Data Science Books (Free Download in PDF)

Select Year of Published:

Mathematics for Data Science: Linear Algebra with Matlab

by César Pérez López

The book teaches essential linear algebra techniques for data science with clear MATLAB-based examples and applications.

Print length: 390 pages

Published: 2025

ISBN: - (ISBN10: -)

From Concepts to Code: Introduction to Data Science

by Adam P. Tashman

It is a beginner-friendly introduction to data science, covering key concepts, algorithms, and hands-on coding techniques for real-world data analysis.

Print length: 386 pages

Published: May 6, 2024

ISBN: 978-1032517957 (ISBN10: 1032517956)

R for Data Science

by Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund

It is a complete guide to using R for data analysis, visualization, and predictive modeling with practical examples.

Print length: 576 pages

Published: July 18, 2023

ISBN: 978-1492097402 (ISBN10: 1492097403)

Foundations of Data Science with Python

by John M. Shea

The book provides a comprehensive introduction to data science using Python, focusing on key concepts, tools, and practical applications for data analysis.

Print length: 502 pages

Published: February 22, 2024

ISBN: 978-1032350424 (ISBN10: 1032350423)

Advanced Data Analytics Using Python

by Sayan Mukhopadhyay, Pratip Samanta

The book provides a comprehensive guide to leveraging Python’s advanced libraries and tools for efficient data analysis, modeling, and visualization.

Print length: 268 pages

Published: November 26, 2022

ISBN: 978-1484280041 (ISBN10: 1484280040)

Practical Linear Algebra for Data Science

by Mike X Cohen

This book provides a clear and practical guide to understanding and using linear algebra techniques for data science, with real-world applications and examples.

Print length: 505 pages

Published: September 6, 2022

ISBN: 978-1098120610 (ISBN10: 1098120612)

Scaling Python with Dask: From Data Science to Machine Learning

by Holden Karau, Mika Kimmins

Learn to parallelize computations, manage large datasets, and scale machine learning models effortlessly.

Print length: 223 pages

Published: August 22, 2023

ISBN: 978-1098119874 (ISBN10: 1098119878)

Python Data Science Handbook

by Jake VanderPlas

Explore machine learning algorithms and statistical techniques in this comprehensive guide.

Print length: 588 pages

Published: January 17, 2023

ISBN: 978-1098121228 (ISBN10: 1098121228)

SQL for Data Science

by Antonio Badia

It is an essential guide that teaches you how to leverage SQL for data analysis, covering key techniques for querying, managing, and extracting meaningful insights from data.

Print length: 300 pages

Published: November 10, 2020

ISBN: 978-3030575915 (ISBN10: 3030575918)

Graph Algorithms for Data Science

by Tomaž Brataniz

The book offers an in-depth exploration of graph algorithms, providing practical techniques for analyzing and interpreting complex data networks effectively.

Print length: 352 pages

Published: March 12, 2024

ISBN: 978-1617299469 (ISBN10: 1617299464)

Page 1 of 2
Data Science is considered an interdisciplinary field that combines methods from statistics, computer science, and machine learning to extract knowledge and insights from data. It involves collecting, processing, and analyzing large volumes of data, as well as creating models that help predict and optimize processes. Advancing in this field requires deep knowledge and practical skills, which can be acquired from specialized literature.

What is a Data Science Book?

Studying Data Science requires extensive knowledge in various areas such as statistics, programming, machine learning, and data visualization. Best Data Science books cover a wide range of topics, from basics to advanced techniques and tools. You will gain an understanding of data analysis methods used in real projects and learn how to apply them in practice. An important aspect is understanding machine learning algorithms, which allow for the creation of predictive models. Additionally, books will help you master programming languages such as Python and R, which are widely used in this field. Studying Data Science will open up new career opportunities for you and enable you to make data-driven decisions.

How to Choose Books for Studying Data Science?

Choosing the right literature on Data Science plays a key role in your education and professional development. It's important to select books that match your level of preparation and needs. Pay attention to:
  • Author's Authority: Study books written by recognized experts in the field of Data Science. Their experience and knowledge will help you better understand complex concepts.
  • Content and Structure: Choose editions with well-structured content that covers all necessary aspects of Data Science, from beginner to advanced levels.
  • Relevance of Material: Ensure that the guide contains up-to-date information and reflects the latest trends and technologies in the industry. Data Science evolves quickly, so it's important that the information is current.
  • Practical Focus: Look for books with practical examples and exercises. This will allow you to apply theoretical knowledge in practice and better retain the material.
We invite you to explore our catalog of recommended Data Science books, where you will find many useful and relevant editions to help you on your journey to mastering this dynamic and in-demand discipline. Download the best Data Science books in PDF now and start your journey to success in data science!