Best Books for Data Science Beginners

Data science is one of the most advancing fields of technology in the 21st century. According to the new trend more and more companies are recruiting data science specialists, for their companies. Hence there is a huge demand for data scientists nowadays. An increasing surge for data scientists facilitates the need for skilled data scientists. If you are trying to build a career in data science or if you are seeking a career switch to the data science industry this article may help you. 

In this article, we will be discussing the Best books for data science beginners. This article will be apt for data science beginners. Stay tuned with us and read the article till the end to know about the best books for data science beginners.

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Best Books for Data Science Beginners – A well-curated list

Given below is a list of the best book for data science beginners that will help you learn the subject better. We are also providing a brief description regarding all the picks so that you can pick depending in your convenience. 

Introduction to probability – Joseph K Blitzstein and Jessica Hwang

This is indeed a great pick for all those beginners who are starting to learn data science. The book is just a great pick since they depict concepts with the help of real-life examples. This book is written upon the basic probability we have all learned in our schools. Also, the book will help build a strong base on data science by covering all the core concepts. 

Practical statistics for data scientists – Peter Bruce and Andrew Bruce

The language that is used in books is very basic and simple. Hence making it a great pick for absolute beginners. Book also covers a numerous topic that is of great importance in the data science prospect. Candidates will be able to learn a lot regarding statistics in data science. Some of the important topics covered in the book include sampling, distribution, randomization, etc.

Introduction to machine learning with python – Andreas C Muller and Sarah Guido

Since machine learning and data science are correlated to a certain extent, this book will teach you the basics of machine learning. This book can also help you built machine learning models all by yourself. Candidates can also learn python using the book. This book also helps you learn python even without any prior knowledge. Summing up the book will help you learn the basics of machine learning and python.

Python for data analysis

Python is the widely used programing language for data analytics. And data analytics is very crucial for data science. Via this book, absolute beginners can learn the data analytics concepts using python. The book is structured amazingly and also can help you apply the concepts within almost a week. This book is a beautiful recommendation for beginners in the field of data science.

Now that we have seen beginner-level books to learn data science we would also like to give you a sight to intermediate-level books to learn data science.

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Intermediate level books to study Data Science

R for data science – Hadley Wickham and Garret Grolemund

R is a well-liked and approved programing language used for data science applications. After working with python for implementing data science applications candidates can start using R as well. This book will help candidates learn coding in R. 

Python data science handbook – Jake Wanderplas

If you have brushed up your basics in python already the book can be great for you. This book is a great guide for acquiring knowledge regarding python libraries like matplotlib, NumPy, scikit-learn, pandas, etc.

Understanding machine learning – Shalev-Shwartz and Shai Ben – David

The book can help you learn machine learning concepts and algorithms. Also, the book can help implementation of machine learning algorithms by yourself. Covers the theory behind algorithms extensively.

We will also like to provide you with the list of advanced level data science books in case it would excite you, they include

• Deep learning – Lan Goodfellow, Youshua Bengio, and Aaron Courville
• Mining of massive datasets – Jure Leskovec, Anand Rajaraman, Jeff Ullman

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Various other important books that can help you learn data science include

• Elements of statistical learning – Trevor Hastie, Robert Tibshirani, Jerome Friedman
• The art of statistics – David Spiegelhalter
• Data science for beginners – Andrew Park
• Data science for business – Foster Provost and Tom Fawcett
• Build a career in data science – Emily Robinson and Jacqueline Nolis
• Clean code – Robert C Martin
• Art of data science – Roger D Peng and Elizabeth Matsui
• Deep learning with python – Francois Chollet

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We hope this article on Best books for data science beginners was indeed useful. Also, we are sure that these book recommendations will help you learn data science very well. For more such articles regarding data science, machine learning, etc subscribe to entri.