Data Science - Learning About Data
1. 
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
by:
Nate Silver
3.97 avg rating — 51,882 ratings 2. 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by:
Trevor Hastie
4.43 avg rating — 1,867 ratings 
4. 
5. 
An Introduction to Statistical Learning: with Applications in R
by:
Gareth James
4.59 avg rating — 2,296 ratings 6. 
8. 
Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
by:
Ian Ayres
3.72 avg rating — 5,974 ratings 9. 
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
by:
Cathy O'Neil
3.87 avg rating — 29,309 ratings 10. 
Dataclysm: Who We Are (When We Think No One's Looking)
by:
Christian Rudder
3.73 avg rating — 12,377 ratings 11. 
Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks.
by:
Michael Taylor
really liked it 4.00 avg rating — 172 ratings 12. 
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
by:
Foster Provost
4.13 avg rating — 2,587 ratings 
14. 
The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations
by:
James Surowiecki
3.82 avg rating — 24,615 ratings 15. 
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech 4.15 avg rating — 440 ratings
17. 
Naked Statistics: Stripping the Dread from the Data
by:
Charles Wheelan
3.96 avg rating — 14,831 ratings 18. 
The Functional Art: An introduction to information graphics and visualization
by:
Alberto Cairo
4.19 avg rating — 808 ratings 19. 
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are 3.90 avg rating — 42,037 ratings
20. 
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management 4.07 avg rating — 230 ratings
21. 
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
by:
Eric Siegel
3.66 avg rating — 2,105 ratings 22. 
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
by:
Nathan Yau
3.88 avg rating — 1,178 ratings 
24. 
Beautiful Data: The Stories Behind Elegant Data Solutions (Theory In Practice, #31)
by:
Toby Segaran
3.67 avg rating — 258 ratings 25. 
Quiet: The Power of Introverts in a World That Can't Stop Talking
by:
Susan Cain
4.08 avg rating — 465,695 ratings 
27. 
Algorithms to Live By: The Computer Science of Human Decisions
by:
Brian Christian
4.13 avg rating — 34,094 ratings 28. 
Data Smart: Using Data Science to Transform Information into Insight
by:
John W. Foreman
4.12 avg rating — 1,011 ratings 29. 
An Introduction to Applied Multivariate Analysis with R
by:
Brian S. Everitt
3.93 avg rating — 29 ratings 
31. 
Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by:
Luís Torgo
3.81 avg rating — 86 ratings 31. 
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists 4.07 avg rating — 312 ratings
36. 
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
by:
Samuel Hack
4.39 avg rating — 23 ratings 
39. 
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by:
Hadley Wickham
4.54 avg rating — 1,188 ratings 
42. 
The Art of Data Science: A Guide for Anyone Who Works with Data
by:
Roger D. Peng
3.71 avg rating — 296 ratings 43. 
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites 3.73 avg rating — 373 ratings
44. 
The Misbehavior of Markets: A Fractal View of Financial Turbulence 4.09 avg rating — 6,000 ratings
46. 
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
by:
Michael Kearns
4.11 avg rating — 651 ratings 
46. 
49. 
Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
by:
Avinash Kaushik
4.13 avg rating — 1,524 ratings 49. 
Big Data: A Revolution That Will Transform How We Live, Work, and Think 3.69 avg rating — 8,660 ratings
49. 
55. 
The Basics of Data Literacy: Helping Your Students (And You!) Make Sense of Data - PB343X
by:
Michael Bowen
4.39 avg rating — 18 ratings 
59. 
Beautiful Visualization: Looking at Data through the Eyes of Experts
by:
Julie Steele
3.82 avg rating — 241 ratings 60. 
Data Analysis Using Regression and Multilevel/Hierarchical Models
by:
Andrew Gelman
4.36 avg rating — 289 ratings 61. 
What is a P-Value Anyway? 34 Stories to Help You Actually Understand Statistics 3.92 avg rating — 235 ratings
62. 
Guesstimation: Solving the World's Problems on the Back of a Cocktail Napkin 3.73 avg rating — 422 ratings
63. 
Introduction to Data Mining (2nd Edition) (What's New in Computer Science)
by:
Pang-Ning Tan
3.97 avg rating — 369 ratings 63. 
Humanizing Big Data: Marketing at the Meeting of Data, Social Science & Consumer Insight
by:
Colin Strong
3.81 avg rating — 43 ratings 
63. 
The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
by:
David Salsburg
3.92 avg rating — 1,974 ratings 63. 
Think Like a Data Scientist: Tackle the data science process step-by-step
by:
Brian Godsey
3.78 avg rating — 95 ratings 63. 
63. 
A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control
by:
Kartik Hosanagar
3.86 avg rating — 442 ratings 63. 
All of Statistics: A Concise Course in Statistical Inference
by:
Larry Wasserman
4.26 avg rating — 387 ratings 63. 
Say It With Charts: The Executive's Guide to Visual Communication
by:
Gene Zelazny
3.83 avg rating — 481 ratings 
63. 
The Essence of Artificial Intelligence: The Essence of Artificial Intelligence
by:
Alison Cawsey
3.47 avg rating — 51 ratings 63. 
Big Data in Omics and Imaging: Association Analysis
by:
Momiao Xiong
really liked it 4.00 avg rating — 2 ratings 63. 
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
by:
J.D. Long
4.25 avg rating — 16 ratings 63. 
Taxonomy of the most commonly used Machine Learning Algorithms
by:
Murat Durmus
4.33 avg rating — 6 ratings 63. 
63. 
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
by:
Kumar Abhishek
4.86 avg rating — 7 ratings 85. 
Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences Book 163)
by:
Brigitte Le Roux
really liked it 4.00 avg rating — 4 ratings 
85. 
Bayes' Theorem Examples: A Visual Introduction For Beginners
by:
Dan Morris
3.90 avg rating — 813 ratings 85. 
85. 
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference (Chapman & Hall/CRC Computational Biology Series)
by:
Momiao Xiong
liked it 3.00 avg rating — 3 ratings 85. 
Understanding Artificial Intelligence: A Concise Introduction
by:
Evlyn Faintes
4.33 avg rating — 3 ratings 85. 
Cognitive Biases: A Brief Overview of Over 160 Cognitive Biases + Bonus Chapter: Algorithmic Bias
by:
Murat Durmus
4.33 avg rating — 6 ratings 
93. 
Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
by:
Chris Smith
3.93 avg rating — 148 ratings 93. 
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by:
Steven Finlay
4.12 avg rating — 203 ratings 96. 
Truthful Art, The: Data, Charts, and Maps for Communication
by:
Alberto Cairo
4.26 avg rating — 411 ratings 
96. 
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by:
Aurélien Géron
4.55 avg rating — 2,709 ratings 
99. 
Working with Coders: A Guide to Software Development for the Perplexed Non-Techie
by:
Patrick Gleeson
really liked it 4.00 avg rating — 62 ratings