This intermediate course is for:
Analysts building prediction or decision models for which many predictor variables of different types may be involved
Survey and Market researchers who need to perform automated decision or segmentation analysis
Introduction to IBM SPSS Decision Trees is a two day instructor led classroom course that covers the principles and practice of the tree-based decision and regression methods available in IBM SPSS Decision Trees.
Introduction to IBM SPSS Decision Trees CHAID Analysis CHAID Extensions and Additional Features CRT Decision Trees CRT Regression Trees Quest Analysis
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.