Advanced Data Preparation with IBM SPSS Modeler - ILT

1 Day Course
Code 0A052G

Book Now - 1 Delivery Method Available:

Classroom Virtual Classroom Private Group - Virtual Self-Paced Online


In this course, you'll examine additional topics to aid in the preparation of data for a successful data mining project. You'll learn how to partition records from files, handle missing data, modify fields and create new fields, and work with dates, strings and sequence data

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Content (10 topics)

  • Sampling Data
  • Working with Dates
  • Data transformations on continuous fields
  • Working with string data
  • Working with sequence data
  • Writing out data files
  • Efficiency in IBM SPSS Modeler
  • Database Joins with IBM SPSS Modeler
  • Statistics transform node


General computer literacy. Some experience using IBM SPSS Modeler (formerly Clementine) including familiarity with the IBM SPSS environment, creating streams, reading data files, and doing simple data exploration and manipulation. Prior completion of Introduction to IBM SPSS Modeler and Data Mining is strongly encouraged.

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