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 7.2, 7.3, and 7.4.
Learn how to
use SAS Visual Statistics to
- perform statistical analysis of data of any size
- create a project
- determine useful preferences and settings
- create segments, or clusters, of input variables
- perform regression and logistic regression modeling
- perform decision tree modeling
- perform stratified model fitting
- 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
Formats available | Standard duration | | |
Classroom: |
2 days | | |
|
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 &yvag course.
This course addresses SAS Visual Statistics software.
