BLGM's mission is to promote a love of books and reading to all by offering advice and information needed to help our visitors to find their next favorite book. We regularly create and post so-called listicles (also known as booklists) on various mostly tech-related topics.

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.

1. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)

 Best Data Science Books: The Ultimate ListWritten by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn…
Author(s): Foster Provost, Tom Fawcett

2. 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. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get…
Author(s): Joel Grus

3. 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. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and…
Author(s): Jake VanderPlas

4. 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. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the…
Author(s): John D. Kelleher, Brendan Tierney

5. 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. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.  Storytelling is not an inherent skill, especially when it comes to data visualization, and…
Author(s): Nussbaumer Knaflic, Cole

6. 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. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a…
Author(s): Hadley Wickham, Garrett Grolemund

7. 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. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference…
Author(s): Peter Bruce, Andrew Bruce

8. Data Science for Beginners: This Book Includes – Machine Learning for Beginners + Python Machine Learning for Beginners – Big Data Analytics, Data Science, Data Analysis and Programming Code (2019)

 Best Data Science Books: The Ultimate List★★ Buy the Paperback Version of this Book on 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? Even if you are brand new to programming, you can learn how to use Python and Machine Learning to make your life easier or develop a satisfying career in a growth industry.You probably use Machine Learning countless times daily. Your search engine or a chess app, the GPS that gives you turn-by-turn driving…
Author(s): Leonard Deep

9. 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. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly.Popular concepts covered include: Features: With this book, we hope to give you a practical understanding of…
Author(s): Annalyn Ng, Kenneth Soo

10. 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 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.

Advances in Data Science: Methodologies and Applications

Author(s): Gloria Phillips-Wren; Anna Esposito; Lakhmi C. Jain
ID: 2621153, Publisher: Springer Internationa, Year: 2021, Size: 51 Mb, Format: epub

Big Data Meets Survey Science: A Collection of Innovative Methods

Author(s): Craig A. Hill (editor), Paul P. Biemer (editor), Trent D. Buskirk (editor), Lilli Japec (editor), Antje Kirchner (editor), Stas Kolenikov (editor), Lars E. Lyberg (editor)
ID: 2669464, Publisher: Wiley, Year: 2021, Size: 8 Mb, Format: pdf

Algorithmic Governance And Governance Of Algorithms: Legal And Ethical Challenges

Author(s): Martin Ebers, Marta Cantero Gamito
ID: 2784007, Publisher: Springer, Year: 2021, Size: 3 Mb, Format: pdf

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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