Spring 2026 • St. Edward's University
Predictive Analytics
Turn data into decisions. Learn to build models that forecast, classify, and uncover patterns.
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Regression Analysis
The foundation of predictive analytics. Learn to build, interpret, and test regression models.
Regression Analysis
The foundation of predictive analytics. Learn to build, interpret, and test regression models.
Advanced Topics in Regression Analysis
Interactions, nonlinear models, log transformations, and cross-validation.
Logistic Regression
Predict yes or no. Approve or deny. Stay or churn. Master the art of classification.
Classification II: kNN + Naive Bayes
Distance-based and probability-based classifiers with full evaluation.
Classification & Regression Trees
Tree-based models for classification and prediction — from intuition to pruning to evaluation.
Time Series Analysis
Time series components, decomposition, benchmark forecasting methods, and practical forecasting workflows in R.
Professor: Gustavo Cepeda • gcepeda@stedwards.edu
Live Sessions: Tuesdays @ 7PM CT via Zoom
St. Edward's University • Bill Munday School of Business