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.

Learn how to use SAS Visual Analytics for SAS Viya to

• Use automated explanation in SAS Visual Analytics.
• Restructure data for analytics (geographic analysis, forecasting, network analysis, path analysis, text analytics) using SAS Data Studio.
• Perform advanced analyses (geographic analysis, forecasting, network analysis, path analysis, text analytics) using SAS Visual Analytics.
• Create advanced data items using SAS Visual Analytics.
• Create advanced filters using SAS Visual Analytics.
• Create advanced interactive reports with parameters using SAS Visual Analytics.

Who should attend

Business analysts who need to use advanced functionality provided by SAS Visual Analytics

Formats available	Standard Duration (duration can vary, see event schedule for details)
Classroom:	2 days
Live Web Classroom:	4 half-day session(s)
e-Learning:	14 hours/180 day license

This course builds on the knowledge gained by attending the SAS Visual Analytics 1 for SAS Viya: Basics course.

This course addresses SAS Visual Analytics software.

SAS Visual Analytics Overview

• Overview of SAS Visual Analytics.
• Automated explanation.

Restructuring Data for Geographic Mapping

• Introduction to SAS Data Studio.
• Restructuring data.
• Analyzing geographic information.

Restructuring Data for Forecasting

• Restructuring data.
• Forecasting.

Performing Network Analysis

• Restructuring data for network analysis.
• Creating a network analysis object.

Performing Path Analysis

• Analyzing a path analysis data source.

Performing Text Analytics

• Analyzing a text analysis data source.

Creating Advanced Data Items

• Creating calculated items.
• Creating aggregated measures.

Creating Advanced Filters

• Creating advanced filters.
• Creating advanced interactive filters.

Using Parameters to Create Advanced Reports

• Using numeric parameters.
• Using character parameters.
• Using date parameters.