IBM SPSS Modeler: The Fundamentals (V16) (U5BQB09G)

Overview

IBM SPSS Modeler: The Fundamentals is an online instructor-led course delivered over a five day period, with each day consisting of a three-hour web session.    Students will learn the basics of using IBM SPSS Modeler for a typical data mining session.  Students will learn the fundamentals of data mining, data understanding, data preparation, modeling, evaluation, and deployment.

Prerequisites

No statistical or data mining background is necessary.

Objectives

 Build predictive models quickly and intuitively, without programming.

Duration

2.5 Days delivered over 5 afternoon sessions
 
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Course Outline
  •  
  • Define Data Mining and Advanced Analytics
  • Know the Essential Elements of Data Mining
  • Know the Modeling Methods available in SPSS Modeler
  • 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
  • Handle Missing Data
  • Handle Outliers
  • Integrate Data
  • Construct Fields
  • Reformat Data
  • Select Data
  • Assess Relationships
  • Use Decision Trees
  • Understand Model Predictions
  • Evaluate Models
  • Deploy Models