Forecasting Using Model Studio in SAS Viya
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.Learn how to
Who should attendForecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals
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
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Forecasting Using Model Studio in SAS Viya (2020.1) (+ 20 virtual lab hours)||14.0 hours||180 days from order date||English||792 CAD|