SAS® Visual Statistics in SAS® Viya®: Interactive Model Building

Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Statistics for highly interactive, rapid model fitting

use SAS Visual Statistics to:

• Perform statistical analysis of data of any size
• Create a report with pages
• Determine useful preferences and settings
• Create segments, or clusters, of input variables
• Perform regression and logistic regression modeling
• Add splines to models
• Perform decision tree modeling
• Perform stratified model fitting
• Perform model validation
• Compare models
• Generate score code

Before attending this course, you should have an understanding of regression and logistic regression analysis for predictive modeling. You can gain this knowledge from the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. You should also have experience using SAS Visual Analytics, which you can gain from the SAS Visual Analytics 1 for SAS Viya: Basics course.

• Introduction to SAS Visual Statistics
• Managing reports and pages
• SAS Viya architecture
• Cluster Segmentation
• Segmentation concepts
• Cluster analysis
• Models with Continuous Targets
• Linear regression models
• Generalized linear models
• Generalized additive models
• Model validation
• Models with Categorical Targets
• Logistic regression
• Modeling with group-by variables
• Decision trees
• Decision trees in SAS Visual Statistics
• Model Comparison and Scoring
• Comparing models
• Scoring