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Classifying Customers Using IBM SPSS Modeler (V16)

IBM Course Code: 0A0U5G

Vendor# 0A0U5G

GK# 0341

Course Overview

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.

Delivery Format Options

  • Classroom Live

    Classroom Live

    Receive face-to-face instruction at one of our training center locations.

    From

    $895 CAD

    1 day

  • Virtual Classroom Live

    Virtual Classroom Live

    Experience expert-led online training from the convenience of your home, office or anywhere with an Internet connection.

    From

    $895 CAD

    1 day

  • Self-Paced

    Self-Paced

    Recordings, hands-on labs and expert instructors empower you to train on your own schedule.

    From

    $360 CAD

    1 session

  • Private Group Training

    Private Group Training

    Train your entire team in a private, coordinated professional development session at the location of your choice.

    Receive private training for teams online and in-person.

Request a date or location for this course.

Who Needs To 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.