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 to- 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
What’s the difference between SAS Enterprise Guide and SAS Studio? How are they similar? Just ask SAS’ Danny Modlin. In this SAS How To Tutorial, he steps th. SAS Studio automatically adds ports to a node as they are needed when you connect nodes. Expand and collapse nodes inside of the flow. Other key features. The SAS server can be a hosted server in a cloud, in your data center or in a hybrid environment with no changes to the SAS Studio interface. 4120 North Buffalo Rd Orchard Park NY 14127. (716) 667 - 7277. BOOK ONLINE NOW! ^ Click here to book online ^. Please keep in mind that ANY color/highlight/lowlight service must be booked with either a cut/style OR blowdry/style. Failure to book color services in combo with one of those may result in having to reschedule your appointment.
SAS Studio 3.8 and 3.81 Single-User. Choose a download to add the Single-User Edition of SAS Studio 3.8 or 3.81 to your Windows desktop. SAS Studio 3.8 can be installed on the same machine as Base SAS release 9.4M4 or later. Note that some features of SAS Studio 3.8 require at least 9.4M6 and will not function on an earlier release. SAS Studio is unable to load when you use either Firefox release 73.0 and above or Google Chrome release 67 and above. After you enter your user name and password, the application stops responding and shows a continuous, spinning indicator.
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.
Post-forecasting Functionality
- Overrides and exporting generated tables.
- Code overview.
View learning path | Suggest course date | See program details |
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 to- 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.
Sas Studio Online
This course addresses SAS Visual Forecasting software.
Introduction and Data VisualizationSas Studio Help
- 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.
Post-forecasting Functionality
- Overrides and exporting generated tables.
Inline Code Access and Overview (Appendix)- Code overview.
View learning path | Suggest course date | See program details |