Are you looking for Best Statistics Books for Data Science?. If yes, then your search will end here. In this article, I have listed the 4 Best Statistics Books for Data Science. So read the full article and find out the best book for you. I will also guide you to choose the best book for you.
As a Data Scientist or Analyst, you have to find useful insights from the data, that’s why statistics knowledge is crucial for you.
But when it comes to learning statistics, books are very important, because books provide a solid understanding of the concepts. So without any further ado, let’s start finding the Best Books to Learn Statistics for Data Science for you.
1. Practical Statistics for Data Scientists
Author- Peter Bruce, Andrew Bruce
About Book-
This book is good for you if you are familiar with the R or Python programming languages and have some prior experience in statistics. In this book, you will learn how random sampling can reduce bias and yield a higher-quality dataset, even with big data, how to use regression to estimate outcomes and detect anomalies, etc.
But this single book is not enough to understand the deeper concepts of statistics. You will need other statistics resources to dig deeper. The best thing about this book is that code is available both for R and Python.
Where to Buy this Book-
You can buy it on amazon- Practical Statistics for Data Scientists
2. Naked Statistics
Author- Charles Wheelan
About Book-
This is one of the best and interesting books to learn statistics. This book is easy to read, unlike other books. You will engage throughout the book with humor and real-life examples of how statistics apply to the world we live in today.
In this book, you will learn the key concepts of statistics such as inference, correlation, and regression analysis, etc. The author of this book Wheelan includes many everyday life examples of how statistics is enlightening and infuriating.
This book is suitable for everyone, whether you are a beginner or intermediate. This book will clear your statistics concepts.
Where to Buy this Book-
You can buy it on amazon- Naked Statistics
3. Head First Statistics
Author- Dawn Griffiths
About Book-
This is another interesting and storytelling-style book. In this book, you will learn descriptive statistics: such as mean, mode, median, standard deviation, etc, probability distributions: such as Binomial, Poisson, Normal, and inferential statistics: correlation, regression, null hypothesis testing, etc.
The best thing about this book is that the author explains each topic clearly. And this book will not bore you, unlike other books. You will understand statistics with the help of real-life examples of how to use statistics in the real world.
This book is good if you are a beginner in statistics and looking for a book that makes your statistics learning much easier.
Where to Buy this Book-
You can buy it on amazon- Head First Statistics
4. An Introduction to Statistical Learning
Author- Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
About Book-
This book will explain statistics concepts practically. This book is written for those people who don’t have programming and statistical knowledge. Even if you are an experienced person, you can refer to this book to brush up on your knowledge.
This book presents some of the most important modeling and prediction techniques along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more.
Where to Buy this Book-
You can buy it on amazon- An Introduction to Statistical Learning
Conclusion
In this article, you discovered the 4 Best Statistics Books for Data Science. Have you Bought or Read anyone of these Books?. If yes then tell your experience in the comment section.
I hope these 4 Best Statistics Books for Data Science will help you to begin your Learning Journey.
All the Best!
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