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Course Outline
Introduction
- Overview of advanced analytics and data mining
- Overview of CRISP-DM
- Familiarization with the Modeler User Interface
- Understanding the mechanics of building streams
Understanding Data
- Importing data into Modeler
- Measurement levels and field roles
- Utilizing the data audit node
Data Preparation
- Selecting cases
- Reclassifying categorical values
- Using append and merge nodes
- Deriving new fields
Modeling
- Overview of modeling techniques
- Using a partition node
- Constructing a CHAID model
- Model assessment
Evaluation and Deployment
- Using analysis and evaluation nodes
- Scoring new data and exporting results
- Using the flat file node
Troubleshooting
Summary and Next Steps
Requirements
- No prior knowledge of data mining is required.
Target Audience
- Data analysts
- Professionals seeking to learn SPSS Modeler
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
