This short 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.

Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the SAS Visual Statistics in SAS Viya: Interactive Model Building course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.

• perform statistical analysis of data of any size
• create a report with pages
• create segments, or clusters, of input variables
• perform regression and logistic regression modeling

Formats available	Standard duration
Live Web Classroom:	1 half-day session(s)

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.

This course addresses SAS Visual Statistics, SAS Viya software.

• overview
• introduction to SAS Visual Statistics

• Linear Regression Models: concepts and mathematical formulation
• building a linear regression model in SAS Visual Statistics

• Logistic Regression Models: concepts and mathematical formulation
• building a logistic regression model in SAS Visual Statistics