MGSC 661 — Multivariate Statistical Analysis
The course will begin with the standard linear regressions, and extend to multivariable regression models, factor analysis, principal components, selection models, and dynamic and nonlinear multivariate data methods. Students will be exposed to a broad range of techniques and applications in business analytics through conducting their own statistical analyses.
- Rating: 5.00 out of 5 from 76 student reviews
- Difficulty: 3.50 out of 5
- Credits: 3
- Faculty: Graduate Studies
- Department: Management
- Taught by: Alys Liang
Sections offered
- Section 075 (Lec), Wed 8:35-11:25 am — 12 seats open
- Section 076 (Lec), Wed 11:35 am-2:25 pm — 1 seats open