Introduction to SPSS Modeler (up to 4 attendees)


Two days’ onsite training for up to 4 attendees

To book this training simply place an order through our online store here. As soon as we receive your order we’ll be in touch with you to find out more about your specific requirements and to arrange dates for your training.

All training will be delivered on your premises for a maximum of four people.

Please note this training fee does not include expenses. Travel, subsistence and accommodation expenses (if relevant )will also be invoiced after the training is complete.

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This is the best value SPSS Modeler training that’s available on the market. For just £2,500 plus VAT you and three colleagues will get two full days intensive introduction to SPSS Modeler led by one of our analytics training experts.

In this course, we will cover many of SPSS Modeler’s most useful concepts and procedures so that you can get the most out of the software in the shortest amount of time.

The course has a practical emphasis including hands-on exercises and time to ask questions. We don’t assume that you have used SPSS Modeler before.

  1. Working with SPSS Modeler
    • Background to SPSS Modeler
    • Overview of the functionality
    • A predictive analytics tour
  2. Reading data sources
    • Reading Excel files into SPSS Modeler
    • Reading text files into SPSS Modeler
    • The Generate menu and the Select node
    • The Database node
  3. Data understanding
    • The Filter and Type nodes
    • The Data Audit node
  4. Restructuring data
    • The Distinct node
    • The Aggregate node
    • The Set to Flag node
  5. Merging data
    • The Append node
    • The Merge node
    • The Field Reorder node
  6. Changing and creating data
    • The Reclassify node
    • The Filler node
    • The Derive node
  7. Exploring data
    • The Matrix, Distribution and Histogram nodes
    • The Means and Plot nodes
    • The Statistics and Graphboard nodes
  8. Building a predictive model
    • Building a predictive model
    • Model nuggets
  9. Assessing and selecting predictive models
    • Assessing predictive models
    • The Analysis node
    • Success criteria scenarios and the Evaluate node
    • The Partition and Autoclassifer nodes
  10. Deploying predictive models
    • Scoring data with a Model nugget, the Sort node and the Flat File Export node
    • The Ensemble and Excel Export nodes
    • Using the Evaluation node to score data and exporting using the Database Export node


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