Top Data Science Competitions to watch out for in 2022

Are you a data scientist who wishes to solve real-world data science issues with your data science skills? An organization might find it hard to solve critical data science issues when the data science team is involved in working on other projects. Data science competition platforms like Kaggle and Codalab are emerging, and can highly benefit the data scientists under this condition. Data science competitions help organizations to solve intricate business concerns, while for data scientists, this is an opportunity to learn with their experience and win recognitions or awards.

This article focuses on discussing in detail the data science competitions and the various leading data science competitions to watch out for in 2022.

What are Data Science Competitions?

Data science competitions are the series of data science challenges put forward by organizations, meant to solve complex business issues and give opportunities to data scientists to find the top solutions based on them.

Let's be more specific. Organizations define their problem, provide the relevant data, and fix a prize or reward based on the challenge. The data scientists who compete will develop and present various data science algorithms to be tagged as the winner.

Data science competition platforms can benefit data science enthusiasts to solve business problems by taking up the challenges. The crowdsourced data scientists join the competition and provide the ideal solutions. Organizations test them and the best performing solutions are identified based on how they work on the test data, and finally reward the deserved data scientists.

Even for organizations, data competitions are advantageous. The average salary of a full-time data science professional in the US is about 120,000 USD. With data science competition platforms, businesses can depend on the wisdom of the crowdsourced data scientists affordably, instead of having to employ many data scientists.

Why are Data Science Competitions important?

Undoubtedly, participating in data science competitions has a lot of advantages for you as an aspiring data scientist or experienced data science professional. Here are the reasons why they play a crucial role in your data science career.

● You can test your data science skills against the top talent

● Gain exposure by learning while doing

● Earn an additional income by doing what you love to do the best

● Add value to your portfolio and earn potential employers

● Can apply for the best data science job opportunities

● Collaboration and networking with like-minded people

● Can be a lead towards the hiring efforts of companies, and stage to prove yourself so that you might get hired.

● You can gain a competitive edge with an innovative approach to complex business issues.

● Build self-confidence in your data science skills and knowledge.

Top Data Science Competitions 2022

Various Data Science Competitions that data science professionals can participate in are:

● Kaggle

This online community has over 100,000 registered users, both experts, and newbies. More than 1000 people join Kaggle every day, which is an astonishing figure. Being a well-known platform that offers high-end Data science competitions, Kaggle makes use of both public and private competitions along with the on-demand consulting solutions from a global talent pool of data science developers.

Kaggle is popular for helping users to work with the public API, where they can seamlessly reach over 200,000 public notebooks, and 19,000 public datasets to effectively solve real-world business issues. These issues are spread across a spectrum of industries like finance, IT, energy, pharmaceuticals, retail, and so on.

● Codalab

Codalab is an open-source data science competition web-based platform that helps developers, researchers, and various data scientists to collaborate and advance the research fields using machine learning and advanced computation techniques. Codalab can help you solve the issues related to data-oriented research with an online community, where people can participate in competitions and share the worksheets.

You can enroll in an existing competition hosted by the companies. Codalab competitions don't have huge cash prizes, however, they still provide opportunities for participants to learn more regarding data science and develop efficient code.

The competition offers great learning opportunities and focuses on code building or programming aspects in the competitions. The popular competitions include Microsoft COCO Image captioning challenge, Liver Tumor Segmentation Challenge, MAFAT Radar Challenge, and so on. MAFAT Radar Challenge offers high rewards of around 40,000 USD reward!

● AIcrowd

This platform runs Artificial Intelligence, Machine learning, and data science-related challenges while helping universities, businesses, NGOs, or government agencies to overcome those challenges. This platform helps data scientists and data science enthusiasts to collaborate and find accurate solutions.

● Bitgrit

This platform ensures that the data scientists can interact utilizing the global network and solve the company's issues using crowdsourcing. Bitgrit also deals with data visualizations, AI consulting, and other services.

● CrowdANALYTIX

The platform provides cloud crowdsourced data analytics services which transform the business issues into analytics solutions that need predictive analytics, business hypothesis evaluation, estimations, and descriptive analytics. The community works with simulated data, public data, and data security.

● DrivenData

This competition platform focuses on the social challenges of mission-specific firms that can impact the world. For instance, the competitions to predict the damage caused by earthquakes, prediction of failure to water pumps, access to clean water, prediction of contents that can violate the Facebook policies.

● InnoCentive

This innovation management competition platform kinks public service agencies, non-profit firms, commercial enterprises, etc. with over 2000 data science competitions for core organizations like GSK, DARPA, NASA, Ford Motors, Anheuser-Busch InBev, etc.

Conclusion

A data science career demands real-world experience in data science. When you compete, you explore the best ways to gain experience. With enhanced knowledge, you can build a competitive portfolio and win exciting prizes, sometimes, even get hired.

However, to win the data science competitions, you must make sure that your data science skills are excellent and updated. To ensure that you have the right data science skill set, you can depend on the data science certifications. Reliable data science certifications from institutions such as Stanford, MIT, USDSI, Georgia Tech, North Carolina, etc., can let you expand your skills and help you crack the data science competitions effortlessly.