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Learn the basics
Learn how to get started with SAS Visual Forecasting with these tutorials:
Stay connected
Tutorials
- Use the Pipelines Tab
- Build and Run Pipelines (Video)
- Compare Modeling Nodes in a Pipeline
- Select a Champion Pipeline
- Create a Segmented Pipeline
Time Series Data Handling & Visualization
- Create a New Project
- Import Projects from SAS Forecast Studio
- Segment Project Data
- Add Predefined and Custom Events to Your Project
Collaborating
More How-To Videos
Accumulate Transactional Data into Time Series
Create and Fit a User-specified Model
Learn about the pipeline functionality in SAS Visual Forecasting.
Learn about modeling and forecasting time series automatically in SAS Visual Forecasting.
Using Pipelines
Training Courses
Forecasting Using Model Studio in SAS Viya
Get a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. You'll 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 and more.
Models for Time Series and Sequential Data
Learn to build, refine, and, in some cases, interpret time series models. Three modeling approaches are presented. The traditional ARIMAX or time series regression approach, a Bayesian approach where the basic Bayesian framework is extended to accommodate autoregressive variation in the data as well as dynamic input variable effects, and finally machine learning algorithms for time series are explored. Examples are provided to build intuition on the effective use of these algorithms. The course concludes by considering how forecasting precision can be improved by creating combined (or ensemble) and hybrid model forecasts.
Large Scale Forecasting Using SAS Viya: A Programming Approach
Learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. For the course project, students build and then refine a large-scale forecasting system. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Students are then asked to improve overall baseline forecasting performance by modifying default processes in the system.
Time Series Feature Mining and Creation
Learn about data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis.
Documentation
SAS Visual Forecasting on the SAS Viya Platform
Previous Versions
SAS Visual Forecasting Blogs & Communities
Featured Community Articles
Featured Blogs
Featured Community Topics
- Free SAS sample datasets for forecasting
- Forecasting Webinars to Watch on Demand
- Forecasting with the Distributed Open Source Code node
- Interactive Events Management in SAS Visual Forecasting
- A new way to combine local and global models in your forecasting process
- Introducing the Hierarchical Modeling node in SAS Visual Forecasting