This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.
Introduction to IBM SPSS Modeler
Build models and apply them to new data
Collect initial data
Export to various data formats
Understand the data
Set the unit of analysis
Further field transformations
Examine the relationship between two continuous fields
Introduction to modeling
Create segmentation models
Use looping and conditional execution
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
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