15.0341 Metrics for Managers
Enables students to evaluate the quality of evidence supported by data and to implement an empirical toolkit that provides credible answers to questions in finance, marketing, human resources, strategy, and general business planning. Uses econometrics as the underlying framework to develop deep understanding of regression modelling and its insights for data analytics using big and small data. Focuses primarily on empirical work conducted by students via in-class labs, problem sets, and projects. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
This class has no prerequisites.
Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in E51-335.
This class counts for a total of 9 credits.
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