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Best Data Science Books: The Ultimate List

Looking for the best Data Science books? Browse our list to find excellent book recommendations on the subject.

Data Science from Scratch: First Principles with Python (2019)

 Best Data Science Books: The Ultimate ListTo really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them.
Author(s): Joel Grus

Python Data Science Handbook: Essential Tools for Working with Data (2016)

 Best Data Science Books: The Ultimate ListFor many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data.
Author(s): Jake VanderPlas

Data Science (MIT Press Essential Knowledge series) (2018)

 Best Data Science Books: The Ultimate ListThe goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance.
Author(s): John D. Kelleher, Brendan Tierney

Storytelling with Data: A Data Visualization Guide for Business Professionals (2015)

 Best Data Science Books: The Ultimate ListDon’t simply show your data—tell a story with it!  Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story.
Author(s): Nussbaumer Knaflic, Cole

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (2017)

 Best Data Science Books: The Ultimate ListLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
Author(s): Hadley Wickham, Garrett Grolemund

Practical Statistics for Data Scientists: 50 Essential Concepts (2017)

 Best Data Science Books: The Ultimate ListStatistical methods are a key part of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective.
Author(s): Peter Bruce, Andrew Bruce

Data Science for Beginners: This Book Includes – Machine Learning for Beginners + Analysis and Programming Code (2019)

 Best Data Science Books: The Ultimate List★★ Buy the Paperback Version of this Book on amazon.com and get the Kindle Book version for FREE ★★Have you ever wondered how speech recognition and search engines really work? Do you wish you could get a machine to do more of your tasks?
Author(s): Leonard Deep

Numsense! Data Science for the Layman: No Math Added (2017)

 Best Data Science Books: The Ultimate ListUsed as in top universities like and .Sold in and translated into .Want to get started on data science? Our promise: no math added.This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application.
Author(s): Annalyn Ng, Kenneth Soo

Heard In Data Science Interviews: Over 650 Most Commonly Asked Interview Questions & Answers (2018)

 Best Data Science Books: The Ultimate ListA collection of over 650 actual Data Scientist/Machine Learning Engineer job interview questions along with their full answers, references, and useful tips #63,538 in Books (See Top 100 in Books) #132 in Artificial Intelligence & Semantics Would you like to ?If you are a seller for this product, would you like to ?
Author(s): Kal Mishra

Best Data Science Books: The Ultimate List

We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some data science books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.

Tensors for data processing: theory, methods, and applications

Author(s): edited by Yipeng Liu.
ID: 3526711, Publisher: Elsevier Science & Technology,, Year: [2021]., Size: 18 Mb, Format: pdf

Data Science on the Google Cloud Platform, 2nd Edition

Author(s): Valliappa Lakshmanan
ID: 3125843, Publisher: O'Reilly Media, Inc., Year: 2023, Size: 4 Mb, Format: epub

Practical Data Privacy Solving Privacy and Security Problems in Your Data Science Workflow. Early Release

Author(s): Katharine Jarmul
ID: 3326983, Publisher: O'Reilly Media, Inc., Year: 2023, Size: 3 Mb, Format: epub

Please note that this booklist is not definite. Some books are absolutely record-breakers according to Washington Post, others are drafted by unknown writers. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant books you could recommend? Leave a comment if you have any feedback on the list.

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