Data Analytics for Marketing and Finance

Lecture, three hours. Enforced requisite: course 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. S/U or letter grading.

Review Summary

Clarity
N/A
Organization
N/A
Time
N/A
Overall
N/A

Course

Instructor
Stephen A. Spiller
Previously taught
22W 21W 20W 19W 18S

Previous Grades

Grade distributions not available.