Top Data Science Books from 2024 You Need to Read Now

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)