Training

Take advantage of additional learning opportunities while attending the conference - courses are only open to F2008 attendees. All post-conference training will take place in Building F on the SAS Cary campus.

Forecasting Using SAS Forecast Server Software

(Wednesday, June 4)

This one-day class prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface. You learn to manage default settings to improve forecast accuracy, produce forecasts and reconcile them across hierarchies, and produce forecasts in an appropriate form for integration with a business intelligence solution.

The course is designed for business analysts and others who want to create business forecasts using SAS Forecast Server. The course is appropriate for analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals.

View the complete outline.

Business Forecasting Using SAS: A Programming Approach

(Wednesday-Friday, June 4-6)

This three-day course teaches analysts how to use SAS/ETS software to create forecasting models, evaluate the model for accuracy, and forecast future values using the model.

The course is intended for scientists, engineers, and analysts who have the responsibility of forecasting for their organizations. Students are expected to have some knowledge of analytics coursework such as applied statistics, statistical modeling, or data mining and domain knowledge in an application area such as energy production, manufacturing, or a scientific discipline.

View the complete outline.

Using SAS High-Performance Forecasting Software

(Thursday-Friday, June 5-6)

This two-day course enables you to make accurate forecasts quickly and automatically, giving you the power to confidently plan your business operations. This course focuses on the following areas: creating programs that provide forecasts as output files or SAS data sets and structuring the programs and output so that they can be incorporated into a corporate forecasting system; assessing forecast performance and making decisions about the adequacy of initial forecasts, as well as the adequacy of forecasts that are being dynamically produced; and manually overseeing forecasting or devising automated strategies to determine when a forecast model should be updated.

This course is designed for professional forecasters and business analysts who need to produce forecasts for large numbers of time series.

View the complete outline.