The Data Science and Predictive Analytics (DSPA) course (offered as a massive open online course, MOOC, as well as a traditional University of Michigan class) aims to build computational abilities, inferential thinking, and practical skills for tackling core data scientific challenges. It explores foundational concepts in data management, processing, statistical computing, and dynamic visualization using modern programming tools and agile web-services. Concepts, ideas, and protocols are illustrated through examples of real observational, simulated and research-derived datasets. Some prior quantitative experience in programming, calculus, statistics, mathematical models, or linear algebra will be necessary.
|University of Michigan||UCLA||UC Berkeley|
|NYU||University of Oxford||UCSD|
|University of Cambridge||NUS||OCLC WorldCat Library|
|McGill University||University of Toronto||University of Wisconsin|
|Universiteit Gent||University of Haifa||BITS - Pilani, Hyderabad|
|Barnes & Noble||Amazon||Google Books|
|Library of Congress (US)||Princeton University||ETH|