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IBM SPSS Modeler - Quick Start (Self-Paced)

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IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models.  

Overview:  IBM SPSS Modeler: QuickStart is a self-paced course.  Normally, this course is a full day in length.  However, you do not need to complete it in one day. Students will learn the basics of data mining and using IBM SPSS Modeler.  Students will learn the fundamentals of the CRISP-DM process, navigating within Modeler, reading data and assessing data quality, combining files, constructing new fields, selecting cases, constructing decision tree models, evaluating models, and deploying models.

Prerequisites:  No statistical or data mining background is necessary.

Knowledge Level:  Introduction

Performance Goals:

Upon successful completion of this course, attendees will be able to:

  • Discuss the Cross Industry Standard Process for Data Mining (CRISP-DM)
  • Be Familiar with the General Modeler Interface
  • Read Data into Modeler
  • Assess Data Quality
  • Combine Data Files
  • Derive Fields
  • Select Cases
  • Use Decision Trees to build Models
  • Evaluate Models
  • Deploy Models