SAS Visual Analytics

Title Level Training Formats
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 Classroom Live Web Classroom e-Learning
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 Classroom Live Web Classroom e-Learning
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 Classroom Live Web Classroom e-Learning
SAS® Visual Analytics: Transitioning from SAS® 9 to SAS® Viya® New
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:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

1 Beginner Classroom Live Web Classroom e-Learning
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:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

3 Intermediate Classroom Live Web Classroom e-Learning
Strategies and Concepts for Data Scientists and Business Analysts New
To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.

In this course, you gain the skills that data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.

This course combines scheduled, instructor-led classroom or Live Web sessions with small-group discussion, readings, and hands-on software demonstrations, for a highly engaging learning experience.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

3 Intermediate Classroom Live Web Classroom e-Learning
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 Classroom Live Web Classroom e-Learning
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 Classroom Live Web Classroom e-Learning
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 Classroom Live Web Classroom