Forecasting Using SAS Software: A Programming Approach
This course teaches analysts how 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.Learn how to
Who should attendScientists, engineers, and business analysts who have the responsibility of forecasting or evaluating policies and practices for their organizations
Before attending this course, you should have:
Knowledge of SAS Macro language programming is useful but not required.
This course addresses SAS/ETS software.
Introduction to Forecasting
This course is not currently scheduled in the classroom. Contact us to discuss on-site training options for your group.