Top Data Science Books from 2024 You Need to Read Now

Data Science for Decision Makers: Using Analytics and Case Studies

by Erik Herman

Make smarter business decisions using real-world analytics and data-driven strategies.

Print length: 286 pages

Published: December 10, 2024

ISBN: 978-1501520648 (ISBN10: -)

Software Engineering for Data Scientists

by Catherine Nelson

Bridge the gap between data science code and scalable, maintainable software engineering practices.

Print length: 257 pages

Published: May 21, 2024

ISBN: 978-1098136208 (ISBN10: 1098136209)

Linear Algebra in Data Science

by Peter Zizler, Roberta La Haye

It explains core mathematical concepts essential for understanding machine learning and data analysis with intuitive, example-driven content.

Print length: 208 pages

Published: May 15, 2024

ISBN: 978-3031549076 (ISBN10: 3031549074)

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)

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)

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)