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Forecasting Using Model Studio in SAS® Viya®
FVVF : FVVF42
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
- 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
Prerequisites
Although prerequisites are not required, you will get more value from this course if you first attend these two courses:
- Time Series Modeling Essentials.
- Statistics You Need to Know for Machine Learning.
SAS Products Covered
SAS Visual Forecasting
Course Outline
Introduction and Data Visualization
- Lesson overview.
- Getting started with your forecasting project.
- Visualizing time series using attribute variables.
- Lesson overview.
- 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.
- Interactive modeling node.
- Lesson overview.
- Building a hierarchical forecasting model.
- Selecting a champion model.
- Hierarchical forecasting node.
- Lesson overview.
- Overrides and exporting generated tables.
- Lesson overview.
- New and existing attributes and filters.
- Data export.
- Score new data and task options.
- Event variables.
- Intermittent data and models.
- Outlier detection.
- Ensemble node.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
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Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.
This course helps prepare you to earn the following SAS Credentials:
SAS Certification Manager
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