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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