Classifying Customers Using IBM SPSS Modeler (V16) (0A0U5G)

Course Description Schedule Course Outline

Who should attend

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:

  • Experience using IBM SPSS Modeler, including familiarity with the IBM SPSS Modeler environment, creating streams, importing data (Var. File node), basic data preparation (Type node, Derive node, Select node), reporting (Table node, Data Audit node), and creation of models.
  • Introduction to IBM SPSS Modeler and Data Mining (V16)

Course Content

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.

Classroom Training

Duration 1 day

Price (excl. tax)
  • Germany: 790.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Bread
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.

Digital courseware Dates and Booking
Click on town name to bookSchedule
06/02/2017 Berlin
03/04/2017 Frankfurt
29/05/2017 Stuttgart
24/07/2017 Hamburg
18/09/2017 Munich
13/11/2017 Düsseldorf
29/05/2017 Zurich
18/09/2017 Vienna (iTLS)