Statistics Using Python /
Campesato, Oswald
Statistics Using Python / Oswald Campesato. - 1 online resource
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
restricted access http://purl.org/coar/access_right/c_16ec
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.
Mode of access: Internet via World Wide Web.
In English.
9781683928805 9781683928782 9781683928799
10.1515/9781683928799 doi
Python (Computer program language)--Statistical methods.
MATHEMATICS / Probability & Statistics / General.
Data mining, mathematics, probability, statistics, desktop applications, spreadsheets, data science, programmers, statisticians.
Statistics Using Python / Oswald Campesato. - 1 online resource
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
restricted access http://purl.org/coar/access_right/c_16ec
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.
Mode of access: Internet via World Wide Web.
In English.
9781683928805 9781683928782 9781683928799
10.1515/9781683928799 doi
Python (Computer program language)--Statistical methods.
MATHEMATICS / Probability & Statistics / General.
Data mining, mathematics, probability, statistics, desktop applications, spreadsheets, data science, programmers, statisticians.