Data Technologies for Data Scientists

Lecture, two hours. Requisites: courses 100B or Mathematics 170S, 101A, 101C or Mathematics 156. Limited to seniors. Introduction to variety of tools and technologies used in data science. Prepares students for applied project work. Topics include use of collaborative repository hosting services allowing access control; secure cloud services platforms that cover computing power and database storage; open source artificial intelligence libraries. Recommended to be taken prior to or concurrently with course M148. Letter grading.

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Course

Instructor
Michael Tsiang
Previously taught
23W 22W

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