SAS Studio is a global media company and a leader of innovation, creation, distribution, licensing, advertising and marketing for all forms of entertainment and media. SAS Studio group companies provides the production, development and logistics of the motion picture film, television, fashion, modeling and talent industries.

• 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.
• SAS Studio complements SAS on Unix, SAS Connect on a PC, and the SAS Share interface to R, Matlab, and other languages. SAS Studio looks like the SAS interface found on the PC, but has direct access to WRDS data like on Unix.
• 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.
• Choose Data Set SASHELP.CARS and select the three variables - MPGCITY, MPGHighway and Weight under the Analysis Variables. Hold the Ctrl key while selecting the variables by clicking. Click on the results tab after the above steps. It shows the statistical summary of the three variables chosen. The last column indicates number of.

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

Sas Studio Aws

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.

Pipeline Essentials

• 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.

Hierarchical Forecasting
Post-forecasting Functionality

Sas Studio University

• Overrides and exporting generated tables.

Inline Code Access and Overview (Appendix)

• Code overview.

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