Practical Statistics for Data Scientists: 50 Essential Concepts

Practical Statistics for Data Scientists: 50 Essential Concepts Author Peter Bruce
ISBN-10 1491952962
ISBN-13 9781491952962
Year 2017-06-02
Pages 320
Language English
Publisher O’Reilly Media
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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 youre 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 youll learn Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that learn from dataUnsupervised learning methods for extracting meaning from unlabeled data

Other Version:

Doing Data Science

Doing Data Science Author Cathy O'Neil
ISBN-10 9781449363895
Release 2013-10-09
Pages 408