It’s been a hell of a year in data. As promised, here are your top links of 2017, ranked by number of clicks.

As a group, you clearly care about the practical: almost every post focuses on a how-to. Apparently you like “thought leadership” content just about as much as I do.

Thanks for an amazing 2017; it’s been a privilege to be in your inbox every week. If you’d like to pay it forwards, please share this issue with friends and coworkers! 🙏

See you in 2018!

- Tristan

#1: The 10 Statistical Techniques Data Scientists Need to Master

towardsdatascience.com • Share

#2: How to Become a Data Scientist

towardsdatascience.com • Share

#3: Communication in Data Science

ubc-mds.github.io • Share

#4: A Collection of Interesting, Subtle, and Tricky Python Snippets

github.com • Share

#5: The Startup Founder’s Guide to Analytics

thinkgrowth.org • Share

#6: Seeing Theory: A Visual Introduction to Probability and Statistics

students.brown.edu • Share

#7: 6 Books Every Data Scientist Should Keep Nearby

www.kdnuggets.com • Share

#8: How You Battle the "Data Wheel of Death"

brianbalfour.com • Share

#9: How to Job Interview a Data Scientist

blog.modeanalytics.com • Share

#10: Spotify’s Discover Weekly: How Machine Learning Finds Your New Music

hackernoon.com • Share

#11 (Bonus): I am not a real data scientist.

…because it’s just so important.

brohrer.github.io • Share

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By Tristan Handy

The internet's most useful data science articles. Curated with ❤️ by Tristan Handy.

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