**Update (2019-12-18)**: The *Data Science Cheatsheet* has evovled into a book! Check out *Cracking the Data Science Interview* here! 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.

## 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

## License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International 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 or through my website. Cheers.