Author: Capri Granville

Below is an extract of a 10-page cheat sheet about data science, compiled by Maverick Lin. This cheatsheet is currently a reference in data science that covers basic concepts in probability, statistics, statistical learning, machine learning, deep learning, big data frameworks and SQL. The cheatsheet is loosely based off of *The Data Science Design Manual* by Steven S. Skiena and *An Introduction to Statistical Learning* by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. Inspired by William Chen’s *The Only Probability Cheatsheet You’ll Ever Need*, located here.

Full cheat sheet available here as a PDF document. Originally posted here. The screenshot below is an extract.

For related cheat cheats (machine learning, deep learning and so on) follow this link.

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