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Searched for: 1 subject found.
15.071 The Analytics Edge
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Prereq: 15.060
Units: 4-0-8
Credit cannot also be received for 15.0711, 15.072
Lecture: TS2-3.30 (VIRTUAL) Recitation: R EVE (6.30 PM) (VIRTUAL)
Examines how data analytics is used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, sports, the internet, and beyond. Demonstrates the use of analytics methods such as linear regression, logistic regression, classification trees, random forests, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses R programming language. Includes team projects. Meets with 15.0711 and 15.072 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
Fall: B. Van Parys
Spring: C. Fogarty, C. Simon, R. Ramakrishnan
No textbook information available
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