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.

Ismerje meg hogyan... 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.

Kinek ajánljuk

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

Elérhető képzési formák	Időtartam
Tantermi:	2.0 nap
Live Web tanfolyam:	4 fél napos
e-Learning:	14 óra/180 nap licensz

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 for SAS 9: Getting Started course.

A tanfolyam SAS Visual Statistics szoftver használatára épül.

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