This course introduces SAS Visual Statistics for building predictive models in an interactive, exploratory way. Exploratory model fitting is a critical step in modeling big data. This course is appropriate for users of SAS Visual Analytics in SAS Viya.
Learn How To
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.Who Should Attend
Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Statistics for highly interactive, rapid model fitting
Prerequisites
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 You Need to Know for Machine Learning 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.
SAS Products Covered
SAS Visual Statistics;SAS Viya
Course Outline
Introduction to SAS Visual Statistics
Managing reports and pages. SAS Viya architecture.Cluster SegmentationSegmentation concepts. Cluster analysis.Models with Continuous TargetsLinear regression models.Generalized linear models. Generalized additive models. Model validation.Models with Categorical TargetsLogistic regression. Modeling with group-by variables. Decision trees. Decision trees in SAS Visual Statistics.Model Comparison and ScoringComparing models. Scoring.
Live Instructor Dates 
