num_pages: 360
description: Statistical methods are a key part of data science yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python provides practical guidance on applying statistical methods to data science tells you how to avoid their misuse and gives you advice on whats important and whats not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If youre familiar with the R or Python programming languages and have some exposure to statistics this quick reference bridges the gap in an accessible readable format. With this book youll 
language: English
title: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
publisher: O'Reilly Media