Practical Statistics for Data Scientists. Bruce, P. & Bruce, A. O'Reilly Media, Sebastopol, CA, 2017. abstract bibtex Statistical 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.
@Book{ bruce.ea2017-practical,
author = {Bruce, Peter and Bruce, Andrew},
year = {2017},
title = {Practical Statistics for Data Scientists},
abstract = {Statistical 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.},
address = {Sebastopol, CA},
isbn = {9781491952894},
keywords = {computer},
mendeley-tags= {computer},
publisher = {O'Reilly Media}
}