- Ability to enter, import and transform data in SAS (k3)
- Conducting univariate and multivariate descriptive analyses with SAS (k3, k4)
- Performing simple inferential statistical procedures such as t-tests or chi-square tests in SAS (k3, k4)
- Conducting regression analyses with SAS (k3, k4)
- Creating decision trees, machine learning models such as random forest and gradient boosting, as well as scoring these models on new data with SAS (k3, k4, k5)
- Independently carrying out the necessary analyses in a data analysis project (k3, k4, k5, k6)
- Creating explorations and dashboards in the no-code/low-code interface SAS Visual Analytics (k4, k6)
- Programming of a digital twin for a real system in the SAS Macro Language (k6)
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- SAS data step to create, import and transform data
- Important SAS procedures for outputting and summarizing data
- Important SAS procedures for univariate and multivariate statistical analyses
- SAS procedures for regression, decision trees and selected machine learning methods
- SAS procedures for the creation of graphics
- Programming in the SAS Macro Language
- Use of SAS Visual Analytics for dashboards and interactive explorations
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