Practical statistics for data scientists: 50 essential concepts

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Publisher:
O'Reilly,
Pub. Date:
©2017.
Language:
English
Description

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.

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
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Contributors:
ISBN:
9781491952962
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Grouping Information

Grouped Work ID6b6be249-af83-1778-6e61-a5ea246d8173
Grouping Titlepractical statistics for data scientists 50 essential concepts
Grouping Authorbruce peter c
Grouping Categorybook
Last Grouping Update2019-12-03 10:41:44AM
Last Indexed2019-12-12 04:45:18AM

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ils:.b19821748BookBooksFirst edition.EnglishO'Reilly, ©2017.xvi, 298 pages : illustrations ; 24 cm
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subject_facetBig data -- Mathematics
Mathematical analysis -- Statistical methods
Quantitative research -- Statistical methods
title_displayPractical statistics for data scientists : 50 essential concepts
title_fullPractical statistics for data scientists : 50 essential concepts / Peter Bruce and Andrew Bruce
title_shortPractical statistics for data scientists
title_sub50 essential concepts