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Statistics Using Python / Oswald Campesato.

By: Material type: TextTextPublisher: Dulles, VA : Mercury Learning and Information, [2023]Copyright date: 2023Description: 1 online resourceContent type:
Media type:
Carrier type:
ISBN:
  • 9781683928805
  • 9781683928782
  • 9781683928799
Subject(s): Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
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
Summary: 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.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781683928799

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 online access with authorization star

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Aug 2024)