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.
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
|Practical Statistics for Data Scientists
|Non-Fiction, Educational books
|Number of Pages
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.
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.
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Practical Statistics for Data Scientists PDF Free Download
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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.