Applied Forecasting Methods

Catalog description

This graduate-level course provides an applied and practical introduction to modern business forecasting methods. Topics include time series decomposition, exponential smoothing, ARIMA models, regression-based forecasting, judgmental methods, forecast evaluation, and applications in finance, operations, and marketing. Emphasis is placed on hands-on modeling, interpretation, and communicating forecasts to decision-makers.