By using our services, you agree to our use of cookies Learn more Got it Sign in Hidden fields Search Books My books Shop Audiobooks Comics Apps My apps Shop Games Family Editors Choice Movies TV My movies TV Shop TV Family Studios Networks Devices Shop Entertainment Account Payment methods My subscriptions Redeem Buy gift card My wishlist My Play activity Parent Guide Consumer Information Genres Ebooks Arts Business, law stock market Childrens books Computers technology Cooking, food wine Fiction literature History Mystery thrillers Philosophy Politics current events Religion spirituality Romance Science fiction fantasy Travel Audiobooks Arts entertainment Biographies memoirs Business investing Fiction literature Health, mind body History Language instruction Mystery thrillers Religion spirituality Romance Science technology Science fiction fantasy Self-help Travel Young adult Comics manga Comics in English Crime mystery Erotic Fantasy Graphic novels Historical fiction Humor Science fiction US comics in French Home Top charts New arrivals Practical Statistics for Data Scientists: 50 Essential Concepts Peter Bruce Andrew Bruce May 2017 OReilly Media, Inc.Add to Wishlist 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. Practical Statistics For Data Scientists 50 Essential Concepts How To Apply VariousThis practical guide explains how to apply various 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 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 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 Read more Collapse About the author Peter Bruce founded and grew the Institute for Statistics Education at Statistics.com, which now offers about 100 courses in statistics, roughly a third of which are aimed at the data scientist. Practical Statistics For Data Scientists 50 Essential Concepts Professional Data ScientistsIn recruiting top authors as instructors and forging a marketing strategy to reach professional data scientists, Peter has developed both a broad view of the target market, and his own expertise to reach it. He has a Ph.D. in statistics from the University of Washington and published numerous papers in refereed journals. He has developed statistical-based solutions to a wide range of problems faced by a variety of industries, from established financial firms to internet startups, and offers a deep understanding the practice of data science. Read more Collapse Published on May 10, 2017 Read more Collapse Pages 318 Read more Collapse ISBN 9781491952917 Read more Collapse Features Flowing text, Google-generated PDF Read more Collapse Best for Web, Tablet, Phone Read more Collapse Language English Read more Collapse Genres Computers Data Processing Computers Databases Data Warehousing Computers Databases General Read more Collapse Content protection This content is DRM protected. Read more Collapse Read aloud Available on Android devices Read more Collapse Report Flag as inappropriate Reading information Smartphones and Tablets Install the Google Play Books app for Android and iPadiPhone. It syncs automatically with your account and allows you to read online or offline wherever you are. ![]() Please follow the detailed Help center instructions to transfer the files to supported eReaders. Google Site Terms of Service Privacy Developers About Google Location: France Language: English (United States) All prices include VAT. By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.
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