
The Value of People Analytics Using HR Data to Drive Business Results
David Green, Jonathan Ferrar
Published 2026
304 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 2026.

David Green, Jonathan Ferrar
Published 2026
304 pages

Eriona Cela, Narasimha Rao Vajjhala, Rajasekhara Mouly Potluri, Philip Eappen
Published 2026
400 pages

Jordan Morrow
Published 2026
264 pages

Susan Walsh
Published 2026
240 pages

David Langer
Published 2026
352 pages

Ryan Muetzel, Tonya White
Published 2026
350 pages

Ijeoma Onwumere
Published 2026
336 pages

Nishu Gupta, Sumita Mishra, Polat Goktas
Published 2026
400 pages

Biswajeet Pradhan, Subhas Mukhopadhyay, Shilpa Bade-Gite
Published 2026
594 pages

Paul Lee, Mark Esposito, Danny Goh, Terence C. M. Tse
Published 2026
208 pages

Abhishek Kumar, Jyotirmoy Pathak, Jyoti Kandpal
Published 2026
256 pages

Shashi Chiplonkar, Jayashree S. Date
Published 2026
250 pages

Lakhmi C. Jain, Robert J. Howlett, Ireneusz Czarnowski
Published 2026
500 pages

Nasir Salari
Published 2026
368 pages

Shaon Talukder
Published 2026
264 pages

Mark Prell
Published 2026
384 pages

Paul A. Bilokon
Published 2026
300 pages

Viswanathan Arunachalam
Published 2026
250 pages

Fatos Xhafa
Published 2026
1500 pages

Carl Kingsford
Published 2026
392 pages

Marco Peixeiro
Published 2026
270 pages

Alexander W. Koch
Published 2026
200 pages

Alexei Sisulu Abrahams
Published 2026
304 pages

Dan Myers
Published 2026
320 pages