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![[NJIT logo]](https://libapps.njit.edu/vanhouten/images/njit-red-logo-400x70-RG.png){kind=logo}
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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.
| Title | Coverage |
| ACM Transactions on Intelligent Systems and Technology | 2010- |
| ACM Transactions on Knowledge Discovery from Data | 2007- |
| Advances in Data Analysis and Classification | 2007- |
| Annals of Data Science | 2014- |
| Big Data Analytics | 2016- |
| Computational Statistics & Data Analysis | 1995- |
| Data Mining and Knowledge Discovery | 1997- |
| Data Science Journal | 2002- |
| IEEE Transactions on Knowledge and Data Engineering | 1989- |
| Information Processing Letters | 1995- |
| Intelligent Data Analysis | 2000- (one year embargo) |
| IUP Journal of Knowledge Management | 2009- |
| Journal of Data Science | 2012- |
| Knowledge and Information Systems | 1999- |
| Social Network Analysis and Mining | 2011- |
| VLDB Journal | 1992- |
A listing of all library journals can be found at Journals
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