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MIT MIT-OCW

The Analytics Edge

LEVEL: ADVANCED · LICENSE: CC BY-NC-SA 4.0 · STATUS: [ FREE ]
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MIT Sloan School of Management's course on how quantitative methods give companies a competitive edge. Real-world case studies show data mining, dynamic optimization, and simulation applied to problems at major companies, covering topics such as linear and logistic regression, clustering, text analytics, optimization, and decision trees. Materials include lecture videos, recitation notes, assignments, and R-based exercises drawn from the MIT course taught at Sloan. Cases span airline revenue management, healthcare, sports analytics, and social networks, illustrating how statistical and optimization techniques translate into business decisions. The course is delivered through MIT OpenCourseWare, so all lecture notes, problem sets, and datasets are freely available for self-study, though no certificate is offered. It suits learners with some background in statistics and programming who want to see analytics methods applied to concrete corporate problems rather than abstract theory.