Practical Statistics for Data Scientists: 50 Essential ConceptsStatistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn:

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User Review  encephalical  LibraryThingFor context, I'm not a data scientist, but a visualization programmer who works with some and was looking for a book to get acquainted with some background material. The first four chapters on ... Read full review
Contents
Section 1  
Section 2  
Section 3  
Section 4  
Section 5  
Section 6  
Section 7  
Section 8  
Section 12  
Section 13  
Section 14  
Section 15  
Section 16  
Section 17  
Section 18  
Section 19  
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Practical Statistics for Data Scientists: 50 Essential Concepts Peter Bruce,Andrew Bruce Limited preview  2017 