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Data Science, Editorial
Best Data Science Books — Free and Paid — Editorial Recommendations for 2022
For the past year, we have looked at over 23,000 [1] data science books, and we have picked what we consider to be the best paid and free books in terms of technicality, ability to explain complex subjects, depth, and verified reviews.
Last updated January 1, 2022
Over the last decade, data science has become one of the most paid and highly reputed domains for professionals in the information technology field.
Nowadays, data science applications have become inevitable for most (if not all) businesses. Hence, there is a surge of proficient data science professionals.
Therefore, if you plan to move into this domain, you may find a wide variety of data-science-related books available online, which in turn, can be an arduous task to pick out the most notable books to get into data science.
This article aims to solve this conundrum by providing you with our editorial recommendations on the best and high-quality books for data science.
Disclosure: Our editorial team at Towards AI writes authentic and trustworthy reviews and may receive a small compensation on products we select to support Towards AI’s efforts. For this article, as an Amazon Associate, Towards AI may receive a small commission from qualifying purchases made from it (at no extra cost to the buyer). For feedback, questions, or concerns, please email us pub@towardsai.net.
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1. Practical Statistics for Data Scientists:
Author(s): Peter Bruce, Andrew Bruce, Peter Gedeck
