SAS University Edition

Kurstitel / Course title Stufe / Level Kursformat / Course Format
User-Friendly, Comprehensive SAS® Statistical Applications: Regression Models Business Knowledge Series
In this course, you use six user-friendly, precompiled SAS macro applications to perform comprehensive multiple linear and binary logistic regression 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 user-friendly 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.

3 Für Fortgeschrittene Classroom Live Web Classroom
User-Friendly, Comprehensive SAS® Statistical Applications: Classification Models Business Knowledge Series
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.

3 Für Fortgeschrittene Classroom Live Web Classroom
User-Friendly, Comprehensive SAS® Statistical Applications: Multivariate Models Business Knowledge Series
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.

3 Für Fortgeschrittene Classroom Live Web Classroom