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Introduction to IBM SPSS Decision Trees
Overview
Introduction to IBM SPSS Decision Trees is a two day course that covers the principles and practice of the tree-based decision and regression methods available in IBM SPSS Decision Trees. A general introduction to the features of the IBM SPSS Decision Trees module and an overview of decision tree based methods will be covered. These methods (CHAID, Exhaustive CHAID, CRT, and QUEST) are used to perform classification, segmentation, and prediction modeling in a wide range of business and research areas. The techniques are discussed and compared, analyses are performed, and the results interpreted.
Prerequisites
- Introduction to IBM SPSS Statistics and/or Data Management and Manipulation with IBM Statistics
- Introduction to Statistical Analysis Using IBM SPSS Statistics
- Those who followed Advanced Statistical Analysis Using IBM SPSS Statistics and/or Market Segmentation Using IBM SPSS Statistics will gain more from the course
Additional Courses
- Advanced Techniques : Anova
- Advanced Techniques : Regression
- Presenting Data with IBM SPSS Custom Tables
Key Topics
- Introduction to IBM SPSS Decision Trees
- CHAID Analysis
- CHAID Extensions and Additional Features
- CRT Decision Trees
- CRT Regression Trees
- Quest Analysis