SAS(R) Visual Statistics: Interactive Model Building

Course Details
Code: SVSO74
Tuition (USD): $1,300.00 • Classroom (2 days)

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.

Skills Gained

  • 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 Can Benefit

  • 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 I: 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.

Course Details

Introduction to SAS Visual Statistics

Cluster Segmentation

  • segmentation concepts
  • cluster analysis
  • data management

Models with Continuous Targets

  • managing projects and models
  • linear regression models
  • generalized linear models

Models with Categorical Targets

  • logistic regression
  • decision trees

Model Comparison and Assessment

  • comparing models
  • scoring
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