Public Professional Training Courses

Introduction to Predictive Analytics with IBM SPSS Modeler

3 Day Deep Dive

This three day course provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of predictive modelling are illustrated using the CRISP-DM methodology.

  • Introduction to Data Mining
  • The Basics of Using Modeler
  • Reading Data Files
  • Data Understanding
  • Outliers and Anomalous Data
  • Introduction to Data Manipulation
  • Variable Relationships, Overview of Modelling techniques.
  • Looking for Relationships in Data
  • Combining Data Files
  • Aggregating Data
  • Selecting, Sampling and Partitioning Records
  • Modelling Techniques in Modeler
  • Automating models & tips and tricks for Modelling
  • Rule Induction
  • Automating Models for Binary Outcomes
  • Automating Models for Numeric Outcomes
  • Model Understanding
  • Comparing and Combining Models
  • Deploying and Using Models

Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.

Best for: Those who are new to Modeler or have used it in the past, and would like a complete overview that includes data access, preparation, examination, modelling, model evaluation and deployment.

Course Duration

3 Days (including breaks)

Experience Level

Best for Beginners

Upcoming Dates

6th February 2024 (3 Days)

Online

23rd April 2024 (3 Days)

Online

4th June 2024 (3 Days)

Online

25th June 2024 (3 Days)

Online

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Version 1’s SPSS Team offers a wide range of training courses for statistical analysis, survey research and data mining/predictive analytics.

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