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 2021.
Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano
Published 2021
831 pages
Wen Hua, Hua Wang, Li Lei
Published 2021
221 pages
Chengqing Zong, Rui Xia, Jiajun Zhang
Published 2021
351 pages
Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Chia-Hui Chang, Jianliang Xu
Published 2021
446 pages
Eyitayo Koleoso
Published 2021
214 pages
Jeff M. Phillips
Published 2021
287 pages
Francesco Cafaro, Jessica Roberts
2021 · 2022 edition
127 pages
Marta Chinnici, Florin Pop, Catalin Negru
Published 2021
304 pages
Mounir Kehal, Zuopeng Zhang
2021 · 2023 edition
182 pages
Jacqueline Schmittem
Published 2021
102 pages
Uwe H. Kaufmann, Amy B. C. Tan
Published 2021
368 pages
David C. Roberts
2021 · 2023 edition
260 pages
Larry Burns
Published 2021
298 pages
Rising Odegua, Stephen Oni
Published 2021
476 pages
Meghna Chhabra, Rohail Hassan, Amjad Shamim
Published 2021
286 pages
Michael Moesgaard Andersen, Torben Pedersen
Published 2021
Filip Johnssén, Sofia Edvardsen, John Potts
Published 2021
322 pages
Hamid R. Arabnia, Leonidas Deligiannidis, Hayaru Shouno, Fernando G. Tinetti, Quoc-Nam Tran
2021 · 2022 edition
915 pages
Jeng-Shyang Pan, Valentina Emilia Balas, Chien-Ming Chen
2021 · 2022 edition
Brahmanand Shukla
Published 2021
440 pages
Rupa Mahanti
Published 2021
195 pages
Everisto Benyera
Published 2021
212 pages
Muhammad Turki Alshurideh, Aboul Ella Hassanien, Ra'ed Masa'deh
Published 2021
413 pages
Carlos Narciso Bouza Herrera
Published 2021
276 pages