Express Course: Data Preparation Tools in IBM SPSS Modeler

Data understanding and preparation are the most time-consuming parts of data science projects. IBM SPSS Modeler makes data preparation tasks easy and transparent. Many data preparation tasks are automated in Modeler. This express course will cover the most common data preparation tasks, the user interface palettes for data preparation, and how to complete data preparation tasks in Modeler. This two hour course will cover the following topics:

• Typical data preparation tasks
• Review of Record Ops palette
• Demonstration of Select, Sample, Distinct, and Aggregate nodes
• Review of Field Ops palette
• Demonstration of Filter, Derive, Reclassify, Set to Flag, and Restructure nodes
• Demonstration of merging data files with Merge and Append nodes

Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.

Best for: Anyone who wants to understand the extensive data preparation tools in Modeler so that data preparation and transformation tasks are completed prior to model building.