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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.
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:
Prior completion of Introduction to IBM SPSS Modeler and Data Mining is recommended.
An introductory course in statistics, or equivalent experience, is helpful.