This course covers advanced topics to aid in the preparation of data for a successful data mining project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.
• General computer literacy • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling. • Prior completion of Introduction to IBM SPSS Modeler and Data Mining (v18) is recommended.
This advanced course is intended for anyone who wishes to become familiar with the full range of techniques available in IBM SPSS Modeler for data manipulation.