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Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1) (0A0U8G)

Course Description Schedule Course Outline
 

Who should attend

• Analytics business users who have completed the Introduction to IBM SPSS Modeler and Data Mining course and who want to become familiar with analytical models to predict a categorical field (yes/no churn, yes/no fraud, yes/no response to a mailing, pass/fail exams, yes/no machine break-down, and so forth).

Prerequisites

• Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling. • Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1) is recommended.  

Course Content

This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and C&R Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.

Classroom Training
Modality: C

Duration 1 day

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

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • 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 book Schedule
Germany

Currently no local training dates available.  For enquiries please write to info@flane.de.

Switzerland
25/02/2019 Zurich
10/06/2019 Basel
26/08/2019 Bern
18/10/2019 Geneva
06/12/2019 Zurich
Asia Pacific
Australia
10/12/2018 Melbourne
 

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