SAS(R) Visual Statistics in SAS(R) Viya(R): Interactive Model Building
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. The classroom and Live Web course is appropriate for users of SAS Visual Analytics in SAS Viya 3.5. In e-learning, there is a course for users of SAS Visual Analytics in SAS Viya 3.5, and there is also a course for users of SAS Visual Analytics in SAS Viya 2020.1.
Virtual Training nebo e-Learning?
Máme dostatečnou flexibilitu, takže vybírat můžete jak prezenční termíny, tak online kurzy.
Zkuste živý kurz virtuálněTarget group
Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Statistics for highly interactive, rapid model fitting
Course structure
Introduction to SAS Visual Statistics
- Managing reports and pages.
- SAS Viya architecture.
Cluster Segmentation
- Segmentation concepts.
- Cluster analysis.
Models with Continuous Targets
- Linear regression models.
- Generalized linear models.
- Generalized additive models.
- Model validation.
Models with Categorical Targets
- Logistic regression.
- Modeling with group-by variables.
- Decision trees.
- Decision trees in SAS Visual Statistics.
Model Comparison and Scoring
- Comparing models.
- Scoring.
Prerequisites
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 1 for SAS Viya: Basics course.
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