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IBM: Predictive Modelling with IBM SPSS Modeler – ILT
Your SPSS predictive models must be selected and evaluated against the problem being studied. With IBM SPSS, structure information preparation and exploration to interpret results more effectively. Develop an analytical practice that helps you support your conclusions and identify the limits of the methods.
- Duration
- 3 days 21 hours
- Code
- OA032 Code
Presentation
This course explains how to develop predictive models from categorical or continuous data using techniques such as neural networks, decision trees, logistic regression, support vector machines and Bayesian network models.
Objectives
You will learn how to combine two or more models to improve prediction.
Program
- Preparing data for modelling.
- Finding data anomalies.
- Selecting predictors.
- Data reduction with principal components.
- Neural networks.
- Support vector machines.
- Cox regression.
- Time series analysis.
- Decision trees.
- Linear regression.
- Logistic regression.
- Discriminant analysis.
- Bayesian networks.
- Numeric predictor nodes.
- Binary classifier nodes.
- Combining models to improve performance.
- Making optimal use of models.
Audience
This course follows either Introduction to IBM SPSS Modeler and Data Mining or Advanced Data Preparation with IBM SPSS Modeler. It is essential for anyone wishing to become familiar with the full range of modelling techniques available in IBM SPSS Modeler to create predictive models.
Prerequisites
Participants should have:
- General computer knowledge.
- Experience using IBM SPSS Modeler.
- Completed an introductory statistical analysis course for statistics-based modelling techniques.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Practical exercises
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.