Sign in with Facebook
86 books
—
78 voters
Data Science Books
Showing 1-50 of 5,066
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 251 times as data-science)
avg rating 4.13 — 2,672 ratings — published 2013
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 225 times as data-science)
avg rating 4.38 — 8,376 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 202 times as data-science)
avg rating 4.59 — 2,355 ratings — published 2013
Python for Data Analysis (Paperback)
by (shelved 199 times as data-science)
avg rating 4.17 — 2,465 ratings — published 2011
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
by (shelved 188 times as data-science)
avg rating 3.97 — 52,742 ratings — published 2012
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 188 times as data-science)
avg rating 3.87 — 30,529 ratings — published 2016
Data Science from Scratch: First Principles with Python (ebook)
by (shelved 182 times as data-science)
avg rating 3.90 — 1,158 ratings — published 2015
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 180 times as data-science)
avg rating 4.43 — 1,905 ratings — published 2001
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 176 times as data-science)
avg rating 3.95 — 15,322 ratings — published 2012
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 175 times as data-science)
avg rating 4.55 — 2,837 ratings — published 2017
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 134 times as data-science)
avg rating 4.53 — 1,236 ratings — published 2016
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 134 times as data-science)
avg rating 3.90 — 42,924 ratings — published 2017
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 134 times as data-science)
avg rating 4.30 — 679 ratings — published 2016
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 131 times as data-science)
avg rating 4.15 — 5,810 ratings — published 2019
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 129 times as data-science)
avg rating 4.01 — 546 ratings — published
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 127 times as data-science)
avg rating 4.12 — 1,020 ratings — published 2013
Doing Data Science: Straight Talk from the Frontline (Paperback)
by (shelved 125 times as data-science)
avg rating 3.73 — 567 ratings — published 2013
The Visual Display of Quantitative Information (Hardcover)
by (shelved 115 times as data-science)
avg rating 4.39 — 8,719 ratings — published 1983
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 101 times as data-science)
avg rating 4.32 — 1,913 ratings — published
Deep Learning (ebook)
by (shelved 98 times as data-science)
avg rating 4.44 — 2,149 ratings — published 2016
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 95 times as data-science)
avg rating 4.33 — 175,413 ratings — published 2019
How to Lie with Statistics (Paperback)
by (shelved 83 times as data-science)
avg rating 3.84 — 18,310 ratings — published 1954
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 76 times as data-science)
avg rating 4.12 — 35,498 ratings — published 2016
Designing Data-Intensive Applications (ebook)
by (shelved 76 times as data-science)
avg rating 4.69 — 10,871 ratings — published 2015
Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
by (shelved 75 times as data-science)
avg rating 4.33 — 603 ratings — published 2015
Deep Learning with Python (Paperback)
by (shelved 74 times as data-science)
avg rating 4.57 — 1,428 ratings — published 2017
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 72 times as data-science)
avg rating 4.25 — 1,471 ratings — published
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
by (shelved 69 times as data-science)
avg rating 4.21 — 261 ratings — published
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 69 times as data-science)
avg rating 4.08 — 22,611 ratings — published 2015
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
by (shelved 66 times as data-science)
avg rating 3.67 — 2,126 ratings — published 2013
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 65 times as data-science)
avg rating 3.93 — 6,707 ratings — published 2018
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 64 times as data-science)
avg rating 3.69 — 8,686 ratings — published 2013
Applied Predictive Modeling (Hardcover)
by (shelved 61 times as data-science)
avg rating 4.40 — 345 ratings — published 2013
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 59 times as data-science)
avg rating 4.11 — 8,413 ratings — published 2020
The Art of Data Science: A Guide for Anyone Who Works with Data (ebook)
by (shelved 59 times as data-science)
avg rating 3.70 — 300 ratings — published 2015
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 58 times as data-science)
avg rating 4.11 — 8,237 ratings — published 2013
Think Stats (Paperback)
by (shelved 57 times as data-science)
avg rating 3.65 — 466 ratings — published 2011
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 56 times as data-science)
avg rating 3.73 — 12,509 ratings — published 2014
Python Machine Learning (Paperback)
by (shelved 53 times as data-science)
avg rating 4.24 — 759 ratings — published 2015
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
by (shelved 50 times as data-science)
avg rating 3.73 — 6,500 ratings — published 2015
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 48 times as data-science)
avg rating 4.34 — 522 ratings — published
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists (Paperback)
by (shelved 48 times as data-science)
avg rating 4.07 — 313 ratings — published 2010
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 42 times as data-science)
avg rating 4.44 — 1,111 ratings — published 2022
Forecasting: principles and practice (Paperback)
by (shelved 42 times as data-science)
avg rating 4.39 — 318 ratings — published 2013
Statistics Done Wrong: The Woefully Complete Guide (Paperback)
by (shelved 42 times as data-science)
avg rating 4.19 — 1,098 ratings — published 2013
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 41 times as data-science)
avg rating 4.33 — 261 ratings — published
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think (Hardcover)
by (shelved 41 times as data-science)
avg rating 4.35 — 204,248 ratings — published 2018
Numsense! Data Science for the Layman: No Math Added (Kindle Edition)
by (shelved 41 times as data-science)
avg rating 4.14 — 623 ratings — published
Bayesian Data Analysis (Hardcover)
by (shelved 41 times as data-science)
avg rating 4.21 — 541 ratings — published 1995
Artificial Intelligence: A Modern Approach (Hardcover)
by (shelved 39 times as data-science)
avg rating 4.21 — 4,476 ratings — published 1994
“Consuming data with no sense of context, gives you, not awareness, but only ulcers.”
― Brit Actually: Nursery Rhymes of Reparations
― Brit Actually: Nursery Rhymes of Reparations
“All good decisions are Data dependent. To make good decisions, you need good data. And you need that good data to be organized according to it's applicable use value. So every business should be mining data and organizing data to enable business leaders to make good decisions on behalf of the business.”
―
―
