Business Knowledge Series course
Presented by George Fernandez, Analytical Training Consultant, Education Division, SAS
In this course, you use six user-friendly, precompiled SAS macro applications to perform comprehensive canonical, parametric and nonparametric discriminant, and decision tree analyses. As part of these analyses, you prepare and explore data, select variables, and create diagnostic plots related to model specification and model assumption validation. 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 you how to use these SAS/STAT applications and how to interpret the results. After class, you can download the compiled SAS macro catalog to perform comprehensive analysis on your own projects.
Learn how to
- Convert PC data files to SAS data sets and create summary statistics.
- Perform data analysis and graphical explorations of nominal and interval variables.
- Perform comprehensive discriminant analyses (canonical, parametric, and nonparametric) and build decision tree models.
Who should attend
Professors, graduate students, research scientists, applied statisticians, and business analysts
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.
