Data Analytics for Marketing and Finance

4 units · Graduate courses (200-299)

(Formerly numbered 264B.) Lecture, three hours. Enforced requisite: Management-Executive MBA 402 or Management-Full Time MBA 402 or Management-Fully Employed MBA 402. How to fit predictive models and visualize multivariate data using examples and topics from marketing and finance. Topics include conditional prediction and predictive models, advanced treatment of regression, visualization and graphics, automating analysis for high dimensional data. Use of industry-leading R/Rstudio statistical environment. Letter grading.