Classifying Customers Using IBM SPSS Modeler is a one day, self-paced training, 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.
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.
You should have:
An introductory course in statistics, or equivalent experience, is helpful.
There are no follow-ons for this course.