Statistics Using Python
Author: Oswald Campesato (Author)
Publisher finelybook 出版社: Mercury Learning and Information
Publication Date 出版日期: 2023-12-13
Language 语言: English
Print Length 页数: 260 pages
ISBN-10: 1683928806
ISBN-13: 9781683928805
Book Description
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 exploratoryanalysis, 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.
FEATURES
Provides Python code samples to ensure readers can immediately apply what they learn
Covers everything from basic data handling to advanced statistical concepts
Features downloadable companion files with code samples and figures
Includes two appendices, An Introduction to Python and an Introduction to Pandas as refresher material
1: Working with Data
2: Introduction to Probability
3: Introduction to Statistics
4: Metrics in Statistics
5: Probability Distributions
6: Hypothesis Testing
Appendices:
A. Introduction to Python
B. Introduction to Pandas
Index
About the Author
Oswald Campesato specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over forty books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
