Best Python Data Science books for beginners to learn from scratch

Data Science, in recent years, becomes one of the most popular fields in programming. If you are a beginner and want to start learning what better way to start compared to reading a book to master data science concepts?

That’s why here I compiled the list of Best Python Data Science books. This list is geared toward beginners who just want to start their journey to becoming data scientists.

Best Books for Data Science for Beginners

Data Science is a broad field, but the good news is it’s one of the easiest to-start fields for beginners.

It requires having at least a basic understanding of either Python or R.

Both R and Python can be used for Data Science, however, considering the general-purpose use of Python, it is more popular.

There are many ways you can study data science.

For example, you can either join a course on sites like Udemy, or Coursera.

You can also start learning for free from YoutTube.

If you prefer text over visual media you can start with a book!

There are tons of books available on this topic, however, not all of them are good.

That’s why here, I am going to share with you a list of the Best Python data Science books for beginners.

Data Science from Scratch

Data Science from Scratch 2nd edition is published by O’Reilly who offers tons of other books for programmers.

This book will not only introduce but also teach you about the basic concept that you need before deep diving into your journey to data science projects.

Python Data Science Handbook

Consider Python Data Science Handbook: Essential Tools for Working with Data book as your quick reference guide or handbook to reference various essential Python data science topics.

If you are a beginner, you have to constantly look for various methods and techniques used to develop projects.

And this book will provide that.

Data Science Programming All-in-One for dummies

“For Dummies” become a synonym for books that is for beginners.

They provide extensive series of both instructional and reference books intended for newbies in almost any particular area.

And programming is no exception to that.

They published tons of books on Python programming for beginners.

For data science in Python, they published “Data Science for Dummies” and Data Science Programming All-in-One for dummies.

I recommend going with “Data Science programming All-in-one for dummies” since it’s not a single book but a collection of 6 books in one.

Introducing Data Science

Full name: Introducing Data Science: Big Data, Machine Learning, and More Using Python Tools will teach you vital data science concepts.

This book starts with Python data science basics and gradually work toward teaching you data visualization, and data analysis – which are a core concept in this area.

Essential Math for Data Science

Math is essential in the field of data science.

Of course, you can start in Python data science without math, but sooner or later you’ll have to learn math or at least have a basic understanding of it.

If you are to learn Math specifically for the field of Data management, data analytics, and visualization there is no better book than “Essential Math for data science”.

This book will without going into unnecessary details help you learn mathematical concepts such as the fundamentals of linear algebra, probability, and statistics.

If you are already good with Math you can use this book for revision, if you are new to math you can learn all of the essential math to start with data science.

Practical Statistics for Data Scientists

Statistics is an important part of Data Science.

During your journey to master Data Science, you will come across various t0pics that require you to have at least a basic understanding of Statistics.

PRACTICAL STATISTICS FOR DATA SCIENTISTS 2/ED covers 50+ essential concepts.

This book is not only helpful for those who are using Python but also for those who are going with “R”.

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