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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
- Data splitting/balancing/overfitting/oversampling
- Logistic/linear regression
- Artificial neural networks (MLP)
- Decision trees
- Variable importance/odds ratio
- Profit/loss/prior probabilities
- Comparison between models/lift chart/ROC/profit & loss
- Assessment of a single model
- Score a data set
- Model implementation