Название: Statistics Using Python
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 18.0 MB

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.

Statistics Using Python is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, aiming to assist data scientists in their daily endeavors. While the book casts a wide net to cater to a broad audience, it ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs.

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
- Introduction to Pandas as refresher material

Target Audience:
This book primarily targets data scientists and enthusiasts who have a foundational understanding of statistics but wish to delve deeper. Whether you are a beginner wanting to grasp the basics or someone with intermediate knowledge aiming to broaden your statistical horizon, this book offers a structured approach to various concepts. The interleaving of foundational and advanced topics ensures readers can pace their learning according to their comfort and familiarity.




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