Predictive Modeling Using SAS Enterprise Miner 5.2 Exam
Please note that the Predictive Modeling with SAS Enterprise Miner 5.2 Exam is not available through Prometric. You
can
register for this exam
here.
Audience
A SAS Enterprise Miner predictive modeler should have current SAS Enterprise Miner experience including the ability to
prepare data, build predictive models, assess models, score new data sets, and implement models. Candidates should also be
familiar with the enhancements and new functionalities for predictive modeling that are available in
SAS Enterprise Miner 5.2.
Test Content
Please note: You will be performing all the tasks listed below using SAS Enterprise Miner 5.2.
Data Preparation
- Missing values
- Initial data exploration including data visualization/measurement levels or scales/variable reduction
- Transformation/recoding/binning
Predictive Models
- Data splitting/balancing/overfitting/oversampling
- Logistic/linear regression
- Artificial neural networks (MLP)
- Decision trees
- Variable importance/odds ratio
- Profit/loss/prior probabilities
Model Assessment
- Comparison between models/lift chart/ROC/profit & loss
- Assessment of a single model
Scoring and Implementation
- Score a data set
- Model implementation