Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Andrew Bruce, Peter Gedeck, Peter Bruce (Paperback, 2020)

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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 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 or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that learn from data Unsupervised learning methods for extracting meaning from unlabeled data

Product Identifiers

PublisherO'reilly Media, INC International Concepts USA
ISBN-139781492072942
eBay Product ID (ePID)6046573463

Product Key Features

Publication Year2020
SubjectComputer Science
Number of Pages350 Pages
LanguageEnglish
Publication NamePractical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
TypeTextbook
AuthorAndrew Bruce, Peter Gedeck, Peter Bruce
FormatPaperback

Dimensions

Item Height233 mm
Item Width178 mm

Additional Product Features

Country/Region of ManufactureUnited States
Title_AuthorPeter Gedeck, Andrew Bruce, Peter Bruce

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  • Great Book

    It's a great book, good value for money with examples of codes to learn from.

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