Do your thoughts fall under any of the following categories? If so, you've come to the right place. This article will assist you in taking your next step in data science and advancing your career.
I'm Perplexed — Where Should I Begin My Data Science Career?
How do I dive into Data Science and Machine Learning as a Working Professional after many years of working in a different domain and quickly learn things?
As a student with no prior experience with projects or challenges, how do I approach Hackathons and develop my own projects and applications?
and many others... What should I do first and how should I proceed?
You've come to learn and apply your skills as soon as possible. This article is a great starting point for anyone interested in pursuing a career in data science.
Three things to keep in mind as you begin
- Always continue to learn, experiment with great consistency and trust your intuition and your domain knowledge and business acumen will grow over time.
- Remember that the only way to apply machine learning and data science concepts is to get your hands dirty and start practising right away after learning the theory.
- Examine the blogs and bootcamps listed below to determine your area of interest and the skills required. This will assist you in deciding which Hackathon site to attend.
Once you've mastered all three critical points, let's move on to competitions or hackathons. The Data Science Challenge is more than just applying Machine Learning algorithms; it is an incredible opportunity to learn, understand and implement solutions to specific problems that provide immense satisfaction. Meanwhile, real-world problems are not always the same as those presented in competitions, but these platforms allow you to apply your knowledge to processes and see how you compare to others.
The Benefits of Entering Data Science Competitions
Participating in these competitions gives you a lot to gain and almost nothing to lose. Participating in Hackathons provides numerous benefits, including:
- Incredible learning and collaboration opportunities. Networking with like-minded individuals will be extremely beneficial. Working in groups is even better because it allows you to consider a problem from various angles and approach it collaboratively.
- Using and experimenting with a wide range of cutting-edge approaches and datasets.
- By showcasing your passion and skills to the world, you may end up meeting great contact and landing an awesome job.
- It's always entertaining to play and see how you rank on the scoreboard. During the publication of those Leaderboards where our Rankings are disclosed, that adrenaline rush is real.
- If we win, the prize money is always a plus, but it shouldn't be our primary motivation to compete. Learning to utilise our skills is our objective and focus.
Top 16 Awesome Machine Learning Hackathons (Competitive Platforms for Data Science)
1. Kaggle (Level: Beginner, Intermediate & Advanced)
Featuring over 10,00,000 registered users, Kaggle is the world's largest data science community platform for data science contests, with both novice and expert users. It's a Google-owned crowdsourcing platform that attracts, nurtures, trains and challenges data scientists from all over the world to tackle data science, machine learning and predictive analytics problems. Data scientists and other developers can use Kaggle to store datasets, compete in machine learning competitions and write and share code in Python, R and R Markdown. On Kaggle, over 150K "kernels" / programmes encompassing everything from sentiment analysis to object detection have been shared.
2. Analytics Vidhya's DataHack (Level: Beginner and Intermediate)
Analytics Vidhya is a leading data science community and knowledge portal in the world. Analytics Vidhya hackathons are a fantastic chance for anyone interested in honing their digital abilities in areas such as artificial intelligence, machine learning, natural language processing, deep learning, business analytics, data science, big data, data visualisation and more. Data Science Blogathon was held for seven editions (with more to come in the future) to assist budding writers and data science enthusiasts in showcasing their talent and passion for writing Technical Blogs and developing a Data Science Portfolio. My personal favourite is Analytics Vidhya, which hosts both Hackathons and Blogathons. It has two intriguing parts to study and use your skills: Free Courses and Blog. Beginners can benefit greatly from the information provided in the preceding sections.
3. Zindi (Level : Intermediate)
Zindi is Africa's first data science competition platform, with the goal of providing world-class machine learning and AI solutions to organisations and governments through a talented community of data scientists, scientists, engineers, academics, companies, NGOs, governments and institutions focused on solving Africa's most pressing problems. Interesting Real-world challenges include the "Lacuna — Correct Field Detection Challenge" (to build a way to properly locate field sites) and the "AutoInland Vehicle Insurance Claim Challenge" (to design a method to accurately locate field locations). Predicting whether a client will file a vehicle insurance claim in the following three months is hosted in Zindi, which gives high prize money, while other Zindi competitions offer Zindi points to contribute to the Global Zindi Rankings, where users are representing their country.
4. Hacking a Machine (Level: Beginner and Intermediate)
MachineHack is an online platform for Machine Learning competitions created by Analytics India Magazine, a media outlet dedicated to growing and promoting India's data and analytics community. They host business situations for which participants can use Machine Learning to find solutions.
5. DrivenData (Level: Beginner, Intermediate & Advanced)
DrivenData sponsors data science challenges to help enterprises tackle the world's most difficult problems by bringing cutting-edge predictive models to them. They apply cutting-edge data science and crowdsourcing approaches to some of the world's most pressing social issues at DrivenData. They conduct 2- to 3-month-long online challenges in which a global community of data scientists competes to develop the best statistical and machine learning models for difficult predicting issues that matter.
6. XEEK.ai is an artificial intelligence platform (Level: Beginner and Intermediate)
Xeek.ai challenges bring together the Data and Geoscience communities — including prominent data scientists, developers, geoscientists and machine learning experts — with the common objective of crowdsourcing new solutions to energy's most pressing problems.
7. Bitgrit is a type of grit that is (Level: Intermediate)
Bitgrit is an AI competition, recruiting and networking platform for data scientists founded in Tokyo in 2017. They challenge their prestigious data scientist community to build innovative data-driven solutions to maximise AI and better integrate it in today's society across industries. It is home to a worldwide community of over 25,000 engineers.
8. The AI Crowd (Level: Intermediate)
Data science experts and enthusiasts (Crowdsourcing AI) can use AI Crowd to tackle real-world challenges. The "ADDI Alzheimer's Detection Challenge" and the "Airborne Object Tracking Challenge'' are two real-life challenges that AI Crowd has hosted.
9. Unearthed (Level: Intermediate, Advanced)
Unearthed is the world's largest community of companies, developers and data scientists working to improve the efficiency and sustainability of the energy and resources business. The "Hydrogen Hypothesis" is the most recent and intriguing challenge, which requires people to suggest an experiment that establishes a use case for the safe and effective usage of hydrogen in mining. Docker will be used to submit solutions to this platform. Every user has access to incredible Industry use-cases.
10. CodaLab (Level: Advanced)
CodaLab is a web-based open-source platform that allows researchers, developers and data scientists to interact in order to advance study disciplines that involve machine learning and advanced computation.
11. DataCrunch (Level: Intermediate)
DataCrunch is a group of 42 students from ESSEC Paris and a former finance instructor who wants to disrupt the hedge fund industry by creating the first hedge fund controlled and owned by a community of data scientists! The DataCrunch community improves the Fund's predictions and participants are rewarded with either equity tokens (direct ownership in the Fund) or cash (200 euros for weekly challenge winners), as they choose.
12. CrowdAnalytix (Level: Intermediate, Advanced)
CrowdANALYTIX is an Artificial Intelligence platform for retailers, distributors and manufacturers that provides the tools and access to a large network of data scientists needed to create enterprise-grade custom solutions that are installed on a secure, scalable server and integrated via APIs. Interviews, reviews, use cases and reference materials are among the many resources available on the platform's Community Blog.
13. Tianchi (Level: Intermediate & Advanced)
Big Data Competitions are held by Tianchi (by Alibaba Cloud, China) for the application of big data and distributed computing resources, as well as cutting-edge solutions for real-world applications. Big data, AI Ops, Machine Learning, Artificial Intelligence, Deep Learning, Object Detection and many other fields are frequently covered by the difficulties, which span several domains.
14. Signate Japan (Level: Intermediate)
SIGNATE is the only platform in Japan that uses Data Science competitions to empower AI/Data Analytics talent to address business problems faced by businesses and governments. Aside from the competitions, there are useful resources such as the Learning site.
15. Devfolio (Level: Intermediate)
Devfolio's objective is to assist in the development of a thriving community of makers. InOut hosts India's largest community hackathon, wmn hosts India's largest women-only hackathon and ETHIndia holds India's largest Ethereum hackathon. Devfolio has assisted organisers in hosting over 100 hackathons throughout the world, including Blockchain and Fintech competitions.
16. InnoCentive (Level: Intermediate, Advanced)
InnoCentive is the world's first crowdsourcing innovation platform. They use technology, research, business, AI and data to assist innovative enterprises in solving major Life science problems. Problem solvers help to solve some of the world's most serious issues, from easing household access to clean water to passive solar systems that attract and kill malaria-carrying mosquitos.
Benefits of doing a Project Management Certification
1. Enhances the resume's worth - Throughout your career, you might seek a variety of professional qualifications. But, of all of them, the Project Management Certification is the most valuable. Interviewers looking to fill a project manager role are aware of this. As a result, they prefer profiles that have Project Management Certification over those that do not. Jobs in project management are in high demand.
As a result, in most circumstances, multiple persons apply for these positions. Interviewing and evaluating the potential of all applicants takes time and resources for the company. As a result, they like to screen out as many people as possible prior to conducting project management interviews. Furthermore, many companies are making the Project Management Certification mandatory. It means you won't be able to apply for various jobs unless you have these credentials.
If you want to grow in your current company, the Project Management Certification can be quite beneficial. It puts you miles ahead of your peers in terms of job advancement. A certified manager can also perform significantly better in a gruelling project management interview than a non-qualified manager.
2. Recognized by the industry - Project Management Certification is a globally recognised credential. Many certification programmes are narrowly focused on a single area or region. Project management, on the other hand, is a global certification that may be used in any business and in any location. So, regardless of your professional background or industry, adding the certification to your resume can help you advance.
What is the market value of a Project Management Certification? Data shows that as a company's number of certified project managers grows, so does the success rate of its projects. Companies also realise that qualified managers are more likely to complete projects on time and on budget.
3. Assists you in mastering crucial skills - On the employment market, there are numerous project managers to choose from. How do you stand out from the crowd in such a situation? What better way to go about it than by earning your Project Management Certification? It improves the appeal of your CV to employers. More importantly, PMBOK certification teaches you critical abilities that will help you advance in your job.
The Project Management Certification has strict requirements. As a result, passing this exam without substantial preparation is difficult. It also necessitates that you master the material's practical application. Obtaining the Project management credential will necessitate the acquisition of a number of hard and soft skills. It improves your understanding of basic project management procedures, tools, strategies and approaches.
4. Contributes to an increase in income - The most appealing aspect of Project Management Certification is the potential for project managers to earn a greater income. The average remuneration of certified project managers is significantly greater than the industry average. According to a recent PMI survey, the average median income for a certified project manager is $108,000. A non-certified project manager, on the other hand, earns only $91,000 on average.
According to another study, certified project managers make about 20% more than non-certified counterparts. This tendency can be found all across the world, even in Middle Eastern countries like Saudi Arabia and the UAE. Project management certified individuals earn significantly more than female certified professionals in other industries.
5. Provides opportunity for networking - Around 773,840 Project Management Certification holders are now active around the world, according to PMI. When you join the PMI, you become a member of the club. PMI holds meetings for members in major cities throughout the world on a regular basis. These gatherings are also held to assist participants in obtaining Professional Development Units (PDUs). Continuous Credential Requirements, or CCRs, necessitate the use of these units. These are required to maintain the certification for the next three years.
There are numerous advantages to participating in such networking events. During these sessions, anyone interested in this certification can learn about any new work prospects that are shared by those who value it.
At PMI meetings, there is a designated time for job postings. Project managers can also communicate with each other in various online and offline communities. Professional networks can be formed through these communities. This certification also qualifies a person to mentor other PMI Project management candidates.
6. It demonstrates your commitment to the job. - As previously stated, some requirements must be satisfied in order to obtain Project Management Certification. To be eligible as an associate, you must have 60 months of experience. A bachelor's degree, on the other hand, necessitates 36 months of professional experience. The Project Management Certification has strict requirements. A potential employer recognises that passing the exam necessitates commitment to the job. It shows that you are committed to pursuing project management as a long-term professional goal.
An employee who invests in his or her education is a valuable asset to the organisation. Your desire to improve your professional abilities, credentials and knowledge is symbolised by a Project Management Certification. It also aids in commanding respect from colleagues and team members.
Concluding Thoughts
You now may have a better understanding of what each Hackathon platform has to offer, as well as learning tools to help you improve your skills. Machine learning hackathons are a fun way to improve one's skills, find answers to challenging issues, add a few highlights to one's résumé, and sometimes gain money.
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