
ColorWise A Data Storyteller's Guide to the Intentional Use of Color
Kate Strachnyi
Published 2022
165 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 2022.

Kate Strachnyi
Published 2022
165 pages

Marco Peixeiro
Published 2022
456 pages

Dzejla Medjedovic, Emin Tahirovic
Published 2022
304 pages

Jeremy Kubica
Published 2022
304 pages

Sourav Ghosh, Sebastien Donadio, Romain Rossier
Published 2022
320 pages

Gilit Saporta, Shoshana Maraney
Published 2022
691 pages

Viktor Mayer-Schönberger, Thomas Ramge
Published 2022
220 pages

Ivaylo Yorgov
Published 2022
136 pages

Tobias Zwingmann
Published 2022
575 pages

Jen Christiansen
2022 · 2023 edition
333 pages

Edward Raff
Published 2022
600 pages

Melanie Feinberg
Published 2022
336 pages

MrExcel's Holy Macro! Books, Wyn Hopkins
Published 2022
192 pages

Simon Asplen-Taylor
Published 2022
328 pages

Jordan Morrow
Published 2022
240 pages

Ekaterina Kochmar
Published 2022
456 pages

Nigel Holmes
2022 · 2023 edition
209 pages

Orrin Edenfield, Edward Corcoran
Published 2022
398 pages

Michael Müller, Gina Neff, Cecilia Aragon, Shion Guha, Marina Kogan
Published 2022
200 pages

Armon Dadgar, Luke Kysow, Mitchell Hashimoto
Published 2022
260 pages

David Ping
2022 · 2024 edition
602 pages

Yuli Vasiliev
Published 2022
240 pages

Stephan Raaijmakers
Published 2022
296 pages

Adi Widjaja
Published 2022
440 pages