GCOM 7240
Advanced Quantitative Analysis
Course Description
Multivariate statistics training to analyze Big Data sets. The course covers discrete choice modeling (logistic and probit models), classification techniques (discriminant and cluster analyses), data reduction techniques (factor analysis), and advanced predictive techniques (regression models with interactions and curvilinear effects, structural equation modeling, and factorial ANOVA). Trains students on IBM-SPSS, SAS, and R.
Instructors
Richard Netemeyer
Spring 2026
tuth 12:30pm - 3:15pm
—
Rating
—
Difficulty
3.75
GPA
Polina Landgraf
Spring 2023
TuTh 12:30pm - 3:15pm
—
Rating
—
Difficulty
3.60
GPA
- -
Spring 2022
Fr 12:30pm - 3:15pmTuTh 12:30pm - 3:15pm
—
Rating
—
Difficulty
—
GPA
Chris Maurer
Spring 2022
Fr 12:30pm - 3:15pmTuTh 12:30pm - 3:15pm
—
Rating
—
Difficulty
—
GPA
David Dobolyi
Spring 2020
—
Rating
—
Difficulty
—
GPA
David Netemeyer
Spring 2018
—
Rating
—
Difficulty
—
GPA
Faculty Staff
Spring 2018
—
Rating
—
Difficulty
—
GPA