Hello everyone, in this post I am going to share **Best statistics book for data science** with you. Statistics plays major role in data science. So if you feel like statistics is a dry subject then here are some best statistics books that will help you in your data science journey.

These books are for both data science beginners as well as advanced learners. In data science, we don’t have to learn only computing, we must have knowledge of programming, mathematics, statistics, probability and many more. So learning data science from books is a good way to enhance your data science skills. That’s why I have listed here some **Best statistics books for data science beginners and advanced, **so that you can sharpen your statistics skills to grow in data science. I hope you will find these books helpful.

So let’s gets started.

Contents

**5 Best Statistics Book For Data Science**

**1. Think Stats**

If you use python programming for data science then this book is very good for you. This book is ideally written for python programmers. Alien B Downey is the author of this book.

Each chapter of this books contains practical code examples to learn statistical and probability concepts. The best thing of this book is that it covers concepts directly related to data science.

This books included popular case studies to understand real life influence of statistics.

**Statistical thinking, Distribution, Hypothesis testing, Correlation** are some main topics which are covered deeply in this book.

So the **final words** about this book is that it is best suitable for those beginner data science programmers who have prior knowledge of basic python.

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**2. Head First Statistics**

Like many other head first programming books, Head First Statistics is also a fantastic book to learn statistics for data science. **Dawn Griffiths** is a well known author who has about twenty years experience in IT field and written many popular books.

So if you want to learn basics of statistics in deeply, this book is good for you. The best thing about this book is that the author explained every topic with the help of real-world examples so that you can easily understand these concepts.

This books covers a lot of topics of statistics such as –

**Inferential statistics**like correlation, hypothesis testing, etc.,**Descriptive statistics**such as mean, median, mode.**Probability**like Poisson distribution, binomial distribution, normal distribution and many more.

So if statistics is dry subject for you then you should definitely go for this outstanding statistic book because it has lots of pictures, because our brain is tuned for visuals, not text. As far as our brain’s concerned, a picture really is worth a thousand words. That’s why this book is descripted as **A Brain-Friendly Guide.**

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**3. Practical Statistics for Data Scientists**

This book is ideal for absolute beginners. This book covers the data science concepts from scratch. If you have prior knowledge of python or R programming language then this book is really helpful for you because the example codes are written in both python and R.

**Peter Bruce**(founder of The Institute for statistics education) and **Andrew Bruce**(more than 30 years of experience in the field of statistics and data science) are author of this book.

If we talk about its data science topics coverage then you will get following topics with great explanation and example codes –

*Regression and prediction*- Data structures
- Statistical experiments
- Descriptive statistics
- Statistical Machine learning methods etc.,

So if you are a beginner and want to master data science then this book is recommended. This is a quick and easy reference book but this book is not suitable for you if you are looking for in-depth explanation of data science concepts because this book has no detailed explanations and examples. This will just give you a good overview of all the concepts that you need to learn in data science and we can say that this is the best statistics books for data science beginners.

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**4. An Introduction to Statistical Learning**

This is highly recommendable book for those who wants to learn statistics for data science. This book cover not only statistics but also cover deep learning concepts.

Algorithms and codes are illustrated in R language so this book is good for R programmers. **Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshira** are the author of this book.

This book cover following topics –

- linear regression
- classification
- support vector machines
- shrinkage approaches
- resampling methods
- tree-based methods
- clustering

This book explains all the concepts of statistics with real world examples. So if you are a R user and searching for a good statistic book for data science then you can read and learn from this book.

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**5. Naked Statistics**

Naked statistics is an outstanding statistic book for data science. This book has well explanation of basic statistical concepts in plain English with examples and case studies.

Naked Statistics covers following topics –

- inference
- regression
- correlation
- practical examples etc.,

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So guys I am wrapping list of Best statistics book for data science here. Apart from these books there are also a lots of books are available for data science statistics. I hope this post will helped you to find some good statistics books for data science. If you found this post beneficial then don’t forget to share it your friends who need a good book for data science. THANKS

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