Curriculum
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Descriptions
MSIA 401: Predictive Analytics I

Quarter Offered

Fall ; Ajit Tamhane

Description

This course covers linear parametric methods of regression and classification, including multiple regression, binary logistic regression, multinomial (nominal and ordinal) logistic regression, discriminant analysis, and generalized linear models. R software is used to apply the methods to real data sets. A large data analysis group project is required.