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Practical Statistics for Data Scientists

50 Essential Concepts

by Peter Bruce Author · Andrew Bruce Author

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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 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
  • Publication Details

    Publisher:
    O'Reilly Media
    Publication Date:
    2017

    Format

    • Kindle Book
    • OverDrive Read 12.5 MB
    • Adobe PDF eBook 12.9 MB
    • Adobe EPUB eBook 10.4 MB
    • Open PDF eBook 12.9 MB
    • Open EPUB eBook 10.4 MB

    Peter Bruce (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. In recruiting top authors as instructors and forging...

    More about Peter Bruce

    Andrew Bruce (Author)

    Andrew Bruce has over 30 years of experience in statistics and data science in academia, government and business. He has a Ph.D. in statistics from the University of Washington and published numerous papers in refereed journals. He has developed s...

    More about Andrew Bruce
    Practical Statistics for Data Scientists
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