# Tips for data science competitions

**URL:** <https://datachallenge.cfm.fr/t/tips-for-data-science-competitions/73>\
**Category:** Modeling\
**Created:** [April 5, 2018, 6:28pm UTC](https://datachallenge.cfm.fr/t/tips-for-data-science-competitions/73 "2018-04-05T18:28:49Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![lebigot](https://yyz1.discourse-cdn.com/flex029/user_avatar/datachallenge.cfm.fr/lebigot/32/10_2.png) [@lebigot](https://datachallenge.cfm.fr/u/lebigot)\
**Post date:** [April 5, 2018, 6:28pm UTC](https://datachallenge.cfm.fr/t/tips-for-data-science-competitions/73/1 "2018-04-05T18:28:49Z")

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There is an interesting online course with top Kaggle competitors, that you might want to check in order to hone your data science competition skills:

> **[How to Win a Data Science Competition: Learn from Top Kagglers | Coursera](https://www.coursera.org/learn/competitive-data-science)**
>
> How to Win a Data Science Competition: Learn from Top Kagglers from National Research University Higher School of Economics. If you want to break into competitive data science, then this course is for you! Participating in predictive modelling ...

Those who speak French might also enjoy this 45 minute video by a seasoned data science competitor, Pierre Courtiol: [https://www.college-de-france.fr/site/stephane-mallat/seminar-2018-02-21-11h15.htm](https://www.college-de-france.fr/site/stephane-mallat/seminar-2018-02-21-11h15.htm).

Good luck to all!

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**Author:** ![lebigot](https://yyz1.discourse-cdn.com/flex029/user_avatar/datachallenge.cfm.fr/lebigot/32/10_2.png) [@lebigot](https://datachallenge.cfm.fr/u/lebigot)\
**Post date:** [April 5, 2018, 6:29pm UTC](https://datachallenge.cfm.fr/t/tips-for-data-science-competitions/73/2 "2018-04-05T18:29:00Z")

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