15.071 The Analytics Edge

Class Info

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 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

This class has 15.060 as a prerequisite.

15.071 will be offered this semester (Fall 2019). It is instructed by R. Freund.

Lecture occurs 8:30 PM to 10:00 AM on Tuesdays and Thursdays in E51-345.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the The Analytics Edge site or on the 15.071 Stellar site.

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