SAS Visual Analytics
| Title | Level | Training Formats |
|---|---|---|
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SAS® Viya® Overview
This course provides an introduction to the applications in SAS Viya and discusses how each application is used in each phase of the SAS Analytics Life Cycle: Data, Discovery, Deployment, and Orchestration. |
1 Beginner |     |
|
SAS® Visual Analytics for SAS® 9: Administering a Distributed Deployment
This course teaches how to administer a SAS Visual Analytics environment deployed on Linux. The self-study e-learning includes:
|
3 Intermediate | |
|
SAS® Visual Analytics 2 for SAS® Viya®: Advanced
This course describes advanced features of data preparation, analytics, and report creation in SAS Visual Analytics. The e-learning course covers SAS Visual Analytics 8.5, 2020.1, and 2021.1.4 in SAS Viya. |
4 Expert | |
|
SAS® Visual Analytics 2 for SAS®9: Advanced
This course describes advanced features of data preparation, analytics, and report creation in SAS Visual Analytics. |
4 Expert | |
|
SAS® Visual Analytics 1 for SAS® Viya®: Basics
This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics. |
1 Beginner | |
|
SAS® Visual Analytics 1 for SAS®9: Basics
This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics. |
1 Beginner | |
|
SAS® Visual Analytics: Transitioning from SAS® 9 to SAS® Viya®
This course examines features in SAS Visual Analytics in SAS 9 and shows how to access the same features in SAS Visual Analytics 2021.1.4 Stable. This course also uses SAS Visual Analytics 2021.1.4 Stable to illustrate how SAS Visual Analytics Explorer and Designer have been combined in a single application. The self-study e-learning includes:
|
1 Beginner | |
Graphing Data Effectively and Avoiding Common Pitfalls 
The human mind is geared to look at patterns and attach immediate explanation to the patterns, consciously or subconsciously, and sometimes that conclusion or explanation might not be apt. This course discusses the common fallacies and paradoxes in statistics and data analysis, as well as common pitfalls in data visualization. The course also teaches general guidelines that help you avoid those pitfalls to ensure a fair and accurate representation of facts. |
1 Beginner | |