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Statistical Analysis with Python For Dummies (For Dummies (Computer/Tech))
Author(s): Joseph Schmuller (Author)
- Publisher: For Dummies
- Publication Date: December 30, 2025
- Edition: 1st
- Language: English
- Print length: 416 pages
- ISBN-10: 1394370326
- ISBN-13: 9781394370320
Book Description
Wrangle stats as you learn how to graph, analyze, and interpret data with Python
Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you're new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You'll learn to set up a coding environment and use Python's libraries and functions to mine data for correlations and test hypotheses. You'll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data.
- Get clear explanations of the basics of statistics and data analysis
- Learn how to summarize and analyze data with Python, step by step
- Improve business decisions with objective evidence and analysis
- Explore hypothesis testing, regression analysis, and prediction techniques
This is the perfect introduction to Python for students, professionals, and the stat-curious.
From the Back Cover
Squeeze meaning out of numbers with Python
When analysts need to dig into data and come out with fresh findings, they choose the Python programming language. With Statistical Analysis with Python® For Dummies, you can join their ranks. Learn the libraries, functions, and other secrets that help mine data―even if you’re brand new to coding. You’ll follow clear instructions to review data, test hypotheses, and explain your results. You can even download the code examples featured in the book to help you get started. Part statistics class, part coding guide, this book is ideal for those tasked with squeezing insight from data.
Inside…
- Demystify statistical concepts
- Summarize a data set
- Create useful visualizations
- Explore data trends
- Compare population groups
- Understand probability
- Adopt modeling best practices
About the Author
Joseph Schmuller is a cognitive scientist and statistical analyst who creates online learning tools as well as books. He is the author of all five editions of Statistical Analysis with Excel For Dummies, both editions of Statistical Analysis with R For Dummies, and R All-in-One For Dummies, among others.
