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Introduction to IBM SPSS Modeler and Data Mining (v18)

Get an overview of data mining and learn the fundamentals of using IBM SPSS Modeler.

GK# 4931

Course Overview

This course provides an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of data mining are illustrated using the CRISP-DM methodology. The course structure follows the stages of a typical data mining project, from collecting data, to data exploration, data transformation, and modeling to effective interpretation of the results. The course provides training in the basics of how to read, prepare, and explore data with IBM SPSS Modeler, and introduces you to modeling.

 

Delivery Format Options

  • Classroom Live

    Classroom Live

    Receive face-to-face instruction at one of our training center locations.

    From

    $1595 CAD

    2 day

  • Virtual Classroom Live

    Virtual Classroom Live

    Experience expert-led online training from the convenience of your home, office or anywhere with an Internet connection.

    From

    $1595 CAD

    2 day

  • Self-Paced

    Self-Paced

    Recordings, hands-on labs and expert instructors empower you to train on your own schedule.

    From

    $720 CAD

    1 session

  • Private Group Training

    Private Group Training

    Train your entire team in a private, coordinated professional development session at the location of your choice.

    Receive private training for teams online and in-person.

Request a date or location for this course.

What You'll Learn

  • Introduction to data mining
  • Working with IBM SPSS Modeler
  • Creating a data-mining project
  • Collecting initial data
  • Understanding the data
  • Setting the unit of analysis
  • Integrating data
  • Deriving and reclassifying fields
  • Identifying relationships
  • Introduction to modeling

 

Prerequisites

  • General computer literacy

 

Who Needs To Attend

  • Individuals wanting to familiarize themselves with IBM SPSS Modeler

 

Course Outline

Download Course Outline