The most popular data science books of 2025

Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2025.

Results

Data Engineering for Data-Driven Marketing
Cover of Data Engineering for Data-Driven Marketing

Data Engineering for Data-Driven Marketing

Veena Grover, Nallakaruppan M.K., Mariofanna Milanova, Balamurugan Baluswamy, Vijay Anand Rajasekaran

Published 2025

258 pages

China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs International Joint Conference, CCKS-IJCKG 2024, Chongqing, China, September 20–22, 2024, Proceedings
Cover of China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs International Joint Conference, CCKS-IJCKG 2024, Chongqing, China, September 20–22, 2024, Proceedings

China Conference on Knowledge Graph and Semantic Computing and International Joint Conference on Knowledge Graphs International Joint Conference, CCKS-IJCKG 2024, Chongqing, China, September 20–22, 2024, Proceedings

Bin Xu, Bing Qin, Yannis Tzitzikas, Zhichun Wang, Xian-Ling Mao

Published 2025

507 pages