SAS Studio is an interface that comes with every SAS product – so you get a consistent experience from any computing device. Check out some of the products and solutions that include SAS Studio. SAS® Data Science Offerings Take advantage of self-service AI and machine learning capabilities within a flexible, centralized environment that. The specific page that you are trying to access cannot be found. If a table of contents is available, try searching or browsing to find the information that you need. Otherwise, you can find additional documentation on the SAS Support Site. If you followed a link from a SAS software product, or from any SAS website, please report this problem.
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 pharmaceuticals
Formats 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 |
The first time you run SAS/IML Studio, a personal files directory called My IML Studio Files is created. By default, the personal files directory corresponds to the Windows directory shown in Table 34.1.
Windows XP | C:Documents andSettingsuseridMy DocumentsMy IML Studio Files |
Windows Vista | C:UsersuseridDocumentsMy IML Studio Files |
Windows 7 | C:UsersuseridDocumentsMy IML Studio Files |
It is recommended that you store the files you create with SAS/IML Studio in subdirectories of the personal files directory. This provides the following advantages:
Sas Studio Download
Each person who logs on to the computer has a unique personal files directory.
The personal files directory keeps your files separate from files that are distributed with SAS/IML Studio.
If all your SAS/IML Studio files are in subdirectories of the personal files directory, it is easier for you to back up your files.
When you open a file by selecting FileOpenFile from the main menu, the dialog box contains a button that lets you navigate directly to the personal files directory.
In the personal files directory, SAS/IML Studio creates the following subdirectories:
Sas Studio 3.8 User Guide
directory for user-written Java classes
directory for SAS data sets
Sas Studio Online
Sas Studio Tutorial
directory for IMLPlus matrices stored on the client computer
Sas Studio App
directory for IMLPlus modules
directory for IMLPlus programs