Introduction
There are only 2 possible outcomes for every serious participant in a data science competition – you either win it or you learn from it! Nothing beats the time bound competition to achieve the best with whatever you have or know!
We have conducted multiple hackathons (Hackathon 1, Hackathon 2) in an attempt to develop data science community in last couple of months. We found that a lot of people have unreasonable inhibitions stopping them from participating in these competitions. It is difficult to explain them that starting is more important than winning or doing well in a competition!
One of the consistent feedback we receive from a lot of aspiring data scientists is that there is no structured path to help them understand where to start in these competitions. Hence, we thought of creating an infographic, which addresses this problem directly. (Aspiring) Data Scientists can take a print on this and keep this in front of their eyes. We sincerely hope that this infographic will help us bring more and more people in the ecosystem. It provides a list of competitions and a few common hacks to get started in these competitions.
If you need any more help in getting started with these data science competitions, feel free to pen in your comments below or ask the wider community.
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Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.
