Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

This book delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessa...

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Bibliographic Details
Main Author: Denis, Daniel J
Format: eBook
Language:English
Published: Newark John Wiley & Sons 2021
John Wiley & Sons, Incorporated
Wiley-Blackwell
Edition:1
Subjects:
General Engineering & Project Administration
General References
Multivariate analysis
Python (Computer program language)
Statistics
Statistics-Software
ISBN:9781119578147, 1119578140
Online Access:Get full text
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Summary:This book delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. This book represents the fastest way to learn how to analyze data with Python.
ISBN:9781119578147
1119578140
DOI:10.1002/9781119578208