Predictive Modeling with SAS Enterprise Miner 5.2 Certification Exam

Required Experience

Successful candidates for this exam should have at least one year of experience with data mining and at least six months of experience with SAS Enterprise Miner 5.2. The successful candidates should know how to use SAS Enterprise Miner to prepare data, construct predictive models, assess models, and implement models.

Test Content

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

Exam Details

61 multiple-choice questions
Use SAS Enterprise Miner 5.2 during the test to answer questions

Exam Preparation

Instructor-Based Training
In addition to the required experience listed above, in the United States the basic principles tested are covered in a 3-day course, Applied Analytics Using SAS Enterprise Miner 5.

SAS Self-Paced e-Learning
In addition to the required experience listed above the basic principles tested are covered in a Web-based course, Applied Analytics Using SAS Enterprise Miner 5.

Recommendation courses may vary in certain countries. Choose a country for specific training options.

View more information on the SAS Global Certification Program.