Data Science Center Blog
DSC’s 2021 Reading Recs
Happy New Year’s from the Data Science Center! Take a look at some of our book recommendations for the year. Whether you want to learn technical skills or have an interest in the social impacts of the growing data science community, there are books listed below for you.
Technical Books
1. R for Data Science by Hadley Wickham and Garrett Grolemund
2. Python Data Science Handbook by Jake VanderPlas
3. Natural Language Processing and Computational Linguistics by Bhargav Srinivasa-Desikan
Non-technical Books
1. Weapons of Math Destruction By Cathy O’Neil
2. The Art of Statistics: How to Learn from Data by David Spiegelhalter
3. Race After Technology by Ruha Benjamin
4. Algorithms of Oppression by Dr. Safiya Noble
5. Data Sketches by Nadieh Brimer and Shirley Wu
6. Behind the Screen by Sarah T. Roberts Dr. Sarah T. Roberts is one of our own.
She is an Assistant Professor of Information Studies at UCLA.
7. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz
Categories
Archives
- December 2021 (1)
- February 2021 (1)
- January 2021 (10)
- December 2020 (1)
- November 2020 (1)
- June 2020 (1)
- February 2017 (2)
- December 2016 (1)