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Data Science Center Blog

DSC’s 2021 Reading Recs

By JESSICA CHUN on Thu, 2021-01-14 17:26

 

   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

 Book cover of R for Data Science by Hadley Wickham and Garrett Grolemund with a yellow and green drawing of an owl.

2. Python Data Science Handbook by Jake VanderPlas

Book cover of Python Data Science Handbook by Jack VanderPlas with a black and white drawing of a gila monster.

 

 

 

 

 

 

 

 

 

3. Natural Language Processing and Computational Linguistics by Bhargav Srinivasa-Desikan

Book cover for Natural Language Processing and Computational Linguistics by Bhargav Srinivasa-Desikan, with the title in white text over a black and white photo of the author.

 

Non-technical Books

1. Weapons of Math Destruction By Cathy O’Neil

 Book cover of Weapons of Math Destruction By Cathy O’Neil: a yellow background bordered by red lines drawn outward. In the center are geometric shapes and arrows from flow charts formed into a skull and crossbones.

2. The Art of Statistics: How to Learn from Data by David Spiegelhalter

Book cover of The Art of Statistics: How to Learn from Data by David Spiegelhalter, with the title in white text and a background filled with colorful angled lines to mimic motion and depth.

3. Race After Technology by Ruha Benjamin

A black and white book cover of Race After Technology by Ruha Benjamin, with a close-up portrait of a person with metal glasses and a background filled with circuits.

4. Algorithms of Oppression by Dr. Safiya Noble

Book cover of Algorithms of Oppression by Dr. Safiya Noble, with “why are black women so…” in a search engine with the suggested search phrases listed: “why are black women so angry, loud, mean, attractive, lazy, annoying, confident, sassy, insecure.” The title is colored similar to Google colors, blue, red, yellow, and green.

5. Data Sketches by Nadieh Brimer and Shirley Wu

Book cover of Data Sketches by Nadieh Brimer and Shirley Wu with geometric data visualizations circling the title. They use a warm and cool color scheme where yellow, green and blue figures alternate with the red, orange and yellow figures.

6. Behind the Screen by Sarah T. Roberts Dr. Sarah T. Roberts is one of our own.

Book cover of Behind the Screen by Sarah T. Roberts. Over a dark background to the right, the left side shows a person’s hands covering their face.

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

 ​​​​​Book cover for Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz. Under the title is an elephant covered in zebra stripes standing in a single-file line of zebras.

  

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