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Home › Non Fiction › Practical Statistics for Data Scientists PDF Free Download

Practical Statistics for Data Scientists PDF Free Download

January 26, 2023 by Debbie Millman

Practical Statistics for Data Scientists pdf is a book that provides a practical introduction to statistical methods for data scientists and engineers. The book covers a wide range of topics, including probability, statistical inference, hypothesis testing, and machine learning.

It also includes many examples and case studies to illustrate the concepts and methods described in the book. The author of the book is Peter Bruce, an experienced data scientist, and statistician. The book is published by O’Reilly Media and is available in print and electronic formats.

It is intended for data scientists, engineers, and other professionals who work with data and want to learn more about statistical methods and techniques. This book is available in numerous formats like audiobook, paperback, hardcover, and Epub.

Table of Contents

  • Summary of Practical Statistics for Data Scientists
  • Practical Statistics for Data Scientists Book Details
  • About the Author
  • Practical Statistics for Data Scientists Book Multiple Languages Editions
  • Similar Books to Practical Statistics for Data Scientists Book
  • Practical Statistics for Data Scientists PDF Free Download
  • FAQs (Frequently Asked Questions)

Summary of Practical Statistics for Data Scientists

The book covers a wide range of topics, including Probability: The book starts with an introduction to probability, including basic concepts such as random variables, probability distributions, and Bayes’ theorem. It also covers more advanced topics such as conditional probability and the central limit theorem.

Statistical Inference: The book then covers statistical inference, including estimation, hypothesis testing, and confidence intervals. It also covers the theory behind these methods and how to apply them in practice. Hypothesis Testing: The book covers the basics of hypothesis testing, including null and alternative hypotheses, p-values, and type I and type II errors. It also covers more advanced topics such as multiple testing and Bayesian hypothesis testing.

Machine Learning: The book includes a section on machine learning, including an introduction to supervised and unsupervised learning, as well as more advanced topics such as deep learning and reinforcement learning.

Throughout the book, the author uses many examples and case studies to illustrate the concepts and methods described.

Practical Statistics for Data Scientists Book Details

Book Practical Statistics for Data Scientists
Author Peter Bruce
Language English
Published Date 2017
Publisher O’Reilly Media
Category Non-Fiction, Educational books
Format PDF, ePub
Number of Pages 90

About the Author

The author of “Practical Statistics for Data Scientists” is Peter Bruce. The author is an experienced data scientist and statistician with over 25 years of experience in the field. He has worked as a data scientist and statistician at several companies, including Bell Labs and IBM.

He also frequently writes articles and blog posts on data science and statistics and is a respected speaker in the field. The author is famous because of his work.

Practical Statistics for Data Scientists

He is also a co-founder of the Institute for Statistics Education at Statistics.com, an online statistics education company. In addition to “Practical Statistics for Data Scientists,” he has also co-authored several other books on statistics, including “Data Wrangling with Python” and “Introduction to Statistical Learning.”

The author wrote different interesting books and he lives in the heart of all readers because of his classic and interesting work and books.

Practical Statistics for Data Scientists Book Multiple Languages Editions

For the interest of all readers, this fascinating book is obtainable in different languages. You can study this book in different languages.

Book EditionsCheck Now
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Similar Books to Practical Statistics for Data Scientists Book

  • Data Science from Scratch by O’Reilly Media
  • Applied Predictive Modeling by Max Kuhn, Kjell Johnson
  • Python Data Science Handbook by Jake VanderPlas
  • Grokking Algorithms 
  • Data Science for Business by Foster Provost
  • An Introduction to Statistical Learning by Gareth James

Practical Statistics for Data Scientists PDF Free Download

Here, in this section, this fantastic book is available for download and you will have to just click on the below download button.

Download PDF Now

FAQs (Frequently Asked Questions)

How many pages are in Practical Statistics for Data Scientists?

This interesting book contains a total of 90 pages for all readers.

What is the main theme of Practical Statistics for Data Scientists?

The main theme of Practical Statistics for Data Scientists is to provide a practical introduction to statistical methods for data scientists and engineers.

Who is the real author of Practical Statistics for Data Scientists?

The author of Practical Statistics for Data Scientists is Peter Bruce.

Is Practical Statistics for Data Scientists a book hard to read?

Yes, this book is hard to read for all readers because of its tough content.

What is the genre of Practical Statistics for Data Scientists?

The genre of Practical Statistics for Data Scientists is non-fiction and educational books.

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