Introduction to IBM SPSS Modeler
- Introduction to data science
- Describe the CRISP-DM methodology
Build models and apply them to new data
Collect initial data
- Describe field measurement level
- Import from various data formats
Export to various data formats
Understand the data
- Take action for invalid values
Define blanks
Set the unit of analysis
- Transform nominal fields into flags
Restructure data
Integrate data
Sample records
Transform fields
- Use the Control Language for Expression Manipulation
Bin fields
Further field transformations
Transform distributions
Examine relationships
- Examine the relationship between two categorical fields
- Examine the relationship between a categorical and continuous field
Examine the relationship between two continuous fields
Introduction to modeling
- Describe modeling objectives
Create segmentation models
Improve efficiency
- Use database scalability by SQL pushback
- Process outliers and missing values with the Data Audit node
Use looping and conditional execution