Advanced Data Preparation with IBM SPSS Modeler - ILT
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Classroom Virtual Classroom Private Group - Virtual Self-Paced OnlineOverview
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
Training Partners
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Modules
Prerequisites
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.