This course describes data preparation (including advanced features), data discovery, analytics, and report creation in SAS Visual Analytics
Learn how to
use SAS Visual Analytics for SAS(R)9
- Organize content in SAS Drive.
- Create, view, and interact with reports using SAS Visual Analytics.
- Access and investigate data in SAS Visual Analytics.
- Prepare and restructure data for analytics (geographic analysis, forecasting, network analysis, path analysis, text analytics) using SAS Data Studio.
- Perform data discovery and analysis using SAS Visual Analytics.
- Use automated explanation in SAS Visual Analytics.
- Create interactive reports 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 an introduction to the functionality provided by SAS Visual Analytics
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
This course addresses SAS Visual Analytics software.
This course addresses SAS Visual Analytics software.
Getting Started with SAS Visual Analytics- Introduction to SAS Visual Analytics.
- Exploring the SAS Visual Analytics course environment.
- Viewing SAS Visual Analytics reports
Preparing Data in SAS Visual Analytics- Investigating data in SAS Visual Analytics.
- Transforming data using Data Studio.
Analyzing Data in SAS Visual Analytics- Working with data items.
- Exploring data with charts and graphs.
- Creating data items and applying filters.
- Performing data analysis (relationship charts).
Designing Reports with SAS Visual Analytics- Creating a simple report.
- Creating interactive reports.
- Working with display rules.
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
Performing Text Analytics
Creating Advanced Data Items- Creating calculated items.
- Creating aggregated measures.
Using Parameters to Create Advanced Reports- Using numeric parameters.
- Using character parameters.
- Using date parameters.
