This Forecasting using SAS Software training course provides skills to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness-of-fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models.
By attending Forecasting using SAS Software workshop, delegates will learn to:
- Build simple forecast models
- Build advanced forecast models for autocorrelated time series and for time series with trend and seasonality
- Build forecast models that contain explanatory variables
- Build models to assess the impact of events such as public policy changes (for example, dui laws), sales and marketing promotions, and natural or man-made disasters
- Experience using SAS to enter or transfer data and to perform elementary analyses, such as computing row and column totals and averages, and producing charts and plots.
- Knowledge of SAS Macro language programming is useful, but not required.
The Forecasting using SAS Software class is ideal for:
- Scientists, engineers, and business analysts who have the responsibility of forecasting or evaluating policies and practices for their organizations