Statistics Using Python / / Oswald Campesato.

• Superior document: Title is part of eBook package: De Gruyter EBOOK PACKAGE Business and Economics 2023 English
• VerfasserIn: Campesato, Oswald,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Physical Description: 1 online resource
• Other title: Frontmatter --; Contents --; Preface --; Chapter 1: Working with Data --; Chapter 2: Introduction to Probability --; Chapter 3: Introduction to Statistics --; Chapter 4: Metrics in Statistics --; Chapter 5: Probability Distributions --; Chapter 6: Hypothesis Testing --; Appendix A: Introduction to Python --; Appendix B: Introduction to Pandas --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683928799; 9783111319070; 9783111319292; 9783111318912; 9783111318134; 9783111564340; 9783111574073; 9783111502496
• DOI: 10.1515/9781683928799
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Oswald Campesato.

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.