The Top 3 Best Statistic Books For Data Science

We have no questions that you absolutely need a good knowledge about statistics to be good at data science. Even though there are some new Data Scientists who don’t agree with us, we stand up with what we believe.

The truth is that while stats have been mostly used to test the different hypothesis, the reality is that stats are also being used to formulate new hypothesis.

Here you can find all the stat tables you need.

So, the best place to gather a good knowledge about this is by reading the best statistics book for data science.

The truth is that we tried hard to be able to tell you about only the best statistics book for data science. However, we couldn’t limit our choice to just one. So, we are about to show you the 3 best statistics books for data science:

#1: Statistics Done Wrong: The Woefully Complete Guide by Alex Reinhart

One of the things that you may not be aware of if that statistical analysis is not a simple thing to do. In fact, there are scientists that aren’t doing it the right way.

So, within the Statistics Done Wrong: The Woefully Complete Guide, you are going to be able to see those omissions and errors in some of the most recent research as well as you will discover some of the misconceptions that may lead you in the wrong direction. This way, you’ll know exactly what to watch out for and prevent these same errors from happening to you. 

Alex Reinhart, the author of the book, will also tell you more about the analytical software that can help you.

Discover the basic statistics formulas that you need to understand.

#2: Naked Statistics: Stripping the Dread from the Data by Charles Wheelan

While many people still consider statistics boring, the truth is that its application is growing every day. Just think about how you can possibly answer the following questions:

• Why is there a recent rising in autism?
• How does Netflix evaluates which movies you are likely to like more?
• How can we prevent schools from cheating on standardized tests?

The answer to all these questions is based on statistics and you’ll see how you can use the different statistical tools to do it within the Naked Statistics: Stripping the Dread from the Data by Charles Wheelan.

From the clarification of key concepts such as regression analysis, correlation, and inference, you will also learn how the best researchers are using valuable data to try to answer complicated questions.

Discover the top sources of data in statistics. 

#3: Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce and Andrew Bruce

Where you are interested in getting a deeper look at data science, the Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce and Andrew Bruce is one of the best statistics books that can help you.

The truth is that even though there are many books related to statistics, there are only a few that cover its application to data science. So, this book is a can be a real asset.

The Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce and Andrew Bruce is a practical guide that will show you about what is important and what is not, will teach you about how to apply the different statistical methods to data science, among many more.