
Shifting the Balance How Top Organizations Beat the Competition by Combining Intuition with Data
Mark Schrutt
Published 2021
256 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 2021.

Mark Schrutt
Published 2021
256 pages

Magnus Ekman
Published 2021
752 pages

Ben Auffarth
Published 2021
370 pages

Sudharsan Ravichandiran
Published 2021
352 pages

Alberto Artasanchez
Published 2021
454 pages

Emmanuel Raj
Published 2021
370 pages

Savaş Yıldırım, Meysam Asgari-Chenaghlu
Published 2021
374 pages

Jike Chong, Yue Cathy Chang
Published 2021
512 pages

Gareth Eagar
Published 2021
482 pages

Noah Giansiracusa
Published 2021
235 pages

Diana Seave Greenwald
Published 2021
256 pages

Niall Richard Murphy, Kranti Parisa, Cathy Chen, D. Sculley, Todd Underwood
2021 · 2022 edition
376 pages

Max Schultze, Arif Wider
Published 2021
58 pages

Papa Joe
Published 2021
384 pages

Serg Masís
Published 2021
736 pages

Somanath Nanda, Weslley Moura
Published 2021
338 pages

Duygu Altinok
2021 · 2025 edition
238 pages

Michael Friendly, Howard Wainer
Published 2021
288 pages

Ankur A. Patel, Ajay Uppili Arasanipalai
Published 2021
592 pages

Laurent Bernut, Michael Covel
Published 2021
376 pages

Johanna Drucker, Francesca Albrezzi
Published 2021
238 pages

Manoj Kukreja
Published 2021
480 pages

George Heineman
Published 2021
280 pages

Phil Harvey, Noelia Jiménez Martínez
Published 2021
221 pages