Grokking Statistics 9781633434769
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Sprache:Englisch
57,99 €
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
07.10.2026
Verlag
Manning PublicationsSeitenzahl
389
Gewicht
417 g
Sprache
Englisch
ISBN
978-1-63343-476-9
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
"An excellent, playful introduction to foundational statistical ideas and calculations."
—Matthew Housley, Co-author of Fundamentals of Data Engineering
Grokking Statistics makes the core ideas of statistics intuitive, practical, and surprisingly entertaining. Using relatable examples, illustrations, and clear explanations, Thomas Nield shows you how to reason about uncertainty, draw useful conclusions from data, and recognize when the numbers themselves may be misleading. You’ll learn to move beyond deterministic thinking and develop the skeptical, questioning mindset that good statistical analysis requires.
Starting with the relationship between samples and populations, you’ll build a practical understanding of probability distributions, the normal distribution, the central limit theorem, confidence intervals, hypothesis testing, and linear and logistic regression. Along the way, you’ll apply these ideas to examples ranging from manufacturing tolerances and business decisions to tornado data and toddler meltdowns. Python handles the calculations so you can concentrate on what the results mean and when you should trust them.
Just as importantly, Grokking Statistics teaches you to question data itself. You’ll learn to look for biased samples, questionable assumptions, misleading metrics, overfitting, p-hacking, and other ways statistical reasoning can go wrong. These are essential practical skills. They matter whether you’re evaluating a research finding, analyzing business data, building a software product, or assessing the performance of a machine learning model.
Clear Python examples explain the concepts throughout the book. Thomas’s practical, sometimes whimsical approach keeps the focus on understanding rather than memorizing formulas. Reviewer Mark J.
True to the promise of “grokking,” this book brings your understanding of statistics to a point deep enough to use confidently—and to know how to question conclusions drawn from data. You’ll come away ready to make smarter decisions under uncertainty, evaluate claims critically, and put statistical thinking to work wherever data is involved.
What's inside
• Quantify real-world uncertainty
• Evaluate classification models using precision and recall metrics
• Avoid devastating logical fallacies, data drift, and p-hacking
About the reader
This book is for software developers, data analysts, and tech-adjacent professionals who want to build a practical, intuitive, and confident understanding of statistics. Code examples use Python.
About the author
Thomas Nield is an instructor at the University of Southern California and the founder of Nield Consulting Group and Yawman Flight. He has over a decade of experience in aviation, logistics, and data science, specializing in translating complex mathematical concepts into practical, industry-standard solutions.
Table of Contents
1 Why you should care about statistics
2 Meet your data!
3 So you’re telling me there’s a chance!
4 The grand exhibit of normality
5 Sample size superpowers
6 Coincidence? I think not!
7 Number go up (or down)! Correlation and linear regression
8 Yes, no, or maybe so? Logistic regression and classification
9 Crimes against data: Statistics done wrong
10 The statistics career survival guide
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