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Amazon Top 20 Books in Statistics


These are the most popular statistics books on Amazon. Some interesting books made their way onto this list, and hopefully you find something of interest here.



By Matthew Mayo.

The recent explosion of interest in data science, data mining, and related disciplines has been mirrored by an explosion in book titles on these same topics. One of the best ways to decide which books could be useful for your career is to look at which books others are reading.

This post details the 20 most popular titles in Amazon's Statistics Books category as of Nov 8, 2015.

Note: KDnuggets gets absolutely no royalties from Amazon - this list is presented only to help our readers evaluate interesting books.

Amazon Statistics Books

1. Outliers: The Story of Success
by Malcolm Gladwell
4.3 out of 5 stars (3880 reviews)
Paperback, $10.18

2. How to Lie with Statistics
by Darrell Huff
4.5 out of 5 stars (327 reviews)
Paperback, $10.26

3. The Visual Display of Quantitative Information
by Edward R. Tufte
4.4 out of 5 stars (217 reviews)
Hardcover, $29.62

4. Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
by Nassim Nicholas Taleb
3.9 out of 5 stars (698 reviews)
Paperback, $9.67

5. The Best American Infographics 2015
by Gareth Cook
5.0 out of 5 stars (1 review)
Paperback, $11.00

6. Data Science for Business: What you need to know about data mining and data-analytic thinking
by Foster Provost & Tom Fawcett
4.6 out of 5 stars (122 reviews)
Paperback, $37.99

7. Learning: How To Become a Genius & Expert In Any Subject With Accelerated Learning
by Harvey Segler
4.3 out of 5 stars (66 reviews)
Kindle, $0.76

8. Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions
by BarChats, Inc.
4.5 out of 5 stars (130 reviews)
Pamphlet, $5.95

9. The Little Book of Stupidity: How We Lie to Ourselves and Don't Believe Others
by Sia Mohajer
4.9 out of 5 stars (13 reviews)
Kindle, $2.95

10. Simple Rules: How to Thrive in a Complex World
by Donald Sull & Kathleen M. Eisenhardt
4.4 out of 5 stars (103 reviews)
Audible, $17.95

11. Data Science for Business: What you need to know about data mining and data-analytic thinking
by Foster Provost & Tom Fawcett
4.6 out of 5 stars (122 reviews)
Kindle, $14.87

12. Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
by Nassim Nicholas Taleb & Sean Pratt
3.9 out of 5 stars (698 reviews)
Audible, $19.95

13. The Signal and the Noise: Why So Many Predictions Fail - But Some Don't
by Nate Silver
4.3 out of 5 stars (971 reviews)
Hardcover, $16.99

14. Envisioning Information
by Edward R. Tufte
4.4 out of 5 stars (105 reviews)
Hardcover, $40.89

15. Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves
by Christian Rudder
4.0 out of 5 stars (261 reviews)
Paperback, $10.25

16. Discovering Statistics Using IBM SPSS Statistics
by Andy Field
4.3 out of 5 stars (160 reviews)
Paperback, $65.23

17. The Cartoon Guide to Statistics
by Larry Gonick & Woollcott Smith
4.2 out of 5 stars (153 reviews)
Paperback, $10.98

18. Microsoft Excel 2013 Data Analysis and Business Modeling
by Wayne Winston
4.4 out of 5 stars (30 reviews)
Paperback, $34.35

19. Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves
by Christian Rudder
4.0 out of 5 stars (261 reviews)
Kindle, $13.50

20. How to Lie with Statistics
by Darrell Huff
4.5 out of 5 stars (327 reviews)
Kindle, $7.51

Bio: Matthew Mayo is a computer science graduate student currently working on his thesis parallelizing machine learning algorithms. He is also a student of data mining, a data enthusiast, and an aspiring machine learning scientist.

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