Test BAS-013: IBM SPSS Modeler Data Mining for Business Partners v2

Business Understanding (8%)

1. Review of the CRISP methodology

General Operations in Modeler (20%)

1. Building streams
2. Running streams
3. Reading different types of files into Modeler

Data Understanding (20%)

1. Extent of missing data
2. Outliers
3. Field distribution and summary statistics
4. Auto-checking for missing or out-of-bounds data
5. Looking at bivariate relationships between variables

Data Preparation (28%)

1. Automated data preparation
2. Creating new variables with the Derive Node
3. Creating new variables with the Reclassify Node
4. Combining data files
5. Restructuring data
6. Aggregating data
7. Removing duplicates
8. Sampling cases
9. Balancing data
10. Data caching
11. Partitioning data
12. Missing value replacement

Modeling (16%)

1. Auto classifier
2. Auto numeric

Deployment (8%)

1. Scoring new data with a deployed model
2. Exporting model results