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6 books
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2 voters
Data Analysis Books
Showing 1-50 of 919
Python for Data Analysis (Paperback)
by (shelved 45 times as data-analysis)
avg rating 4.17 — 2,434 ratings — published 2011
Storytelling with Data: A Data Visualization Guide for Business Professionals (Paperback)
by (shelved 43 times as data-analysis)
avg rating 4.39 — 8,047 ratings — published 2015
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
by (shelved 21 times as data-analysis)
avg rating 4.13 — 2,629 ratings — published 2013
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists (Paperback)
by (shelved 21 times as data-analysis)
avg rating 4.07 — 312 ratings — published 2010
Naked Statistics: Stripping the Dread from the Data (Paperback)
by (shelved 16 times as data-analysis)
avg rating 3.96 — 15,074 ratings — published 2012
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
by (shelved 15 times as data-analysis)
avg rating 3.97 — 52,273 ratings — published 2012
The Art of Statistics: How to Learn from Data (Hardcover)
by (shelved 14 times as data-analysis)
avg rating 4.15 — 5,580 ratings — published 2019
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
by (shelved 11 times as data-analysis)
avg rating 3.87 — 29,855 ratings — published 2016
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by (shelved 11 times as data-analysis)
avg rating 4.59 — 2,325 ratings — published 2013
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Hardcover)
by (shelved 10 times as data-analysis)
avg rating 3.69 — 8,669 ratings — published 2013
Data Smart: Using Data Science to Transform Information into Insight (Paperback)
by (shelved 10 times as data-analysis)
avg rating 4.12 — 1,015 ratings — published 2013
Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions (Paperback)
by (shelved 10 times as data-analysis)
avg rating 3.69 — 280 ratings — published 2009
Information Dashboard Design: The Effective Visual Communication of Data (Paperback)
by (shelved 10 times as data-analysis)
avg rating 4.02 — 1,797 ratings — published 2010
How to Lie with Statistics (Paperback)
by (shelved 9 times as data-analysis)
avg rating 3.84 — 17,908 ratings — published 1954
Lean Analytics: Use Data to Build a Better Startup Faster (Hardcover)
by (shelved 9 times as data-analysis)
avg rating 4.10 — 8,201 ratings — published 2013
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
by (shelved 9 times as data-analysis)
avg rating 4.05 — 444 ratings — published 2011
The Visual Display of Quantitative Information (Hardcover)
by (shelved 9 times as data-analysis)
avg rating 4.39 — 8,638 ratings — published 1983
Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
by (shelved 8 times as data-analysis)
avg rating 4.02 — 540 ratings — published
Bayesian Data Analysis (Hardcover)
by (shelved 8 times as data-analysis)
avg rating 4.21 — 538 ratings — published 1995
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
by (shelved 8 times as data-analysis)
avg rating 4.43 — 1,880 ratings — published 2001
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (Paperback)
by (shelved 8 times as data-analysis)
avg rating 3.88 — 1,187 ratings — published 2011
Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback)
by (shelved 7 times as data-analysis)
avg rating 4.18 — 879 ratings — published 2022
How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers (Paperback)
by (shelved 7 times as data-analysis)
avg rating 4.12 — 8,192 ratings — published 2020
Artificial Intelligence: A Guide for Thinking Humans (Hardcover)
by (shelved 7 times as data-analysis)
avg rating 4.34 — 3,806 ratings — published 2019
Invisible Women: Data Bias in a World Designed for Men (Hardcover)
by (shelved 7 times as data-analysis)
avg rating 4.34 — 165,353 ratings — published 2019
The Book of Why: The New Science of Cause and Effect (Hardcover)
by (shelved 7 times as data-analysis)
avg rating 3.94 — 6,520 ratings — published 2018
Knowledge is Beautiful (Unknown Binding)
by (shelved 7 times as data-analysis)
avg rating 4.18 — 944 ratings — published 2012
Show Me the Numbers: Designing Tables and Graphs to Enlighten (Hardcover)
by (shelved 7 times as data-analysis)
avg rating 3.92 — 4,531 ratings — published 2004
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
by (shelved 7 times as data-analysis)
avg rating 3.66 — 2,122 ratings — published 2013
R Graphics Cookbook: Practical Recipes for Visualizing Data (ebook)
by (shelved 7 times as data-analysis)
avg rating 4.24 — 302 ratings — published 2012
Beautiful Evidence (Hardcover)
by (shelved 7 times as data-analysis)
avg rating 4.15 — 2,371 ratings — published 2006
Envisioning Information (Hardcover)
by (shelved 7 times as data-analysis)
avg rating 4.22 — 7,938 ratings — published 1990
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights (Paperback)
by (shelved 6 times as data-analysis)
avg rating 4.29 — 56 ratings — published
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 6 times as data-analysis)
avg rating 4.25 — 1,414 ratings — published
Data Analytics Made Accessible (Kindle Edition)
by (shelved 6 times as data-analysis)
avg rating 3.75 — 321 ratings — published 2014
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
by (shelved 6 times as data-analysis)
avg rating 4.54 — 1,211 ratings — published 2016
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures (Paperback)
by (shelved 6 times as data-analysis)
avg rating 4.41 — 231 ratings — published
Storytelling with Data: Let's Practice! (Paperback)
by (shelved 6 times as data-analysis)
avg rating 4.47 — 175 ratings — published
Superforecasting: The Art and Science of Prediction (Hardcover)
by (shelved 6 times as data-analysis)
avg rating 4.08 — 22,056 ratings — published 2015
Information is Beautiful (Hardcover)
by (shelved 6 times as data-analysis)
avg rating 4.12 — 3,539 ratings — published 2001
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything (Hardcover)
by (shelved 6 times as data-analysis)
avg rating 4.01 — 893,784 ratings — published 2005
The Art of R Programming: A Tour of Statistical Software Design (Paperback)
by (shelved 6 times as data-analysis)
avg rating 4.02 — 589 ratings — published 2011
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think (Hardcover)
by (shelved 5 times as data-analysis)
avg rating 4.36 — 200,567 ratings — published 2018
Python for Everybody: Exploring Data in Python 3 (Kindle Edition)
by (shelved 5 times as data-analysis)
avg rating 4.27 — 919 ratings — published
Data Points: Visualization That Means Something (Paperback)
by (shelved 5 times as data-analysis)
avg rating 3.82 — 526 ratings — published 2013
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 5 times as data-analysis)
avg rating 4.32 — 1,896 ratings — published
Now You See It: Simple Visualization Techniques for Quantitative Analysis (Hardcover)
by (shelved 5 times as data-analysis)
avg rating 4.17 — 677 ratings — published 2009
Data Analysis Using Regression and Multilevel/Hierarchical Models (Paperback)
by (shelved 5 times as data-analysis)
avg rating 4.36 — 290 ratings — published 2006
The Functional Art: An introduction to information graphics and visualization (Voices That Matter)
by (shelved 5 times as data-analysis)
avg rating 4.20 — 815 ratings — published 2011
Data Analysis Using SQL and Excel (Paperback)
by (shelved 5 times as data-analysis)
avg rating 3.85 — 114 ratings — published 2007
“What are the data points that we can cross reference to help us make better decisions?”
―
―
“Do you need more data?
Do not assume the need for more data -- enough evidence of a problem might already exist to justify the need for action. Also explore who is already engaged in data practices on the topic to see if resources could support existing initiatives rather than create something afresh. The collection, analysis and use of data are resource-intensive. Before work begins, you therefore need to ask if this is the best use of time, resources and energy to address injustices that face LGBTQ people.”
― Queer Data: Using Gender, Sex and Sexuality Data for Action
Do not assume the need for more data -- enough evidence of a problem might already exist to justify the need for action. Also explore who is already engaged in data practices on the topic to see if resources could support existing initiatives rather than create something afresh. The collection, analysis and use of data are resource-intensive. Before work begins, you therefore need to ask if this is the best use of time, resources and energy to address injustices that face LGBTQ people.”
― Queer Data: Using Gender, Sex and Sexuality Data for Action
