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How to Win a Data Science Competition: Learn from Top Kagglers

If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few. At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science.

Created by National Research University Higher School of Economics


What you’ll learn

From this learning opportunity you may gain confidence with the compentencies sought by companies in 2021. The most relevant technique within the educational opportunity that is often mentioned from organizations is Data Analysis. The most in demand tool is Python.

Who will benefit?

Comparing material from this educational resource with nearly 10,000 data-related job maps, we discover that those in or pursuing Data Scientist roles would benefit the most.