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/
