
Statistics Using Python
Oswald Campesato(Author)
Mercury Learning & Information (Publisher)
1st Edition
Will be published approx. on 27. December 2023
Book
Paperback/Softback
274 pages
978-1-68392-880-5 (ISBN)
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 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.
More details
Edition
1. Auflage
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
Product notice
Klappenbroschur
Dimensions
Height: 229 mm
Width: 178 mm
Thickness: 15 mm
Weight
470 gr
ISBN-13
978-1-68392-880-5 (9781683928805)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Oswald Campesato
Statistics for Data Scient PB
E-Book
04/2024
1st Edition
Mercury Learning & Information
€67.49
Available for download

Oswald Campesato
Statistics Using Python
E-Book
12/2023
1st Edition
Mercury Learning and Information
from
€54.95
Available for download
Person
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).