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.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
În urma acestui curs, veți învăța să
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.
Cine ar trebui să participe la curs
Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Statistics for highly interactive, rapid model fitting
Formate disponibile | Durata | | |
Curs Live Web: |
4 sesiune/sesiuni de o jumătate de zi |
e-Learning: |
14 ore/180 zi/zile licență |
|
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 Inițiere în SAS Visual Analytics pentru SAS 9 course.
Acest curs este despre SAS Visual Statistics software.
