or cycles called sprints. Each sprint's development time is maximised and devoted, allowing only one sprint to be managed at a time.

Scrum and agile techniques emphasise ongoing deliverables, therefore this strategy allows designers to alter priorities to guarantee that any sprints that are incomplete or overdue receive further attention. The Scrum Team has dedicated project responsibilities such as a scrum master and a product owner, with daily scrums where activities are harmonised to determine the best method to implement the sprint.

3) XP (Extreme Programming)

Extreme Programming (XP) is a software development process that prioritises collaboration, communication, and feedback. It emphasises continuous improvement and client happiness. This strategy, like scrum, makes use of sprints, or short development cycles. This is created by a group of people in order to produce a productive and efficient workplace.

In a circumstance where clients have frequent and fluctuating expectations, the Extreme Programming technique comes in handy. It encourages developers to accept modifications in customer requirements, even if they arise late in the development process.

In Extreme Programming, the project is tested from the beginning by gathering input that improves the system's output. This also serves as a spot check to ensure that any consumer requests are easily implemented.

4) Crystal

Crystal is a series of smaller agile development approaches that include Crystal Yellow, Crystal Clear, Crystal Red, Crystal Orange, and more, and was introduced by Mr Alistair Cockburn, one of the key figures in establishing the Agile credo for software development. Each has its own unique structure, which is defined by criteria including system criticality, team size, and project priorities. The type of crystal agile methodology is chosen according to the nature of the project or system criticalities, such as Comfort (C), Essential Money (E), Discretionary Money (D), and Life (L).

Crystal, like other Agile approaches, focuses on timely product delivery, regularity, minimal administration with high user interaction, and customer satisfaction. The Crystal family believes that each system or project is unique, necessitating the use of a variety of techniques, processes, and policies to obtain the best results, giving them the title of agile methodology's lightest approaches.

5) Dynamic Systems Development Method (DSDM)

The Dynamic Systems Development Method was created in response to the demand for a common industry charter for the rapid delivery of software. DSDM provides a comprehensive structure that can be developed and adjusted to plan, execute, manage, and expand software development processes. The DSDM believes that project modifications should always be expected, and quality and timely delivery should never be negotiated, based on a business-driven strategy and eight principles.

6) Lean

Although it is a deeply adaptive, evolving methodology with the absence of fixed principles, laws, or techniques, it is an iterative, agile methodology that leads the team on addressing client values through persuasive value stream mapping.

The following are some of the core Lean principles:

Uninterrupted advancement
Respect for other people
Eradicate waste
Rapid delivery
Knowledge-making and
Defer commitment.

In comparison to the hierarchical flow of control, Lean offers each individual and small team decision-making authority. It focuses on the effective utilisation of team resources and ensures that everyone is as productive as possible for as long as feasible.

Conclusion

As the struggle for market share tightens, agile development offers a number of benefits and few negatives. More and more businesses are migrating to a digital environment that emphasises agility, extensibility, and increased productivity, as well as agile approaches.

Choosing the proper agile methodology from the several forms of agile methodology necessitates a dynamic approach. In order to entice talent and deliver outstanding digital experiences in this fiercely competitive industry, the advantages and downsides of agile methodology must always be weighed while choosing the framework for one's firm.

Each highly-operating enterprise must evolve quickly, reveal, and achieve remarkable results in less time. At the same time, when an individual works in a team of exceptionally brilliant and motivated people, there will be certain limitations and disparities in terms of concept, perspective, and techniques. All of these difference matrices can be normalized/derived using the Agile method. Any Agile Methodology that is appropriate for any business is dependent on a number of criteria.

Individuals that are willing to apply Agile methods are classified as team types.
The size of the organisation and the circumstances under which an individual seeks to ascend agilely from the bottom to the top
Organizational culture: To identify whether a company is ready for, or interested in, a highly-configured agile strategy, or prefers more conforming methods.

Agile development is based on an incremental paradigm that promotes team communication and continuous planning, as well as continual evolution and learning. Agile approaches should respect the software development cycle - planning, execution, and final delivery – allowing software to be produced in stages, making bug detection and resolution easier. Because Agile approaches are incremental, the major benefit is not just the quick delivery of software, but also the constant delivery of value to the customer.

However, agile software's numerous applicability in multiple industries, as well as accompanying benefits in the digital workplace, have prompted widespread adoption around the world.

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Sep

Certified Associate in Project Management

iCert Global Project Management 0 2021-09-17 1127

The CAPM (Certified Associate in Project Management) credential is designed to assist candidates in learning the skills required for entry-level project management roles. It may serve as the first step toward a career in the sector. The Project Management Institute (PMI) offers various internationally recognized project management qualifications, and the Certified Associate Project Manager (CAPM) certification is a good place to start if you're new to the industry.

Earning the CAPM certification can assist in establishing a dedication to project management as a profession and add credibility to your CV if you don't have the required experience for the Project Management Professional (PMP) test.

What is CAPM Certification?

Passing a proctored exam at an approved test center or online is required for the CAPM. The exam is targeted toward persons interested in managing larger, more difficult projects, taking on a larger responsibility, or expanding their project management knowledge and skills. It focuses on project management ideas, processes, and terminology.

The Certified Associate in Project Management is an asset that will distinguish you in the job market and boost your credibility and effectiveness working on — or with — project teams, regardless of your professional stage. According to our 2015 Pulse of the Profession® report, organizations with standardised procedures achieve greater results. You'll stand out to employers and be ready to move forward since the CAPM® validates your knowledge of the profession's top global standard. Project management is a career that is rapidly expanding.

Prerequisites for Certified Associate in Project Management

To take the CAPM, you must have completed 23 hours of project management instruction and have a secondary degree (high school diploma, associate's degree, or global equivalent) by the time you take the exam. To keep their CAPM certification, CAPM holders must obtain 15 PDUs every three years.

CAPM Certification Costs

Passing one exam is required for the CAPM. As of July 2021, the exam costs are as follows:

Non-PMI members will be charged $300.
$225 for PMI members

A PMI membership costs $129 per year, plus a $10 one-time application fee. As a new member, this takes the total cost of becoming CAPM-certified to $364. A free download of the PMBOK (Project Management Body of Knowledge) Guide and access to a project management job board are among the benefits of membership.

You may be qualified for the student bundle, which costs $257 if you're a full-time student in a recognized, degree-granting school. This includes a $32 membership fee as well as the CAPM exam fee. You might also ask faculty members who teach project management courses at your institution if they have any bulk purchase arrangements with PMI, which could save you even more money.

If you're already employed and believe the CAPM will benefit your company, talk to your senior executives about whether your company will fund exam and training costs.

Is the CAPM worth it?

Earning a certification frequently leads to more opportunities, as it does with most certifications. The CAPM is a globally recognized certification that can provide new project managers with the following advantages:

Ensures that you have a firm grasp of project management.
It improves your trustworthiness.
Establishes your resume with a professional achievement from a well-known organization.
Assists you in gaining the respect of your peers and project managers.
Increases your self-assurance in your talents
Increases your chances of getting a promotion and a higher income.

For many people interested in a career in project management, the CAPM will be worth the time it takes to learn and pass the exam, given the benefits and relatively low cost of the exam.

A CAPM certification will demonstrate the following, in addition to improving your job prospects: Your knowledge, vocabulary, and processes related to global project management foundations. Your capacity to work in a project team – or with one. Your dedication to project management and personal skill development is admirable.

What to Expect on the CAPM Exam

The CAPM exam is a proctored online exam administered by the Project Management Institute (PMI), with questions based on the PMBOK Guide. It is made up of 150 multiple-choice questions that must be answered in three hours. To preserve your credentials after passing the exam, you must earn 15 PDUs every three years.

Exam preparation for the CAPM

You may have concerns about what to expect on exam day, such as what to bring if you're taking the test at an approved test center standardized what technical requirements your computer must meet if you're taking the test at home. To assist alleviate any unnecessary tension, PMI provides answers to a variety of frequently asked topics. It also includes an exam content outline to give you get a sense of what to expect in terms of learning objectives and weighting across the test's 13 focus and knowledge areas:

An overview of project management
The project's setting
Project manager's responsibilities
Management of project integration
Management of the project's scope
Management of project schedules
Management of project costs
Management of project quality
Management of project resources
Management of project communication
Risk management in projects
Management of project procurement
Management of project stakeholders

CAPM Training Courses

Training courses for CAPM

CAPM training is available directly from PMI or through these PMI-certified in-person and online trainers.

PMI: This official PMI online course for new practitioners focuses on PMI standards and technical skills. Non-members pay $400, while members pay $350.
Project Management PrepCast: Master the knowledge, skills, tools, and approaches required to pass the CAPM test with this video-based instruction. A test simulator is also available.
GreyCampus: This 2- or 3-day boot camp is conducted by a teacher and includes mentorship and assistance, as well as an exam simulator.
Simpli Learn: This online boot camp gives prospective project managers an overview of project management principles as well as knowledge of the five process groups and ten knowledge areas. There's also an exam simulator included.

Additional resources for CAPM Preparation

PMI provides guidance and tools, such as the CAPM Handbook, sample questions, a list of approved registered education providers, and more, to help you pass the CAPM.

Qualified project management experience is in high demand, with about 1.57 million new jobs produced each year, and the CAPM certification is an excellent way to start a fulfilling career in project management.

Certified Associate in Project Management Salary and Jobs

Project management positions are in high demand, and as the competition for experienced Project Management Professionals (PMPs) heats up, many businesses will turn to hire CAPMs. This opens up positions such as project manager assistant, associate project manager, jr. project manager, project coordinator, project delivery manager, and others for new CAPMs.

Project management is a skill that is in high demand and a rising career field. According to research by Burning Glass Technologies, over 280,000 entry-level project management opportunities were advertised between March 2020 and February 2021. According to the research, the number of these job openings increased by 51% from 2017 to 2019.

According to a report published by the PMI in 2021, by 2030, the global economy will require 25 million new project professionals to meet demand. As of July 2021, a Certified Associate in Project Management earns an average salary of $67,476 in the United States.

Does a CAPM have an expiration date?

Unlike PMP, CAPM does not necessitate the acquisition of Professional Development Units. The CAPM accreditation, on the other hand, is only valid for five years. You must repeat and pass the exam during your fifth year. If your CAPM certification expires, you must reapply as if you were a new candidate.

Is it possible for you to add CAPM to the end of your name?

As long as your credentials are valid, you can use CAPM in your correspondence, website, business card, email signature, and letterhead. However, PMI forbids it from being used as part of a company name, a product name, or a domain name.

PMP vs. CAPM

The CAPM certification is an associate-level certification offered by PMI for persons interested in project management or those who are new to project management and have little or no practical experience. The Project Management Professional (PMP) certification is for project managers who have at least 4,500 hours of experience managing and directing project teams.

Should you get the Certified Associate in Project Management or Project Management Professional(PMP) Certification?

Obtaining the CAPM certification as an entry-level certification can make sense if you have little or little project management expertise. It can be a good method to enter into the sector, or it might help you take on more project management-related responsibilities at work. Your choice should be based on your personal objectives. It'll also be useful to know how much the exam will cost, as well as your other possibilities.

The PMP is a recommended consideration if you have at least three years of project management experience. The PMI also offers the Project Management Professional (PMP) credential. The PMP is a professional-level certification. With over one million PMP holders globally, the PMP is also significantly more popular than the CAPM.

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Sep

What is Project in Project Management?

iCert Global Project Management 0 2021-09-16 1376

In today's highly competitive global business world, the ability to deliver projects on time, on budget, and in alignment with corporate goals is critical. Project managers play a key role in this. Project managers have a difficult job that requires a combination of organisational skills, analytical thinking, and excellent interpersonal skills.

A project is defined as a set of tasks that must be performed in order to achieve a specific goal. The term "project" is defined by the Project Management Institute (PMI) as "any temporary undertaking with a known beginning and finish." It can be controlled by a single person or hundreds of people, depending on its complexity. A project can also be defined as a collection of inputs and outputs necessary to accomplish a specific aim. Projects might be simple or complex, and they can be managed by one or a hundred people.

A manager or executive is frequently in charge of describing and delegating projects. They discuss their objectives and goals, and the team is responsible for managing logistics and completing the project on schedule. There are occasions when deadlines are set. For good project productivity, some teams break it up into individual tasks to manage accountability and utilize team strengths.

A project isn't something you do every day. Because it lacks a defined start and end, day-to-day operations or maintenance is not considered a project. The discipline of utilising information, skills, tools, and strategies to execute a project according to precise requirements is known as project management. It all boils down to identifying the issue, devising a strategy to address it, and then carrying out that strategy until the issue is resolved. That may appear to be a simple task, but there is a lot that goes into it at each stage.

A project`s characteristics

A project is a collection of interconnected tasks with a shared purpose. The following are features of projects:

A project is not the same as a process - Projects and processes are frequently confused. A process is a set of predetermined processes that must be followed in order to fulfil a specific function, such as cost reimbursement approvals. It's not a one-time thing. It determines how a specific function is carried out on a consistent basis.
A specific start and end date - While some initiatives may last several years, they cannot continue indefinitely. It must have a distinct beginning, a distinct end, and a summary of what occurs in between.
A project creates something new - Each project is one-of-a-kind, creating something that didn't exist before. A project is a one-time, one-of-a-kind action that will never be done again in exactly the same manner.
A project has limits - A project operates within time, budget, quality, and functionality constraints. In the following sections, we'll go through this in further detail.

The nature of projects

Projects are available in a variety of shapes and sizes. A project can be:

Be big: Like the Hoover Dam, your project should take years to finish and have a massive budget.
Consider a little job, such as laying a pathway in your grass on a weekend.
Involve a large number of people: It's similar to arranging a wedding.
Rearranging the images in your wedding album by yourself

Various types of Projects

The ways in which projects are implemented can vary greatly. Here are some project examples:

Traditional projects: These are carried out in stages, one after the other. Initiation, planning, execution, monitoring, and closure are the most common phrases. Traditional project management is used in the majority of high-cost infrastructure projects.
Agile initiatives are commonly utilised in software development. They are adaptable and people-oriented. In addition, they usually have quick turnaround times.
Remote projects are typically employed by distant teams that meet seldom in person. A remote project is one that involves managing freelance participants.
Projects outsourced to an agency: Projects outsourced to an agency are likely to have several clients. Agencies are frequently used to handle marketing and design initiatives.

There are five stages to a project's life cycle.

Projects are frequently organised into five project phases, each of which has its own set of activities, objectives, and deadlines. By breaking down a project into phases, teams can stay on track throughout its full life cycle.

1. Initiation

Initiation is the first stage of a project's life cycle. A project is formally launched here. It is given a name, and a broad strategy is laid out. The project's constraints, hazards, and stakeholders are all recognised, as well as the project's goals. Shareholders must now determine whether or not they want to invest in the project. Studies may be undertaken to determine the project's feasibility, depending on the project. Requirements are typically obtained and reviewed during the commencement phase of IT projects.

2. Preparation

During the planning step, a roadmap is created that will take teams from the creation of a project plan to the project's execution and closure phases. There must be deadlines specified and resources allocated. It is easier to manage project risks, costs, quality, time, and other factors when jobs are broken down into smaller, manageable operations. Simultaneously, breaking down duties into manageable chunks will enable everyone involved to complete the project on schedule and on budget.

3. Implementation

During the execution phase, the project plan is put into action. Teams will work on the deliverables at this time to ensure that the project fits the requirements. Everyone normally joins for a meeting to mark the project's official start, when teams may get to know one another and discuss their roles in the project's success. Before the project plan is implemented, communication modes and project management tools are identified.

Furthermore, team members become familiar with the required status meetings and reports that will be held during this phase to collect project data. The project execution phase is crucial in the life cycle of a project since it determines whether or not everyone's efforts will be profitable in the end.

4. Controlling and monitoring

The monitoring and control phase occurs concurrently with the execution phase. The project manager's role is to oversee operations and ensure that everything is going according to plan. Project managers must monitor resources, manage risks, lead status meetings, and prepare reports, among other things, in addition to managing the project's performance. If unexpected problems develop, the project manager may need to make changes to the plans and the timetable.

5. Concluding

The last stage of the project management life cycle isn't as straightforward as simply delivering the product. During the project closing phase, project managers must keep track of all deliverables, organise records in a centralised area, and hand over the project to the client or the team in charge of managing its operations. Not only that, but teams meet for a final meeting to review the lessons they've learned and to recognise each member's hard work.

How to put a project into action

Depending on the methodology employed, the process of implementing a project can differ. Implementation is done in five steps in traditional project management.

Initiation: This phase entails persuading stakeholders to support the initiative. A Project Initiation Document (PID) is generated with basic project information such as likely resource utilisation and viability.
Once a project has gotten stakeholder consent, it enters the planning phase. This is a crucial phase that entails a variety of duties such as contingency planning, work allocation, and resource sharing planning.
Execution: This is the stage in which the real task is carried out. Periodic assessments are carried out to guarantee that execution is completed on time.
Monitoring is done in conjunction with execution. To ensure that work proceeds without problems, the project manager must keep a close eye on everything.
Closure: This phase includes the project's critical final tasks, such as delivering the project to the client and recording the project's learnings.
A project is said to be well implemented whenever these steps are completed.

How project management aids project management

Projects can be extremely complicated enterprises that need a significant amount of time and resources. Using project management principles, regardless of the purpose, will ensure that the effort runs smoothly. Projects will be handled haphazardly if proper project management principles are not followed, and they will be at a much higher risk of failing, delaying, and going over budget.

Knowing the basics of project management increases one's chances of effectively completing a project. Project management approaches and frameworks enable organisations to lead projects in the right direction, regardless of their sector or expertise.

What are the responsibilities of project managers?

In a nutshell, project managers are in charge of project planning, execution, monitoring, control, and completion. However, that is only the tip of the iceberg when it comes to project management. The following are some of the most important project manager responsibilities:

Build the plan: Project managers are in charge of charting the project's most realistic path. The project scope, timeline, and money must all be included in the plan. This may also entail determining the appropriate tools for the work.
Assemble the team: Choosing the right team is essential to the project's success. Depending on the extent of the initiative and the functions required to accomplish the project, each project team will be unique. It's best to find specialists and subject matter experts for each of the required duties.
Assign tasks: Project managers must provide a detailed description of specific tasks and timelines for each phase of the project to their team. Despite the fact that each team member will be responsible for their own duties, many activities will necessitate collaboration from both internal and external team members.
The project manager must keep the machine well-oiled now that the team has been recruited and their tasks have been assigned. This will entail checking in on people for updates, detecting and removing bottlenecks, resolving conflicts, maintaining strong team morale, and offering training and mentoring.
Budget management: Most projects will necessitate some expenditures, thus knowing how to set together a project budget and manage costs is vital to success. This will entail comparing actual spending to estimates and, if necessary, revising the project plan.
Managing timelines: Just like with the budget, project managers are responsible for keeping things on track so that the team may fulfil their estimated completion dates. Setting realistic deadlines throughout the project's lifecycle, communicating regularly with their team for status updates, and maintaining a thorough schedule are all required.
Stakeholder engagement: Stakeholders play an important role in your project. They are usually powerful persons who will be impacted by the project. Stakeholders can assist in clearing hurdles and empower your team, but they can also create unneeded bottlenecks and derail a project if they are unhappy with the direction. Project managers must maintain a good connection and an open line of communication with them.
Transfer of the project: The project manager's job isn't done just because the project's objectives have been met. The project manager must now hand over the project to the team that will oversee its management, maintenance, and operation in the future. The project manager will then be allocated to a new project and will no longer be the "go to" person.
Keep a record of the procedure: Identifying and documenting "lessons learned" is a valuable practice not just for personal project manager development, but also for passing on that knowledge to other teams in the business. Others will be able to avoid making the same mistakes or make use of the shortcuts that have been discovered as a result of this.

How Management Software Is Useful for Projects?

Bringing your team together and preparing them to work as a team is critical to the success of your projects. However, if you don't have the right project management software, you can end up doubling your efforts rather than streamlining them. Consider how much time you've wasted handling spreadsheets and dealing with an overcrowded email. You may be more strategic with your resources if you have the correct tools.

Job management/collaboration tools and personal productivity tools are two types of technologies that can help you manage your work more effectively. Project management software varies by team, but the majority are computer systems that allow users to plan, execute, and manage projects all in one place.

Regardless of the size of the organisation or the industry, project management software is advantageous to all firms that manage projects. Anyone, including businesses that don't perform formal projects, can use the software's project planning and resource management capabilities.

Project management software may help any firm that needs an efficient way of estimating, planning, tracking, delivering, and charging for their services. It enables you to design, implement, and monitor effective and optimal business processes for your team.

Project management software can be used for a variety of tasks, including:

Planning a project
Timetables for projects
Allocation of resources and capacity planning
Keeping track of project costs and budgeting
Management of a project portfolio
Management of business processes
Management of the workflow
Management of quality
Documentation and project records are stored and shared.
Producing and disseminating project reports
Keeping track of the time spent on project tasks
Trend analysis and forecasting

What types of people should use project management software?

Project management software can help anyone who manages projects. Project management software can be useful even if you don't handle formal projects or have the title of "project manager."

Many businesses do not engage in traditional project management utility software to plan, organise, track, monitor, and execute their work. These tools, like projects, come in a variety of shapes and sizes. Some of your ideas, for example, maybe basic processes involving only you and another person, while others may require many teams to fulfil over the course of months (or even years).

Three types of tools that can assist with task management and teamwork.

1. Instant chat solution that works in real-time

Any organisation needs a solution that allows employees to voice or video chat with faraway colleagues in real-time. In meetings, you need to be able to hear your coworkers, and it's even better if you can see them (because, as we all know, non-verbal communication is just as important in these situations).

In the instant messaging market, there is fierce competition. Along with an increasing variety of mobile-first applications, Slack, Zoom, Google Hangouts, Skype, Chatter, and Facebook Messenger dominate the field.

2. Tool for creating a knowledge base

Consider a repository for your team's collective knowledge, accessible to all members via a searchable database. This can be accomplished via knowledge management technologies such as internal blogs or wikis (something Wrike can do very well). These technologies allow you to document processes and capture expertise or best practices to share with your team, ensuring that everyone has access to the information.

3. A file-sharing application

You'll need a simple way to share files if you want to work cooperatively. It is possible to attach files to emails, although this is discouraged because it frequently causes problems and wastes time. File-sharing software makes it simple to save, sync, and share files with your colleagues. There are many possibilities, including Box, Dropbox, OneDrive, and Google Drive, all of which interface with Wrike directly. You can quickly attach files from these services to your tasks if you use Wrike.

Tools for personal productivity

Every 11 minutes, the average worker is distracted. It might be difficult to block out distractions and focus entirely on work, which is why many people use productivity software. Productivity apps may turn off alerts and messages, forcing you to focus on one browser tab at a time, drown out the noise in your office (or home office), and help you organise your work.

Many firms, however, discover that these technologies aren't versatile enough to handle all types of projects. When project management is done solely through email and group chat, information is lost, document versioning issues arise and prioritising and task dependencies are unclear. This is where project management software enters the picture.

Important tasks to improve product lifecycle

1. Identification of project stakeholders

Key project stakeholders vs. stakeholders

Stakeholders in a project might be individuals or entire organisations who are impacted by the project's execution or outcome. It makes no difference if the project has a bad or positive impact on them; if they are affected, they are a stakeholder. Key project stakeholders, on the other hand, are those who have the power and influence to determine whether or not a project is a success. These are the individuals and organisations whose goals must be met, as they have the power to make or break the project. Even if all deliverables are completed and budgets are reached, the project will not be regarded as a success if the stakeholders are dissatisfied.

A project's typical essential stakeholders

The following are some of the most common significant project stakeholders:

Customers: The end-users of a product or service, who are frequently both internal and external to the firm that is carrying out the project.
The project manager is in charge of the project.
Members of the project team: The group in charge of completing the project under the direction of the project manager.
The project's financier is the project's sponsor.
The sponsor, executives, and key stakeholders from the organisation make up the steering committee, which provides guidance on crucial choices.
Executives: Those in charge of the project's execution; those in charge of the organization's strategy.
Other managers in charge of the resources needed to complete the project are known as resource managers.

Sellers/suppliers, contractors, owners, government agencies, media outlets, and even society at large are all examples of project stakeholders.

2. In project management, what are project objectives?

Simply said, project objectives are goals. These are the business goals you wish to achieve with the project. The clarity of a project's objectives is critical in project management since they will influence every choice made during the project lifecycle. Project objectives must be measurable and include key performance indicators that will be utilised to evaluate the overall success of the project. Budget, quality, and time to completion are frequently included in these measures.

3. In project management, what is a project charter?

A project charter is a formal, usually short document that explains your project in detail, including the goals, how it will be carried out, and who will be involved. It is an essential component of project planning because it is employed throughout the project lifecycle.

4. What is the best way to write a project charter?

Recognize the project's goals and objectives: Determine the project's scope and identify the project's vision.
Define the project's structure: List all of the project's critical responsibilities, including consumers, stakeholders, and the project's day-to-day personnel.
Make a plan for implementation: For the entire team and stakeholders, outline significant milestones, dependencies, and the schedule.
Make a list of potential issues: This isn't about being pessimistic; rather, it's about being realistic. Including potential risks and concerns in the project, the charter encourages everyone to plan ahead and even helps to avoid potential stumbling blocks.

5. Custom Workflow

Custom processes and statuses are available to all users on Business and Enterprise accounts; however, this is a regulated admin privilege, so some admins may not have it. Task statuses represent the various stages in which a task can be at any time during its lifecycle. Each process is made up of groups: Active, Completed, Deferred, and Cancelled. Workflows are made up of a collection of statuses. Custom workflows and statuses can be created for tasks and projects in Business and Enterprise. If an item has a specific status, they can designate who should be added as an assignee. Create a new workflow to match the needs of your team, and include statuses in it that reflect the common states of your tasks or projects.

Conclusion

It is important to understand that the term "temporary" does not apply to the project's outcome or service. The project may be finished, but the outcome is not. A project to create a monument, for example, would have a limited term, whereas the monument itself could be for an indefinite period of time.

A project is an activity that involves creating something new. Of course, many of the office buildings constructed are similar in many ways, but each one is distinct in its own way. Finally, a project must be developed gradually. This signifies that the project will be completed in stages and in increments. This also means that the project's description is refined at each stage, and the progress's goal is finally stated. This means that a project is defined first, and then as the project develops, the definition is examined and additional clarity is added to the project's scope as well as the underlying assumptions.

The project life cycle is made up of the phases of a project as discussed above. For management and tracking purposes, project managers find it useful to break the project into phases. Each state's milestones are then elaborated on and tracked for completion. The primary phases of a project are determined by the type of project being undertaken. A software project, for example, might include requirements, design, build, test, and implementation phases, but a metro or building project might have different names for each step. Each project phase is assigned a milestone, and the set of deliverables that each phase is intended to produce is tracked for compliance and closing.

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Sep

Understanding the Impact of Social Media [Pros and Cons]

iCert Global Other 0 2021-09-15 2333

Over the last 20 years, information and communication technology has evolved significantly, with the introduction of social media being a key development. The speed of change is quickening. For example, the evolution of mobile technology has had a big impact on social media's impact. Mobile devices dominate the world in terms of total minutes spent online. They made it possible for everyone to join from any location, at any time, and on any device.

The motivations that participants identified for sharing information on social media were exposed in a fascinating study by the New York Times Consumer Insight Group. These include the urge to provide people with useful and amusing material, to define themselves, to establish and nourish connections, and to spread the word about brands and causes they like or support. As a result of these causes, social networks have progressed from being a convenient way to keep in touch with friends and family to being used in ways that have a significant impact on society. Social media's influence is being utilised to change politics, business, international culture, education, careers, and innovation, among other things.

Impact of Social Media on Humankind

1. The Political Impact of Social Media

According to a new Pew Research study, roughly one out of every five Americans gets their political news mostly from social media. According to the study, people who get their political news primarily from social media are less well educated and more likely to be exposed to unsubstantiated claims than those who get their news from traditional sources.

The influence of social media in political campaigns has expanded in comparison to prior types of media. In political politics, social media has become increasingly important, first in Howard Dean's ultimately unsuccessful bid in 2003, then in Barack Obama's election as the first African-American president in 2008, and now in Donald Trump's Twitter-fueled campaign.

According to the New York Times, “the victory of Donald J. Trump is arguably the clearest example yet that social networks are helping to dramatically rewire human society.” Because social media allows people to interact more freely, it is facilitating the emergence of unexpectedly powerful social organisations among previously marginalised people.

2. The Impact of Social Media on Society

As social networks develop in power, they feed off of people's interactions. Because of the internet, anyone with a minority viewpoint can realize that he is not alone. When these people connect through social media, they can do things like developing memes, newspapers, and entire online worlds that support their point of view, then break into the mainstream. Social, ethical, environmental, and political concerns would have little visibility if not for social media. The balance of power has moved from the hands of a few to the majority as issues have become more visible.

An Alternative Look:

Slacktivism is slowly eliminating real activism as a result of social media. While social media activism raises awareness of societal concerns, the question of whether this awareness leads to genuine change remains unanswered. Some claim that social media has encouraged people to utilize computers and mobile phones to voice their worries about social issues without having to participate in real-life campaigns. Their involvement is restricted to pushing the 'Like' button and sharing content.

3. The Effects of Social Media on Business

With the rise of social media, finding a company that doesn't use one or more social media channels to reach out to customers and prospects is becoming increasingly rare. Businesses understand how important it is to use social media to communicate with customers and earn revenue. Businesses have realised that social media can be used to gather information, increase demand, and create tailored product offerings. Both traditional brick-and-mortar businesses and, of course, e-commerce require these obligations.

An Alternative Look:

A low number of social "shares" can affect negative social proof and corporate reputation. Interestingly, despite the fact that social sharing has become the norm rather than the exception in business, some businesses have chosen to go against the grain and remove social sharing buttons from their websites after witnessing firsthand some of social media's negative implications. Conversions increased by 11.9 percent after Taloon.com, a Finnish e-commerce shop, eliminated share buttons from product pages, according to a case study.

4. Social Media's Impact on Training and Development

Job seekers who learn the most up-to-date and advanced social media methods have a much better chance of landing a job. On behalf of Pearson and Connections Academy, OnePoll interviewed 2,000 U.S. parents and their high-school-aged children about the "new normal" of high school in 2020. Social media, according to 68% of kids and 65% of their parents, will be a valuable tool and part of the new high school normal. Many educational institutions currently use blogs, wikis, Linked In, Twitter, Facebook, and podcasts as learning tools. Social media has supported the growth of long-distance online learning.

5. The Effects of Social Media on the Workplace

The usage of social media in the recruitment and hiring process has had a big impact. For anyone attempting to build a reputation for themselves in their field, LinkedIn and other professional social media sites are essential. They enable users to develop and advertise their brand.

Nineteen percent of hiring managers rely on social media data to make their decisions. 70 percent of companies use social networking sites to explore job seekers, according to CareerBuilder's 2018 social media recruitment survey.

Social Media's Concerns

1. Privacy Issues

Some of the hazards that social media users face include stalking, identity theft, personal attacks, and data exploitation. The majority of the time, it is the users who are at blame, as they publish content that should not be made public. The misunderstanding stems from a lack of knowledge of how an internet profile's private and public sections work.

Unfortunately, it's usually too late by the time private stuff is removed. and the content has the potential to cause issues in people's personal and professional lives.

2. Cyberbullying

Teenagers strive to fit in, be popular, and outperform their peers. This was a difficult procedure even before the emergence of social media. When you add Facebook, Twitter, Snapchat, and Instagram to the mix, teenagers are now under pressure to grow up too quickly in an online world.

According to the Cyberbullying Institute's 2019 poll of US middle and high school students, more than 36% say they've been cyberbullied at least once in their lives, with 30% saying they've been victimized twice or more. It was also shown that over 15% acknowledged cyberbullying someone at least once, with nearly 11% confessing to doing so twice or more. Teenagers can use social media to spread falsehoods, upload films intended to harm others' reputations, and blackmail others.

3. It's easy to become addicted to social media.

When you're playing a game or doing a chore, you want to perform the best job possible. When you achieve, your brain releases dopamine and other pleasant hormones, making you feel good. When you upload a photo to Instagram or Facebook, the same logic is at work. You'll subconsciously register it as a reward once you see all the alerts for likes and good remarks crop up on your screen. But that's not all; social media is rife with mood-altering activities.

Conclusion: The Bottom Line

It is claimed that knowledge is power. People cannot harness the potential of information without a way of disseminating it. In today's society, social media has a good impact on information diffusion. Information can now be accessed at the touch of a button thanks to platforms like Facebook, Linked In, Twitter, and others.

According to research, a narrative published on the web has a 2.6-day life expectancy, compared to 3.2 days for a tale shared on social media. That's a 23 percent difference, which is considerable when you consider how many people use the internet regularly. The active lifespan of a social media post differs from the lifespan of an article. A Facebook post has an average duration of 6 hours, an Instagram or LinkedIn post of 48 hours, and a Twitter tweet has an average lifespan of 18 minutes.

The more time individuals spend actively accessing material on social media, the more debate it produces and the larger the social media impact. The shorter the active lifespan of a channel, the more frequently it must be updated to retain engagement (recognizing that posting too frequently can cause reader burnout). While the world would be a much slower place without social media, it has had both positive and negative consequences. The good influence of social media, on the other hand, is enormous and easily outweighs the drawbacks of sharing.

Finally, getting people to view and respond to content is the goal of sharing. It's always worthwhile for any company to use social media to maintain publishing as long as the content is still relevant and the need for information continues.

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Sep

What is Project Design in Project Management?

iCert Global Project Management 0 2021-09-14 1771

Introduction

The first step toward a successful project is to design it. A project design is a method of organising ideas, materials, and processes in order to achieve a specific goal. Project managers rely on smart design to avoid mistakes and offer parameters to keep key components of the project, such as the timeline and budget, on track.

Some people make the mistake of rushing through the basic stages of a project, such as a project design. Any seasoned project manager will tell you that the more effort you put into the front end of a project, the better the backend results will be.

Design projects aren't the same as other types of projects. Because design is such a subjective science, there will almost certainly be more adjustments and revisions than with other sorts of projects. It also necessitates the coordination of a variety of abilities and input sources. There's a real risk of having too many cooks spoil the broth - or, in design terms, having too many creatives ruin the mock-up.

So What actually is a Project Design?

One of the initial roles of the project manager is to design the project. Decisions about how to manage and govern the project are made at this stage. A project plan is developed, focusing on the needs of the stakeholders, the organisation, and, of course, the project itself. This document will thereafter be used to oversee the project's remaining stages.

The thinking that occurs during project design, on the other hand, is less concerned with minutiae and more concerned with project management. Project management software can aid in the organisation of both the high-level strategy and the finer points of a project's design. For example, ProjectManager includes Gantt charts for creating comprehensive timetables, as well as kanban boards for simple collaboration on the strategic side of project planning. In one easy-to-use project management software, you can manage your strategy, plan, schedule, execution, and reporting.

Everything from who is accountable for finishing the project to a description of the project, its aims, outcomes, and objectives is included in the project design. It specifies the dates on which these goals, outcomes, and objectives will be met, as well as the primary deliverables, products, or features that will be accomplished. The project design also includes a budget estimate and a plan for tracking and evaluating progress. Stakeholders may be offered multiple designs, from which they can select the one that best meets their demands.

The Project Design Structure

How can you create a product that fulfils its promise? It's a challenge! Project management, on the other hand, follows a set of procedures. There are processes to define projects and build a plan for implementation. They are the most crucial steps in a project's development. As a result, you should involve your team and stakeholders in the process to ensure that you've covered all of your bases. Following are the 9 steps to project design:

1. Vision

A vision statement that depicts a problem that has to be solved. This entails defining the project's purpose. The vision statement is a formal document that outlines the project's possibilities. It is provided to stakeholders to demonstrate the project's viability and benefits.

It isn't a lengthy, in-depth paper. You can have a brief, utopian vision for the project's outcome; after all, this is how you sell the project. As a result, construct a picture of the project's success and set it in context.

2. Foreseeing Possible Problem

You must first identify a problem that has to be solved in order to support that vision paper. As a result, a needs assessment is frequently required so that you can see the challenges that the company is facing. This will bring the problem you're working on into line with the organization's overall plan. It will also give you the information you need to come up with the best solution to the situation.

To begin, what data are you collecting? What sources do you have for such knowledge, and how will you go about gathering it? Next, examine and identify the issues that your project is intended to address. Organize your findings in a document.

3. Who and What Resources?

Recognize the resources required to complete the project. People, equipment, and facilities are all examples of resources needed to perform a project successfully. The same way journalists tackle news stories, using the Five W's: who, what, where, when, and why, is an excellent technique to figure out the resources. What resources are necessary to complete the project, what resource management tools are required, where will the work be completed, when will the project begin and end, and why are these resources required?

4. Goal of the Project

You won't be able to reach your objectives until you first identify them. A goal is something that can be seen and measured at the end of a project. A goal is the same as a solution to a problem.

Make a goal statement that explains how the project's objectives are met. Use the SMART method, which stands for specific, measurable, achievable, realistic, and time-relevant, to achieve this well. These terms should be used to define each goal.

5. Strategy of the Project

A strategy must be in place to achieve the project's objectives. A strategy is a method for achieving the project's objectives while staying within the project's restrictions, such as resources, schedule, and budget. How can a plan be developed to meet the project's objectives?

Consider precedent and look back on similar projects in the past to see what they may have revealed about the benefits and drawbacks of their chosen tactics. Best project management practises are always a sound foundation, and then incrementally create a plan, creating a route to success.

6. A Backup Plan

Few things go according to plan, as any project manager knows. There must be a backup plan in place to respond swiftly and correctly to concerns that develop throughout the course of a project. As a result, this must be considered when planning your project.

Keep an eye out for the project's unfavourable hazards. They are immersed in a variety of settings, including teams that may be lacking in skills, have unavoidable absences, turnover, and so on. Delays may wreak havoc on schedules. It's possible that the scope was not clearly established. Costs are understated, or funds become scarce. Make a plan to deal with these dangers.

7. Plan that Evaluates

A project must always be evaluated, according to the assessment plan. An evaluation plan will assist you in keeping track of the project and may even notify you if it begins to deviate from the original plan. Analyze the project's components, outcomes, and implications using this strategy.

Impacts are how well the project aims are being met, whereas outcomes are measurable changes. As a result, the evaluation plan is a detailed document that establishes criteria for determining the project's effectiveness and efficiency by tracking all areas of the project's progress.

8. Budget

This is where you must match the client's expectations with your team's capabilities (and let your team know how much the client has to spend). When a creative designer is given free rein over Procreate and no budget, things can quickly spiral out of hand.

The budget lays forth the financial resources needed to complete the project. Each of the project criteria will be assigned a cost in a budget. Creating a project budget entails formally allocating financial resources to the project. This starts with deciding on a method for estimating costs, identifying impacts, and reporting on the evaluation.

9. What is the scope of the project proposal?

All of this culminates in a project proposal that explains why the project should be carried out and what benefits it would provide. The previous steps are summarised by putting up the project's goal and a concise description of the issue it addresses. Then, identify the project's objectives and the method that will be employed to attain them.

Conclusion

The project management paradigm is a tangled web of contradictions. Every project that emerges from the project development process is distinct, with its own set of characteristics and issues, but they all have one thing in common: a Project Design.

Project design is such a crucial component of a project that it would be impossible for the project development process to stand on and succeed in the future without it. The majority of project managers in the business rush the design process, unaware that by failing to properly execute a project design phase, their project will be an unmitigated disaster with no possibility of recovery.

Any project's success depends on effective management. Things might quickly spiral out of control if you don't have a plan. Nobody wants to be the deer in the headlights when a client asks for "that paper you promised" that went lost in the midst of a mountain of other responsibilities. Design projects are particularly turbulent because they bring together a diverse group of people with various skills and qualifications.

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Sep

What is Data Science and Its Importance in 2021

iCert Global Other 0 2021-09-13 1463

What is Data Science and Its Importance in 2021

Introduction

Given the vast volumes of data created nowadays, data science is important and is a crucial aspect of any industry. Data science is currently one of the most hotly disputed subjects in the industry. Its popularity has expanded over time, and businesses have begun to use data science approaches to expand their operations and improve customer happiness.

This article will discuss the importance of Data Science in the year 2021 by defining Data Science, Why it is helpful, what is a Data Scientist, ways in which data science can add value to the business, Applications of Data Science and finally, Data Science as a Career.

What is Data Science?

Data science is a field of study that works with large amounts of facts and uses cutting-edge tools and techniques to uncover hidden patterns, extract useful data, and make business decisions. To create prediction models, data scientists use complicated machine learning algorithms. Data for analysis can come from a variety of sources and be in a variety of formats.

In other words, data science is important as it is the process of extracting knowledge from data collected through various approaches. As a data scientist, you take a difficult business problem, gather information, turn it into data, and then utilise that data to solve it.

Why is Data Science Helpful?

Any organization's data is a valuable asset. It assists businesses in better understanding and improving their processes, resulting in time and cost savings. Waste of time and money, such as a poor advertising decision, depletes resources and has a negative influence on a company. Businesses can reduce waste by examining the success of various marketing channels and focusing on those that provide the best return on investment. As a result, a business can produce more leads without spending more money on advertising.

Data is pointless until it is transformed into useful information. Mining massive datasets containing structured and unstructured data and uncovering hidden patterns to derive relevant insights is what Data Science is all about. The value of Data Science can be seen in its numerous applications, which vary from simple tasks like asking Siri or Alexa for recommendations to more complicated ones like piloting a self-driving car. Better decision-making, predictive analysis, and pattern finding are all aided by data science or data-driven science. It's beneficial because:

By asking the appropriate questions, you can determine the root cause of an issue.
Conduct an exploratory analysis of the data.
Various algorithms are used to model the data.
Graphs, dashboards, and other visual aids can be used to communicate and visualise the results.

In practice, data science is already assisting the airline sector in predicting flight interruptions to help both airlines and customers avoid misery. Airlines may improve their operations in a variety of ways with the help of data science, including:

Plan your itineraries and decide whether to fly direct or connect.
To predict flight delays, create predictive analytics algorithms.
Provide clients with customised promotional offers depending on their booking patterns.
Choose which plane class to buy for better overall performance.

Data science is important in every aspect of digital as well as offline recurring data methods. Its existence has solved major flaws in human society and continues to do so.

Data Science Prerequisites

Here are some technical terms you should be familiar with before diving into the world of data science.

1. Machine Learning

The backbone of data science is machine learning. Data scientists must have a strong understanding of machine learning (ML) as well as a fundamental understanding of statistics.

2. Statistics

The foundation of data science is statistics. With a firm grasp of statistics, you can extract more intelligence and produce more relevant results.

3. Modelling

Based on what you already know about the data, mathematical models allow you to make quick calculations and predictions. Modelling is another aspect of machine learning, and it entails determining which algorithm is best for solving a specific problem and how to train these models.

4. Databases

You must grasp how databases function, how to maintain them, and how to extract data from them in order to be a competent data scientist.

5. Programming

A successful data science project necessitates some level of programming. Python and R are the most widely used programming languages. Python is particularly popular because it is simple to learn and supports a variety of data science and machine learning libraries.

What is a Data Scientist?

Data scientists are particularly interested in fraud, particularly online fraud. Data scientists use their abilities to design algorithms to detect and prevent fraud. Data scientists are employed in a wide range of fields. Each is critical to problem-solving and necessitates specialised knowledge. Data capture, preparation, mining and modelling, and model maintenance are among these fields. Data scientists take raw data and convert it into a wealth of knowledge using machine learning algorithms to provide answers to questions posed by businesses.

A data scientist examines corporate data in order to derive actionable insights. To put it another way, a data scientist solves business challenges by following a set of procedures, which include:

Obtain data from a variety of sources, including company data, public data, and so on.
Process raw data and turn it into an analysis-ready format.
Feed the data into the analytic system, which could be a machine learning algorithm or a statistical model.
Prepare the findings and conclusions to be shared with the relevant parties.

Five Ways Data Science can Add value to Businesses in 2021

1. Providing management and officers with the tools they need to make better decisions.

By ensuring that the staff's analytics capabilities are maximised, an experienced data scientist is likely to be a valued advisor and strategic partner to the organization's higher management. Through measuring, tracking, and documenting performance metrics and other information, a data scientist conveys and illustrates the value of the institution's data to support improved decision-making processes across the entire company.

2. Trends are used to guide actions, which in turn aid in the definition of goals.

A data scientist evaluates and explores an organization's data before recommending and prescribing specific measures that would help the institution enhance its performance, better engage customers, and increase profitability.

3. Encouraging Employees to Adopt Best Practices and Concentrate on Critical Issues

One of a data scientist's responsibilities is to guarantee that the company's analytics product is well-known and understood by its employees. They set the team up for success by demonstrating how to use the system effectively to extract insights and drive action. After the team has a good understanding of the product's capabilities, they may work on solving significant business problems.

4. Locating Possibilities

Incorporating data science evaluates existing procedures and assumptions while interacting with the organization's present analytics system in order to build new methodologies and analytical algorithms. Data science improves the value obtained from the organization's data on a continuous basis.

5. Target Audiences: Identifying and Refining

Most businesses will collect consumer data from a variety of sources, including Google Analytics and customer surveys. However, data is useless if it isn't used properly, such as to identify demographics. The value of data science is predicated on the capacity to connect existing data that isn't always relevant on its own with other data points to develop insights that a company can use to learn more about its customers and audience.

A data scientist can assist in the precise identification of significant groups through a thorough investigation of diverse data sources. Organizations may personalise services and goods to specific consumer groups and increase profit margins with this in-depth knowledge.

Lifecycle of Data Science projects

A full overview of the stages involved in a data science project's lifetime can be found in the following:

Study of the Concept

The idea research is the first step in every data science project. The purpose of this step is to figure out what's wrong by looking at the business model. Let's imagine you're attempting to forecast the price of a 1.35-carat diamond. In this situation, you must first learn the industry's vocabulary as well as the business challenge, and then gather enough relevant data about the industry.

Preparation of Data

Data preparation is the most important part of the data science lifecycle because raw data may not be usable. A data scientist must first look over the data to see if there are any gaps or data that isn't useful. Several steps must be completed during this procedure, including:

Integration of data: Remove any redundancy from the dataset by resolving any conflicts.
Transformation of data: ETL (extract, transform, load) procedures can be used to normalise, transform, and aggregate data.
Reduction of data: Reduce the size of data without sacrificing quality or outcome by employing a variety of tactics.
Cleaning of data: Fill in missing numbers and smooth out noisy data to fix inconsistencies.

Model Preparation

After you've cleaned up the data, you'll need to pick a model that fits your needs. Is it a regression problem or a classification problem? The model you choose must reflect the nature of the problem. Exploratory Data Examination (EDA) is also used in this step to give a more in-depth analysis of the data and to better understand the link between the variables. Histograms, box plots, trend analysis, and other EDA techniques are employed.

Model Construction

Building the model is the next step in the lifecycle. You can alter the data with various analytical tools and approaches in order to ‘discover' important information.

Communication

The next stage is to obtain the study's major findings and communicate them to the stakeholders. A good scientist should be able to explain his findings to a business audience, outlining the processes required to solve the problem in detail.

Operationalize

They are launched once all parties have agreed to the findings. Stakeholders also receive final reports, code, and technical papers during this phase.

Applications of Data Science

Data science is now being used in practically every business such as:

Gaming

Data science is currently being used to build video and computer games, which has elevated the gaming experience to new heights.

Recognition of images

One of the most prominent data science applications is detecting objects in photos and identifying patterns in them.

Healthcare

Data science is being used by healthcare companies to develop advanced medical tools that can identify and cure ailments.

Systems of Recommendation

Netflix and Amazon make movie and product suggestions based on your viewing, purchasing, and browsing habits on their platforms.

Logistics

Organisations employ data science to optimise routes in order to assure faster product delivery and increase operational efficiency.

Detection of Fraud

Data science and related algorithms are used by banking and financial institutions to detect fraudulent activities.

Data Science as a Profession

Data science and associated disciplines have seen a large increase in job openings over the previous five years. According to the 2021 forecast, the number one job in the United States is data scientist. Data Scientist, Machine Learning Engineer, Data Consultant, Data Analyst, and others are some of the significant career roles.

Conclusion

Data is essential for any company because it allows them to make decisions based on trends, statistics, and facts. Because of the importance of data, data science is important as it has evolved into a multi-disciplinary profession. To extract insight from a large amount of data, it employs scientific methodologies, frameworks, algorithms, and procedures. Data science is the backbone of any enterprise these days, and current trends indicate that it will become much more important.

In the future decade, data will be the oil for businesses. Companies may now estimate future growth and assess potential dangers by incorporating data science techniques into their operations. Any company that can effectively use its data can benefit from data science. Data science is valuable to any organization in any industry, from statistics and insights throughout workflows and hiring new applicants to assist senior employees in making better-informed decisions.

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Sep

10 Real World Examples of IoT Applications

iCert Global Other 0 2021-09-13 7255

Introduction

The Internet of Things (IoT) is no longer a mystery fad. It's a technology that has quietly gained traction and is now altering our future invisibly. The Internet of Things is the outcome of humanity's curiosity and desire to live a more convenient and connected lifestyle, which reduces work and eliminates the possibility of human error. That is why devices have evolved to take care of tasks that require efficiency. Humanity has realized that data is the new money, and that data can be used to address and fix a wide range of important issues, which is what drives the Internet of Things notion.

IoT is a technology agency that affects several industries. In addition, for IoT experts, a bright future is shining on the horizon.

Engineers enabled the gadgets to collect and share data and make accurate and educated judgments using Machine Learning and Neural Networks by connecting them and the internet (complex mechanisms). This step has yielded excellent results. As you read this, billions of linked devices are collecting billions of petabytes of data every day all around the world. These vast data sets contain critical pieces of information that can help with home security, entertainment, and even water conservation and fuel emission management.

Here is the list of Top 10 Real World Examples of IoT Applications are:

1. Houses with Smart Technology

2. Autonomous Vehicles

3. City of the Future

4. Shops that sell IoT products

5. Wearables

6. Farming

7. Smart Grids

8. Internet of Things in Industry

9. Telehealth

10. Supply-chain Management with Intelligence

Top 10 Applications of IoT

1. Houses with Smart Technology

Smart homes are one of the best and most practical IoT applications because they take both convenience and home security to the next level. Though IoT can be used at several levels for smart homes, the finest is the one that combines intelligent utility systems and entertainment. Your electricity meter with an IoT device that gives you insights into your daily water usage, your set-top box that allows you to record shows from a distance, Automatic Illumination Systems, Advanced Locking Systems, and Connected Surveillance Systems are all examples of smart homes. As the Internet of Things progresses, we can expect most gadgets to become smarter, allowing for improved home security.

2. Autonomous Vehicles

There has been a lot of talk about self-driving automobiles. Google experimented with it, as did Tesla, and Uber even developed a self-driving car that was ultimately shelved. Because we're dealing with human lives on the roadways, we need to make sure that the technology has all it needs to improve passenger and road safety.

Automobiles use a variety of sensors and embedded technologies that are connected to the Cloud and the internet to continuously generate data and send it to the Cloud for Machine Learning-based decision-making. Though it will take a few more years for the technology to mature fully and governments to adjust their laws and policies, we are currently experiencing one of the best IoT applications.

3. City of the Future

Smart cities are expected to be made up of not just internet connection for people in a city, but also access to the city's devices. And we can happily report that we're on our way to making this idea a reality. Efforts are being made to integrate linked technology into infrastructural requirements as well as certain critical concerns such as traffic management, waste management, water distribution, and electricity management, among others.

All of these things help to alleviate some of the problems that people experience daily while also adding convenience.

4. Shops that sell IoT products

You should see the video of Amazon Go — the eCommerce giant's concept store – right away if you haven't already. Perhaps the best application of technology for bridging the gap between an online store and a physical store is this. By deducting money from your Amazon Wallet, the retail outlet allows you to go cashless. When you select items from the shelves, it also adds them to your cart in real-time.

If you change your mind and choose another item, the prior one is removed from your cart and replaced with the new one. The concept store's best feature is that there is no cashier to bill your purchases. You don't have to wait in line; simply walk out after picking up your items from the shelves. If this technology proves to be beneficial in attracting more customers, it will undoubtedly become the norm in the coming years.

5. Wearables

IoT wearables are reshaping the way we receive healthcare and providing innovative insights and analytics for business sponsors, physicians, and patients. Data from IoT devices can help healthcare, pharmaceutical, and life science companies make better decisions and gain a competitive advantage.

Even now, wearables are a popular topic in the market. These gadgets are used for a variety of applications, including medical, health, and exercise. Jawbone, a wearables company, is the most well-funded of all the IoT businesses.

6. Farming

One of the industries that will benefit the most from the Internet of Things is agriculture. With so many advancements being made in agricultural gear, the future looks bright. Drip irrigation, crop patterns, water distribution, drones for farm surveillance, and other tools are being developed. These will enable farmers to produce a higher-yielding crop and better address their concerns.

On the farm, the Internet of Things allows devices to remotely measure various data and provide this information to farmers in real-time. IoT devices can collect information such as soil moisture, chemical applications, dam water levels, and livestock health, and monitor fenced vehicles and weather.

7. Smart Grids

Smart grids are part of the IoT framework and can be used to remotely monitor and manage everything from lighting, traffic signs, traffic jams, parking spaces, road warnings, and early event detection. such as the inrush of energy caused by earthquakes and extreme weather conditions.

A smart grid, for example, is a holistic system that employs a wide range of Information Technology resources to enable current and new gridlines to reduce electricity waste and costs. Electricity efficiency, reliability, and economics will all benefit from a future smart grid.

8. Internet of Things in Industry

The Industrial Internet of Things is made up of interconnected sensors, instruments, and other devices that are linked to industrial computer applications such as production, energy management, and so on. While the industrial internet is currently unpopular in comparison to IoT wearables and other uses, market research firms such as Gartner, Cisco, and others feel it has the greatest overall potential.

The IoT supports technologies such as cybersecurity, cloud computing, edge computing, mobile technology, machine-to-machine, 3D printing, advanced robotics, big data, the Internet of Things, RFID technology, and cognitive computing.

9. Telehealth

Telehealth, often known as telemedicine, is still in its infancy. Nonetheless, it has a bright future ahead of it. IoT Telemedicine includes digital medical imaging communication, remote medical diagnosis and evaluations, video consultations with specialists, and so on. The Internet of Things can promote various medical applications, such as remote health monitoring, body conditioning programs, rehabilitation, chronic diseases, and elderly care (Adibi, 2015). Compliance with remote monitoring of treatments and medications at home is an important potential for telemedicine applications.

10. Supply-chain Management with Intelligence

Supply chains have been around for a long time in the market. Solutions for tracking things while they're on the move are excellent examples. They are certain to stay in the market for a long time, thanks to IoT technology.

Intelligent supply chain management requires the implementation and use of modern technology to optimize all aspects of the supply chain. With the help of smart supply chains, companies can save costs, earn more revenue, speed up customer contact, and stay ahead of the competition.

How close is IoT to the Real World?

IoT is constantly changing, and it is being tested and used in more ways than you might think. Smart Breweries, Smart Coffee Machines, Smart Parking Facilities, Smart Supply-chain Mechanisms, and other IoT examples are just a few.

The breadth of the Internet of Things, according to Fortune Business Insights, the worldwide Internet of Things market was valued at US$250.72 billion in 2019 and is expected to reach US$1,463.19 billion by 2027, growing at a 24.9 percent compound annual growth rate (CAGR).

Conclusion

In just one year, the number of internet-connected gadgets has increased from 5 million to billions. According to Business Insider Intelligence, 24 billion IoT devices will be installed by 2021, generating over $300 billion in income.

The Internet of Things iterates, improves and expands. Its networks aren't pre-assembled; instead, they develop throughout time. To create a smarter society, the Internet of Things (IoT) has connected hardware and software to the internet. It has been rapidly expanding and provides a plethora of options for both government and business. Indeed, the number of job postings for IoT experts has reached an all-time high.

As a result, now is the greatest time to start investigating this technology's true potential. Because the Internet of Things (IoT) is here!

The Internet of Things is a concept that connects the virtual world of information technology to the real world. IoT technologies such as RFID and sensors make our lives better and more comfortable.

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