Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
[NJIT logo]

Data Science Resources: Books/Journals

Recent Book Acquisitions

Arabnia HR, Daimi K, Stahlbock R, et al. (2020). Principles of data science. Cham: Springer.

Batra U, Roy NR, & Panda B. (2020). Data science and analytics. Cham: Springer.

Berthold MR (2020). Guide to intelligent data science: how to intelligently make use of real data. Cham: Springer International Publishing.

Carter N. (2021). Data science for mathematicians. Boca Raton, FL: CRC Press.

Grus J. (2019). Data science from scratch: first principles with Python. Beijing: O'Reilly.

Inmon Wh, Linstedt D, & Levins M. (2019). Data architecture: a primer for the data scientist. 2nd edition. London: Elsevier Academic Press. (QA 76.9.D37 I56 2019).

Kotu V, & Balachandre D. (2019). Data science: concepts and practice. Cambridge, MA: Morgan Kaufmann. (QA 76.9.D343.K674 2019).

Larose CD, & Larose DT. (2019). Data science using Python and R. Hoboken, NJ: John Wiley & Sons. (QA 76.9.D343 L376 (2019).

Sakr S, & Zomaya AY. (2019). Encyclopedia of big data technologies. Cham: Springer.

Skiena SS. (2017). The data science design manual. Cham: Springer.


Search for other books.




Profile Photo
Joseph Mercuri
Van Houten Library
Central Avenue Building
Room 1040
(973) 596-8498

New Jersey Institute of Technology
University Heights, Newark, New Jersey 07102-1982
(973) 596-3206
Contact Us | Ask A Librarian |  Map & Directions | A to Z Site Index

Copyrighted 2020 | Robert W. Van Houten Library