DSCI 000/4413 - Analysis of Categorical Data (3 cr.)

Prerequisites
MACT 2132 and MACT 3223

Description
The analysis of discretely measured responses such as counts, proportions, nominal variables, ordinal variables, discrete interval variables with few values, continuous variables grouped into a small number of categories, etc. Topics include: Detection of outliers in categorical data; Inference and distributions for discrete data; Inference for contingency tables; Generalized linear models for count data; Models for binary and multinomial response (logistic regression, Poisson regression, Loglinear models); Classification and regression trees; Cluster analysis for categorical data; The course includes an applied project using computer programming language such as R or Python.

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AUC New Cairo Campus

AUC Tahrir Square Campus

New York

DSCI 000/4413 - Analysis of Categorical Data (3 cr.)