Which is the Best Statistics and Analytics Book?

What are the best Statistics and Analytics Books (practical oriented approach) that are available online for free ? Or can anybody attach these as pdf format. I need these urgently to learn and apply analytics in different areas.

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@whystatistics

The best book available for free on the internet is “The Elements of Statistical Learning”. Here is the link for download:

http://statweb.stanford.edu/~tibs/ElemStatLearn/

It is like a bible for people learning statistics. It is also used as reference in the Statistics course from Stanford.

If you are looking for a basic book, there is a basic book from same authors as well.

Hope this helps

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I think one must be careful to point out that this book already assumes that the reader is familiar with basic statistics and builds on that to teach advanced concepts at a more theoretical level. There is a ‘gentler’ version of this book which also assumes the reader has done a course in basic statistics and starts from linear regression, but is also aimed at people who may not have a complete mathematical background. In fact, a MOOC based on this book [2] is currently going on at StanfordX (registrations open until March 21st).

But from the reading the OP, it appears that (s)he may be looking for something like a stats cook-book rather than a detailed text-book.

[1] http://www-bcf.usc.edu/~gareth/ISL/
[2] https://statlearning.class.stanford.edu/

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“Probability”, by Guy Lebanon, PhD is a great reference book on the subject, published just last year.Guy Lebanon is head of the relevance team at LinkedIn.

Here’s one that’s more useful for a beginner: https://www.openintro.org/stat/textbook.php

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I like these books

R for SAS and SPSS Users

and SAS Certification Prep Guide

and Rattle for Data Mining

and a book I wrote

R for Business Analytics http://www.springer.com/statistics/book/978-1-4614-4342-1

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@whystatistics

If you are looking for a book with practical oriented approach, I believe you should read the book titled “BEHIND EVERY GOOD DECISION” by Piyanka Jain and Puneet Sharma.
You can read this book on Scribd.com for free.

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Here is a related thread along with an infographic:

http://discuss.analyticsvidhya.com/t/download-infographic-must-read-books-in-data-science-analytics/1756

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I began reading The Signal and the Noise just a few days ago. But I brought it almost a year before I knew there was something called ‘data science’. :smile:

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Recently I read “Naked Statistics - Stripping The Dread From The Data” By Charles Wheelan

I really enjoyed it. Charles Wheelan introduces statistical concepts, very convincingly, in layman terms

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Thanks Kunal !
Thank you very Much for sharing the link

Thanks all

Hi Gaurav,

Could you please link to this book? Thanks!!

R for Data Science
by: Garrett Grolemund and Hadley Wickham

This is an extremely well written and practical reference book. Moreover, I believe, for beginners to R this is a good book to start.
You can read it online at R for Data Science

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Thanks for all the books mentioned in the above comments.

  1. STATISTICS AND DATA ANALYSIS - A.ABEBE, J.DANIELS, J.W. MCKEAN AND J.A.KAPENGA.

  2. The Elements of Statistical Learning written - Trevor Hastie, Robert Tibshirani and Jerome Friedman.

  3. Multivariate Statistics with R - Paul J. Hewson.

  4. Data Science by AnalyticBridge - Vincent Granville, Ph.D. Founder, Data Wizard, Managing Partner

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Updated link for the book:- The Elements of statistical learning:

https://web.stanford.edu/~hastie/Papers/ESLII.pdf

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“Business Statistics For Contemporary Decision Making” by Ken Black.

A very good book about introductory probability and Bayesian inference is

Basic Probability, What Every Math Student Should Know , World Scientific Press, 2019,

It is a short book of 132 pages, but it covers all the essentials of probability for students learning about probability for the first time. In particular, the book gives much attention to conditional probability and Bayesian thinking and to the interface of probability and computer simulation.

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