Business Forecasting

Course content

Introduction to quantitative and subjective forecasting methods. Evaluating forecast accuracy. Smoothing methods: Simple, Holt s and Winters exponential smoothing techniques. Forecasting with Regression Methods: Forecasting with simple linear trend, using casual regression models, and forecasting with Multiple regression models. Time-series Decomposition models. Finding seasonal indexes, the long-term trend, and measuring cyclical component. Box-Jenkins (ARIMA) forecasting models. Introduction to simulation usage in forecasting. Combining Forecast results and Forecast Implementation are areas covered in the course