Douglas D. Schumann Library & Learning Commons: Data Science: Articles, Books, and Tutorials

Questions?

Contact a Librarian!

call: 617-989-4040

Contact a Librarian!

call: 617-989-4040

ACM Digital Library This link opens in a new window
Contains the full-text of every article published by the ACM (Association for Computing Machinery). Covering the fields of computing and information technology. Includes peer-reviewed sources.

Computers & Applied Sciences Complete This link opens in a new window
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A full-text article database covering computing, technology and engineering disciplines.
IEEE Xplore This link opens in a new window
Find journal articles, standards, and conference proceedings about electrical engineering, computer science, and electronics.
O’Reilly Learning Platform (Previously Safari) This link opens in a new window
Includes full text access to more than 35,000 book titles from industry-leading publishers such as Sam's, O'Reilly, Peachpit, and Que plus 30,000 hours of video, proven learning paths, case studies, interactive tutorials, audio books, and videos from O’Reilly's global conferences. Topics include Technology, Computer Science, Business, Software Development, Networking, Cyber Security, and Computer Engineering.
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ProQuest Computer Science (formerly ProQuest Computing) This link opens in a new window
Provides discipline-specific searching of all computing topics.
SpringerLink This link opens in a new window
Provides full-text access to millions of scholarly documents covering the arts, sciences, and social sciences.

arXiv.org This link opens in a new window
Free access to e-prints in the fields of physics, mathematics, computer science, quantitative biology, and quantitative finance and statistics

CODATA Data Science Journal
"It is a peer-reviewed, open-access, electronic journal...The scope of the journal includes descriptions of data systems; their implementations, applications, infrastructures, software, legal, reproducibility, and transparency issues; the availability and usability of complex datasets; and with a particular focus on the principles, policies, and practices for data preservation and reuse."
DOAJ: Directory of Open Access Journals
DOAJ is an online directory that indexes open-access journal articles. You can find full-text access to computer science open-access journals and related fields.
Harvard Data Science Review
"As an open access platform of the Harvard Data Science Initiative, Harvard Data Science Review (HDSR) features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability."

Academic Search Ultimate This link opens in a new window
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Offers scholarly journal articles in science and technology, the arts, medicine, education and more. Content covers nearly all academic disciplines. Includes peer−reviewed and full-text sources, as well as 75,000 videos from the Associated Press.
*This is an upgraded product, replacing Academic Search Complete. If you have any questions or would like a demo of this product, please contact the Library.*
Applied Science & Technology Full Text This link opens in a new window
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Find journal articles about engineering, physics, applied math, environmental science and more. Includes peer-reviewed sources and full-text.
Films On Demand This link opens in a new window
Offers a vast collection of streaming videos covering the arts, humanities, sciences, social sciences, and current events.
Gartner Core Research This link opens in a new window
Comprehensive collection of analysis and advice for the users and vendors of technology.
General OneFile This link opens in a new window
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A general interest periodical database that includes academic journals, popular magazines, news articles, images, and videos, covering a wide range of topics.
LinkedIn Learning This link opens in a new window
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Video tutorials on software, technology, and business skills
ProQuest Central This link opens in a new window
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Find journal articles and citations covering all academic subjects

TensorFlow
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