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Statistics Using Python
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Oswald Campesato
Language:
English
Published/Copyright:
2023
About this book
This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs. Topics include working with data and exploratory analysis, the basics of probability, descriptive and inferential statistics and their applications, metrics for data analysis, probability distributions, hypothesis testing, and more. Appendices on Python and Pandas have been included. From foundational Python concepts to the intricacies of statistics, this book serves as a comprehensive resource for both beginners and seasoned professionals.
Author / Editor information
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
December 15, 2023
eBook ISBN:
9781683928799
Paperback published on:
December 27, 2023
Paperback ISBN:
9781683928805
Pages and Images/Illustrations in book
Main content:
274
Keywords for this book
Data mining; mathematics; probability; statistics; desktop applications; spreadsheets; data science; programmers; statisticians
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
