Recommended Reading from Doing Data Science (14 books)

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Books listed in Doing Data Science [ISBN: 978-1-449-35865-5] as recommended reading.

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1		Linear Algebra and Its Applications by Gilbert Strang 4.29 avg rating — 1,188 ratings score: 100, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2		Convex Optimization by Stephen Boyd 4.48 avg rating — 360 ratings score: 99, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
3		Introduction to Probability Models by Sheldon M. Ross 3.97 avg rating — 232 ratings score: 98, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
4		A First Course in Probability by Sheldon M. Ross 3.93 avg rating — 537 ratings score: 97, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
5		R in a Nutshell by Joseph Adler 3.72 avg rating — 210 ratings score: 96, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
6		Learning Python by Mark Lutz 4.02 avg rating — 3,222 ratings score: 95, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
7		R for Everyone: Advanced Analytics and Graphics by Jared P. Lander 4.06 avg rating — 180 ratings score: 94, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
8		The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff 4.02 avg rating — 589 ratings score: 93, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
9		Python for Data Analysis by Wes McKinney 4.17 avg rating — 2,475 ratings score: 92, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
10		Exploratory Data Analysis by John W. Tukey 4.23 avg rating — 71 ratings score: 91, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
11		The Visual Display of Quantitative Information by Edward R. Tufte 4.39 avg rating — 8,775 ratings score: 90, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
12		The Elements of Graphing Data by William S. Cleveland 4.05 avg rating — 77 ratings score: 89, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
13		Statistical Graphics for Visualizing Multivariate Data by William G. Jacoby 3.50 avg rating — 4 ratings score: 88, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
14		The Idea Factory: Bell Labs and the Great Age of American Innovation by Jon Gertner (Goodreads Author) 4.21 avg rating — 9,217 ratings score: 87, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars

14 books · 1 voter · list created May 9th, 2021 by Freso :watermelon: (votes) .

Tags: data-science

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Freso :watermelon: 1087 books
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