This course provides a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. The course begins by showing how to load the data into memory and visualize the time series data to be modeled. Attribute variables are introduced and implemented in the visualization. The course then covers the essentials of using pipelines for generating forecasts and selecting champion pipelines in a project. It also teaches you how to incorporate large-scale forecasting practices into the forecasting project. These include the creation of data hierarchies, forecast reconciliation, overrides, and best practices associated with forecast model selection.
This course can help prepare you for the following certification exam(s): SAS Forecasting and Optimization Using SAS Viya 3.5.
Learn how toSAS Studio® is a fairly new interface for SAS, which provides easy straight forward point and click access to the power of SAS, and this book addresses the use of this interface to tackle a number of common statistical techniques. SAS Demo Image Classification Using SAS. Brian Gaines demonstrates how to use a new task in SAS Studio to jump-start the development of SAS code to train an image classification model with the power of SAS Viya.
- Automatically create and fit custom forecast models using structured analytic workflows or pipelines.
- Visualize modeling data using attribute variables.
- Refine forecast models to improve forecast accuracy.
- Apply overrides-generated forecasts.
- Generate forecast data sets for deployment.
- Build and share custom pipelines for large-scale forecasting analyses.
Who should attend
Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticalsFormats available | Standard Duration | |
| Classroom: | 1.5 days | |
| Live Web Classroom: | 3 half-day session(s) | System Requirements |
| e-Learning: | 14 hours/180 day license | System Requirements |
Before attending this course, you should have an understanding of basic statistical concepts. You can gain this experience by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. Programming experience is not required.
This course addresses SAS Visual Forecasting software.
Introduction and Data Visualization- SAS Drive overview.
- Creating a forecasting project and loading the data.
- Visualizing the modeling data using attribute variables.
- Definition and creation of a time series.
- Fundamental concepts in time series modeling.
- Classes of time series models
- Model comparison using honest assessment.
- Pipeline templates and pipeline comparison.
Sas Studioo
Post-forecasting Functionality
Sas Studio Online
- Overrides and exporting generated tables.
- Code overview.
Sas Studio 101
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