The most-mentioned books on r/datascience

May 8, 2024

Reddit is a social media and news aggregation website that ranks content based on a voting system. People worldwide post content (usually links, but also original content), and other users can “upvote” or “downvote” posts, pushing the most interesting content to the top.

It’s a place where you can find groups of like-minded people. Reddit calls these groups subreddits, and they cover different topics, including niche interests, politics, hobbies, and thousands of other topics people want to talk about.

Since its launch in 2005, the site has become one of the most popular social media sites with millions of monthly active users.

We've processed billions of comments to find the books most mentioned on Reddit.

Table of Contents

The most-mentioned books on r/datascience
Our methodology
Who are we

The most-mentioned books on r/datascience

Data Science for Business	35 users
Python for Data Analysis	15 users
An Introduction to Statistical Learning	15 users
Data Science from Scratch	15 users
Elements of Statistical Learning Data Mining, Inference, and Predic...	13 users
Data Smart	13 users
Hands-On Machine Learning with Scikit-Learn and TensorFlow	12 users
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow	11 users
Clean Code	10 users
Storytelling with Data	10 users
Trustworthy online controlled experiments	9 users
Designing Data-Intensive Applications	9 users
Weapons of Math Destruction	8 users
The Visual Display of Quantitative Information	8 users
Applied Predictive Modeling	8 users
Statistical Rethinking	8 users
Practical Statistics for Data Scientists	7 users
Ace the Data Science Interview	6 users
The Data Warehouse Toolkit	6 users
Python Data Science Handbook	6 users
The Signal and the Noise	5 users
Cracking the Coding Interview	5 users
Data Scientists at Work	5 users
Discovering Statistics Using R	5 users
Lean Analytics	5 users
Doing Data Science	5 users
Statistics For Data Scientists	5 users
Applied Linear Statistical Models	4 users
Doing Bayesian Data Analysis	4 users
Pattern Recognition and Machine Learning	4 users
How to Lie with Statistics	4 users
Naked Statistics	4 users
Programming Collective Intelligence	4 users
SQL in 10 Minutes, Sams Teach Yourself	4 users
Interactive Data Visualization for the Web	4 users
Python Machine Learning	4 users
Everybody Lies	3 users
Data Mining	3 users
Music In The United States	3 users
Probabilistic Graphical Models	3 users
Database Design for Mere Mortals	3 users
All of Statistics	3 users
The Book of Why	3 users
Data Analysis Using SQL and Excel	3 users
The Data Science Handbook	3 users
Web Scraping with Python	3 users
Fluent Python	3 users
Machine Learning with Python Cookbook	3 users
Extending The Linear Model With R	3 users
Practical Data Science with R	3 users
Deep Learning with Python	3 users
Build a Career in Data Science	3 users
R for Marketing Research and Analytics	3 users

Our methodology

Book mentions are found by checking every reddit comment for links to Amazon, Goodreads, Google Books, and O'Rielly Media. Non-link mentions are too tricky to parse in an unbiased way: books with short, simple titles like The Road get massively under- or over-counted.

When a user mentions the same book multiple times in the same subreddit, we only count the top-voted comment. This curbs users shilling a particular book, and gives a more representative feel for an entire subreddit.

Who are we

Find accountability partners, and study online courses & books with other learners. Moocable helps you find your next course/book/problem set, and lets you find study partners.

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