Data Science Competitions & Learning Resources

Here is a list of competition platforms that allow organizations such as start-ups and research institutions, to create competitions:

• Kaggle - “home of data science”

• DrivenData hosts online data science competitions where the data and problem are posed by a socially-minded organization. It maintains a number of popular open-source projects for the data science community, and has shared the prize-winning solutions from past competitions openly on GitHub for anyone to learn and build from.

• AIcrowd enables data science experts and enthusiasts to collaboratively solve real-world problems, through challenges.

• DataCamp organizes data science competitions to help test your knowledge and get hands-on data science experience without setting up a data tool.

• Maven Analytics hosts a public challenge every month to showcase work from data professionals around the world. 

• IronViz is an annual data visualization competition. What began as a breakout session at Tableau Conference 2011 has grown into a global phenomenon and become a core part of the Tableau Community. Three Iron Viz contenders take center stage and have 20 minutes to tell the most compelling story using the same data set. Like the qualifier leading up to it, contestants’ vizzes are scored based on analysis, storytelling, and design. 

• Information is Beautiful Awards were set up in 2012 by David McCandless, journalist and datavisualizer of Information is Beautiful, in collaboration with Aziz Cami, the then Creative Director at Kantar. The Awards are judged by a panel of experts & a public vote in the areas of data visualization, infographics, interactives & information art. The awards went on hiatus for 2020 and 2021 due to the global pandemic and have been relaunched in 2022 under the leadership of the Data Visualization Society.

The following are not competitive but good learning resources:

◦ Tableau Community Projects are driven by members of the Tableau Community  who create and lead projects that give you the opportunity to learn, practice, and apply your data skills across a variety of topics, products, and causes.

◦ Dataquest has structured courses included in its Career and Skill Paths that have Projects that can aid in building hands-on experience.

◦ DataIsBeautiful is a subreddit for visualizations that effectively convey information. 

Also see: 

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