Advanced Data Preparation using IBM SPSS Modeler (v16)

Course details

Advanced Data Preparation Using IBM SPSS Modeler (V16) 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.

Target Audience:

This advanced course is for IBM SPSS Modeler Analysts and IBM SPSS Modeler Data Experts who want to become familiar with the full range of techniques available in IBM SPSS Modeler for data manipulation.

Objectives:

Please refer to Course Overview for description information.

Prerequisites:

You should have:

• General computer literacy.
• Some experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, and doing simple data exploration and manipulation using the Derive node.
• Prior completion of Introduction to IBM SPSS Modeler and Data Mining (V16) is recommended.