Business Knowledge Series course

Presented by George Fernandez, Analytical Training Consultant, Education Division, SAS

In this course, you learn how to perform data preparation, exploration, and comprehensive multivariate statistical models such as principal component, exploratory factor, and cluster analyses using five user-friendly, precompiled SAS macro applications. This user-friendly approach integrates statistical and graphical analysis tools that are available in SAS/STAT and provides complete statistical solutions without writing SAS code or using a point-and-click approach. Step-by-step instructions show how to use these applications and how to interpret the results. After class, you can download the compiled macro catalog to perform comprehensive analysis on your own projects.

• Convert PC data files to SAS data sets and create summary statistics.
• Perform data and graphical explorations of nominal and interval variables.
• Perform principal component and exploratory factor analysis, and K-means cluster analysis.

Who should attend

Formats available	Standard duration
Classroom:	1.0 day
Live Web Classroom:	2 half-day session(s)	System Requirements

Prior SAS software experience is not required to use the SAS applications that are presented in this course. Prior knowledge of ANOVA and regression is recommended.

This course addresses SAS Enterprise Guide, SAS Studio, SAS University Edition software.

• Introduction.
• Multivariate modeling steps.
• Multivariate modeling solutions.
• User-friendly SAS applications.

• Introduction.
• Data attributes.
• Variables.
• User-friendly SAS applications.

• Introduction.
• Exploring interval variables.
• Exploring nominal variables.

• Introduction.
• Multivariate statistical methods.
• Principal component analysis.
• Exploratory factor analysis.
• Disjoint cluster analysis.