Statistics Using Python

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 e...

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Bibliographic Details
Main Author: Campesato, Oswald
Format: eBook
Language:English
Published: Berlin Mercury Learning and Information 2024
Mercury Learning & Information
Mercury Learning
Edition:1
Subjects:
Computer games
Computer programming
COMPUTERS / General
COMPUTERS / Programming / General
Data mining
Data mining, mathematics, probability, statistics, desktop applications, spreadsheets, data science, programmers, statisticians
data science
desktop applications
General Engineering & Project Administration
General References
mathematics
MATHEMATICS / Probability & Statistics / General
probability
programmers
Programming
Python (Computer program language)
spreadsheets
statisticians
statistics
spreadsheets
Data mining, mathematics, probability, statistics, desktop applications, spreadsheets, data science, programmers, statisticians
data science
mathematics
probability
programmers
statisticians
Data mining
desktop applications
statistics
ISBN:9781683928805, 1683928806
Online Access:Get full text
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Description
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. FEATURESProvides Python code samples to ensure readers can immediately apply what they learnCovers everything from basic data handling to advanced statistical conceptsFeatures downloadable companion files with code samples and figuresIncludes two appendices, An Introduction to Python and an Introduction to Pandas as refresher material
ISBN:9781683928805
1683928806
DOI:10.1515/9781683928799