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https://github.com/ml874/Data-Science-Cheatsheet


https://github.com/ml874/Data-Science-Cheatsheet

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README

        

**Update (2019-12-18)**: The *Data Science Cheatsheet* has evovled into a book! Check out *Cracking the Data Science Interview* [here](https://www.amazon.com/dp/171068013X/ref=sr_1_8?keywords=cracking+the+data+science+interview&qid=1576688426&sr=8-8)! This also means that the Cheatsheet will be getting a makeover soon- stay tuned!

# Data Science Cheatsheet
This cheatsheet is currently a 9-page reference in basic data science that covers basic concepts in probability, statistics, statistical learning, machine 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](https://github.com/wzchen/probability_cheatsheet).

## Future Additions
* ~~Graph Theory~~
* Algorithms and Data Structures
* Python
* Advanced SQL (SQL Part II)
* Data Science on the Cloud- AWS/GCP/Azure
* Linear Algebra
* Data Engineering

## Screenshots
![](Screenshots/screenshot1.png?raw=true)
![](Screenshots/screenshot2.png?raw=true)

## License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Creative Commons License

## Changelog
**2020-04-18** Added Graph Theory Section

**2018-08-13** Added Python Data Structures Section

**2018-08-12** Added Feature Engineering Section

**2018-08-10**: Added Data Science Cheat Sheet

## Contact
Feel free to suggest comments, updates, and potential improvements!

**Maverick Lin**: Reach out to me via [Quora](https://www.quora.com/profile/Maverick-Lin) or through my [website](http://mavericklin.com/). Cheers.