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Classifying Customers Using IBM SPSS Modeler (V14.2) SPVC



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:

  • Experience using IBM SPSS Modeler


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

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


This is the self paced training version of Classifying Customers Using IBM SPSS Modeler classroom course. 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.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.


E-Learning IBM Self-Paced Virtual Class (SPVC)
Preis (exkl. MwSt.)

330,- €