2026 Reading Challenge
Genres

Data Science


Data Science Books

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Storytelling with Data: A Data Visualization Guide for Business Professionals
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Python for Data Analysis
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Data Science from Scratch: First Principles with Python
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Naked Statistics: Stripping the Dread from the Data
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Python Data Science Handbook: Essential Tools for Working with Data
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
The Art of Statistics: How to Learn from Data
Practical Statistics for Data Scientists: 50 Essential Concepts
More data science books...

Lists

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien GéronDeep Learning by Ian GoodfellowMachine Learning with PyTorch and Scikit-Learn by Sebastian RaschkaBuild a Large Language Model by Sebastian RaschkaDesigning Machine Learning Systems by Chip Huyen
Machine Learning Engineering
24 books — 1 voter
R for Data Science by Hadley WickhamHands-On Programming with R by Garrett GrolemundDesign for How People Think by John WhalenThe Art of R Programming by Norman MatloffData Analysis with Open Source Tools by Philipp K. Janert
O'Reilly & No Starch Press
67 books — 3 voters

Think Bayes by Allen B. DowneyData Science at the Command Line by Jeroen JanssensGraph Databases by Ian RobinsonPractical Machine Learning by Ted DunningPractical Machine Learning by Ted Dunning
Humble Book Bundle: Data Science Presented by O'Reilly
16 books — 4 voters
Search by Stefan WeitzTargeted by Brittany KaiserThe Art of Invisibility by Kevin D. MitnickThe Quants by Scott PattersonAI Superpowers by Kai-Fu Lee
Data (science) audiobooks
22 books — 1 voter

Recoding Gender by Janet AbbateEncoding Race, Encoding Class by Sareeta AmruteRace After Technology by Ruha BenjaminTerror, Insecurity and Liberty by Didier BigoDistributed Blackness by André Brock Jr.
Melonie Fullick's Data Reads
32 books — 1 voter
17 Reasons Why Businesses Fail by Pooja AgnihotriAnthony Robbins by George IlianArtificial Intelligence and Machine Learning for Business by Steven FinlayThe Flight of a Wild Duck by Avram MillerCognitive Biases by Murat Durmus
Books for Business leadership in the age of data science and Artificial Intelligence
23 books — 25 voters

Quotes Tagged “Data Science”

Enamul Haque
“ Protecting data is not just about preventing unauthorized access. It also involves ensuring data integrity and availability. ”
― Enamul Haque, AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration
1 likes

Abhijit Naskar
“ Data is power. ”
― Abhijit Naskar, Azad Earth Army: When The World Cries Blood
0 likes

More quotes...

Videos Tagged “Data Science”

Data Science in 2016: Moving up
Data Science in 2016: Moving up
O'Reilly Webcast: Computational Thinking - Just Enough Math
O'Reilly Webcast: Computational Thinking - Just Enough Math
More videos...

Groups Tagged "Data Science"

Discover, discuss, and share books about programming, data science, and systems. From Lisp to Li…more
2 members, last active 6 years ago
Datacool Readers Group Grupo de lectores de libros sobre datos
12 members, last active 2 years ago
Data Book Club A place to discuss books about artificial intelligence, data, and technology with a social impac…more
211 members, last active 5 days ago
AIIM Community Book Club AIIM, The Global Community of Information Professionals, wants to know what good books you've be…more
6 members, last active 13 years ago