Introduction to Predictive Analytics with IBM SPSS Modeler

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.

For more SPSS courses have a look at our Public & Professional Courses https://www.spssanalyticspartner.com/training/public-professional-training-courses/

Host or Publisher Version 1 SPSS