Course Overview

Classifying Customers Using IBM SPSS Modeler is a one day, instructor-led classroom, intermediate level course that provides an overview of how to use Modeler to predict the category to which a customer belongs based on selected data. Some examples include: whether a customer switches to another provider or brand, whether a customer responds to a particular advertising campaign, or how well a student will perform in a specific academic setting.

Who Should Attend

This intermediate course follows the ‘Introduction to IBM SPSS Modeler and Data Mining’ course and is essential for anyone who wishes to become familiar with a number of modeling techniques available in IBM SPSS Modeler used to classify customers. This would include Data Analysts and analytics business users.

Course Certifications

This course is part of the following Certifications:

Prerequisites

You should have:

Prior completion of Introduction to IBM SPSS Modeler and Data Mining is recommended.

An introductory course in statistics, or equivalent experience, is helpful.

Course Objectives

Please refer to course overview.

 Course Content