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22 books
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Data Science Books
Showing 1-50 of 4,718
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 235 times as data-science)
avg rating 4.13 — 2,424 ratings — published 2013
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 204 times as data-science)
avg rating 4.40 — 6,723 ratings — published 2015
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 199 times as data-science)
avg rating 4.59 — 2,172 ratings — published 2013
Python for Data Analysis (Paperback)
by (shelved 182 times as data-science)
avg rating 4.17 — 2,254 ratings — published 2011
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
by (shelved 181 times as data-science)
avg rating 3.97 — 50,074 ratings — published 2012
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 179 times as data-science)
avg rating 3.88 — 27,089 ratings — published 2016
Data Science from Scratch: First Principles with Python (Kindle Edition)
by (shelved 176 times as data-science)
avg rating 3.91 — 1,058 ratings — published 2015
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 176 times as data-science)
avg rating 3.95 — 13,929 ratings — published 2012
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 173 times as data-science)
avg rating 4.43 — 1,778 ratings — published 2001
Hands-On Machine Learning with Scikit-Learn and TensorFlow (Kindle Edition)
by (shelved 156 times as data-science)
avg rating 4.56 — 2,462 ratings — published 2017
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 139 times as data-science)
avg rating 4.11 — 994 ratings — published 2013
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Hardcover)
by (shelved 131 times as data-science)
avg rating 3.91 — 40,342 ratings — published 2017
Doing Data Science: Straight Talk from the Frontline (Paperback)
by (shelved 126 times as data-science)
avg rating 3.73 — 564 ratings — published 2013
Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
by (shelved 125 times as data-science)
avg rating 4.31 — 598 ratings — published 2016
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 122 times as data-science)
avg rating 4.01 — 488 ratings — published
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Paperback)
by (shelved 119 times as data-science)
avg rating 4.54 — 1,115 ratings — published 2016
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 116 times as data-science)
avg rating 4.17 — 4,486 ratings — published 2019
The Visual Display of Quantitative Information, 2nd Ed. (Hardcover)
by (shelved 113 times as data-science)
avg rating 4.39 — 8,271 ratings — published 1983
Deep Learning (ebook)
by (shelved 98 times as data-science)
avg rating 4.43 — 1,891 ratings — published 2016
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 96 times as data-science)
avg rating 4.32 — 1,818 ratings — published 2006
How to Lie with Statistics (Paperback)
by (shelved 79 times as data-science)
avg rating 3.84 — 16,334 ratings — published 1954
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 77 times as data-science)
avg rating 4.35 — 118,370 ratings — published 2019
Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
by (shelved 75 times as data-science)
avg rating 4.35 — 536 ratings — published 2015
Deep Learning with Python (Paperback)
by (shelved 75 times as data-science)
avg rating 4.57 — 1,264 ratings — published 2017
Algorithms to Live By: The Computer Science of Human Decisions (Hardcover)
by (shelved 71 times as data-science)
avg rating 4.13 — 31,246 ratings — published 2016
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 71 times as data-science)
avg rating 3.69 — 8,554 ratings — published 2013
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 68 times as data-science)
avg rating 4.08 — 20,098 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 3.66 — 2,063 ratings — published 2013
Designing Data-Intensive Applications (ebook)
by (shelved 66 times as data-science)
avg rating 4.71 — 8,404 ratings — published 2015
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 65 times as data-science)
avg rating 4.26 — 1,188 ratings — published
Applied Predictive Modeling (Hardcover)
by (shelved 62 times as data-science)
avg rating 4.42 — 324 ratings — published 2013
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 61 times as data-science)
avg rating 3.93 — 5,479 ratings — published 2018
Dataclysm: Who We Are (When We Think No One's Looking)
by (shelved 59 times as data-science)
avg rating 3.74 — 12,017 ratings — published 2014
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 58 times as data-science)
avg rating 4.10 — 8,000 ratings — published 2013
The Art of Data Science: A Guide for Anyone Who Works with Data (ebook)
by (shelved 57 times as data-science)
avg rating 3.73 — 284 ratings — published 2015
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
by (shelved 56 times as data-science)
avg rating 3.75 — 6,050 ratings — published 2015
Think Stats (Paperback)
by (shelved 56 times as data-science)
avg rating 3.62 — 458 ratings — published 2011
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
by (shelved 55 times as data-science)
avg rating 4.32 — 183 ratings — published
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists (Paperback)
by (shelved 55 times as data-science)
avg rating 4.07 — 311 ratings — published 2010
Python Machine Learning (Paperback)
by (shelved 52 times as data-science)
avg rating 4.25 — 725 ratings — published 2015
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 51 times as data-science)
avg rating 4.12 — 6,913 ratings — published 2020
Machine Learning: A Probabilistic Perspective (Hardcover)
by (shelved 46 times as data-science)
avg rating 4.36 — 509 ratings — published
Truthful Art, The: Data, Charts, and Maps for Communication (Voices That Matter)
by (shelved 41 times as data-science)
avg rating 4.27 — 394 ratings — published 2016
Statistics Done Wrong: The Woefully Complete Guide (Paperback)
by (shelved 41 times as data-science)
avg rating 4.18 — 1,022 ratings — published 2013
Numsense! Data Science for the Layman: No Math Added (Kindle Edition)
by (shelved 40 times as data-science)
avg rating 4.15 — 578 ratings — published
The Model Thinker: What You Need to Know to Make Data Work for You (Hardcover)
by (shelved 39 times as data-science)
avg rating 3.91 — 841 ratings — published 2018
Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit (Paperback)
by (shelved 39 times as data-science)
avg rating 4.10 — 554 ratings — published 2009
How Not to Be Wrong: The Power of Mathematical Thinking (Hardcover)
by (shelved 38 times as data-science)
avg rating 3.95 — 19,583 ratings — published 2014
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think (Hardcover)
by (shelved 38 times as data-science)
avg rating 4.36 — 183,332 ratings — published 2018
Practical Data Science with R (Paperback)
by (shelved 37 times as data-science)
avg rating 4.17 — 99 ratings — published 2014
“Hacking described his research interest ‘in classifications of people, in how they affect the people classified, and how the affects on the people in turn change the classifications.’ Hacking labeled the subjects of these studies ‘moving targets’ because researchers’ investigatory efforts change them in ways so ‘they are not quite the same kind of people as before.”
― Queer Data: Using Gender, Sex and Sexuality Data for Action
― Queer Data: Using Gender, Sex and Sexuality Data for Action
“Successful AI initiatives start with the right problems, but the right problems don’t necessarily come from your data scientists. They can come from leaders, domain experts, and innovators who sit close to the daily business challenges in your organization. Still, it takes practice to develop the vision for spotting AI opportunities...”
― The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications
― The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications
