
HBR Guide to Generative AI for Managers
Elisa Farri, Gabriele Rosani
Published 2025
288 pages
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.

Elisa Farri, Gabriele Rosani
Published 2025
288 pages

Marily Nika
Published 2025
227 pages

Trey Grainger, Doug Turnbull, Max Irwin
Published 2025
520 pages

Keita Broadwater, Namid Stillman
Published 2025
392 pages

Valerii Babushkin, Arseny Kravchenko
Published 2025
376 pages

Rob Reider, Alex Michalka
Published 2025
336 pages

Dany Cajas
Published 2025
503 pages

Published 2025
460 pages

Florent Poux
Published 2025
687 pages

Robert Osazuwa Ness
Published 2025
520 pages

Ali Parandeh
Published 2025
528 pages

Toju Duke, Paolo Giudici
Published 2025
212 pages

Temitope Emmanuel Komolafe, Patrice Monkam, Blessing Funmi Komolafe, Nizhuan Wang
Published 2025
329 pages

Nadieh Bremer
Published 2025
300 pages

Prashant Srivastava, Rajesh Kumar Mall, Biswajeet Pradhan, Manish K. Pandey
Published 2025
350 pages

Hailong Huang, Chao Huang, Yiying Zhang
Published 2025
242 pages

Seifedine Kadry, Balasubramaniam S, Manojkumar Tk, K. Satheesh Kumar, T. K. Manoj Kumar, Manoj Kumar T. K. (Professor of digital sciences), Manoj Kumar TK
Published 2025
250 pages

Pethuru Raj, Pushan Kumar Dutta, Houbing Herbert Song, Peter Han Joo Chong, Dmitry A. Zaitsev
Published 2025
314 pages

Victor Parada
Published 2025
248 pages

Rashmi Gupta, Lalit Mohan Goyal, Xiomara Patricia Blanco Valencia, Jeetendra Kumar
Published 2025
280 pages

David Asboth
Published 2025
472 pages

Fang Chen, Yang Wang, Zhidong Li, Bin Liang, Hongda Tian, Ting Guo
Published 2025
184 pages

Michal Sourek
Published 2025
128 pages

Jeroen Janssens, Thijs Nieuwdorp
Published 2025
501 pages