SAS® Visual Analytics for SAS® Viya®: Fast Track
SAS® Visual Analytics for SAS® Viya®: Fast Track
YVFT85 : YVFT42
This course provides an introduction to data discovery, beginning to intermediate report creation, examination of the advanced features of analytic objects, data joining, aggregated data source, advanced data item and aggregated measure creation, parameters, build a custom graph, sharing, and managing of reports in SAS Visual Analytics.
The e-learning course covers SAS Visual Analytics 2024.09 LTS in SAS Viya. Students with Visual Analytics 8.5 and other versions of SAS Viya can also take the course.
The e-learning course covers SAS Visual Analytics 2024.09 LTS in SAS Viya. Students with Visual Analytics 8.5 and other versions of SAS Viya can also take the course.
Learn How To
In SAS Visual Analytics 1 for SAS Viya: Basics, you will learn to:
- Get started building reports using SAS Visual Analytics.
- View reports using SAS Visual Analytics and other supported applications.
- Access data loaded into CAS and navigate the SAS Visual Analytics interface.
- Manage and create data items, work with multiple data sources, and sort, filter, and rank data.
- Explore data and create reports using objects.
- Enhance reports with geographic data and display rules.
- Design interactive reports by modifying viewer capabilities and by adding prompts, actions, and links.
- Discover best practice recommendations for report design using SAS Visual Analytics.
- Perform advanced analyses using the analytic objects.
- Use automated explanation and automated prediction in SAS Visual Analytics.
- Create and work with data joins and aggregated data sources using SAS Visual Analytics.
- Create advanced data calculated data items, aggregated measures and parameters using SAS Visual Analytics.
- Create a custom graph using Graph Builder.
- Share and manage reports using SAS Visual Analytics.
Who Should Attend
Business analysts who need to use SAS Visual Analytics to explore data, refine data for reporting, build and share reports.
Prerequisites
No SAS experience or programming experience is required, although you should have some computer experience. Specifically, you should be able to:
- Log on and off a computer and use a keyboard or mouse.
- Use a web browser to access information.
SAS Products Covered
SAS Visual Analytics
Course Outline
SAS Visual Analytics 1 for SAS Viya: Basics
- Getting started with SAS Visual Analytics
- Viewing Reports
- Using the SAS Visual Analytics Interface
- Refining Data for Effective Reports
- Working with Exploring Objects
- Working with Report Objects
- Working with Geographic Data and Objects
- Working with Display Rules
- Designing Interactive Reports
- Best Practices for Designing Reports
- Working with Analytic Objects
- Creating Data for Advanced Reports
- Working with Parameters
- Creating Custom Graphs with Graph Builder
- Sharing and Managing Reports
Live Class Schedule
Duration: 28 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.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
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.