Advanced Quantitative Analysis

Advanced Quantitative Analytics provides students with 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). The course also trains students on three widely-used statistical packages, IBM-SPSS, SAS, and R.