Classifying Customers Using IBM SPSS Modeler (V16)
Classifying Customers Using IBM SPSS Modeler (V16) is an intermediate level course that provides an overview of how to use IBM SPSS Modeler to predict the category to which a customer belongs. Students will be exposed to rule induction models such as CHAID and C and R Tree. They will also be introduced to traditional statistical models and machine learning models. Business use case examples include: predict whether a customer switches to another provider/brand and whether a customer responds to a particular advertising campaign. Although this course focuses on classifying customers (including students, patients, employees, and so forth), the techniques can also be applied to business questions such as predicting breakdown of machine parts.
This intermediate course is for IBM SPSS Modeler Analysts who have completed the Introduction to IBM SPSS Modeler and Data Mining course who want to become familiar with the modeling techniques used to classify customers in IBM SPSS Modeler. This includes data analysts and analytics business users.
You should have:
Please refer to Course Overview for description information.
Introduction to Classifying Customers
Building Your Tree Interactively with CHAID
Building Your Tree Interactively with C&R Tree and Quest
Building Your Tree Directly
Using Traditional Statistical Models
Using Machine Learning Models
Would you like to see your cart ?
An email has been sent to all users you have mentioned.