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0A007G – Introduction to IBM SPSS Modeler and Data Mining

Home / 0A007G – Introduction to IBM SPSS Modeler and Data Mining

This course provides an overview of data mining and the fundamentals of using IBM SPSS Modeler (v18). 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 the student to modeling.

Course Length: 2 day(s)

Course Price: $1400 CAD

Available Course Formats:

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom

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Course: 0A007G – Introduction to IBM SPSS Modeler and Data Mining

Introduction to data mining

  • List two applications of data mining
  • Explain the stages of the CRISP-DM process model
  • Describe successful data-mining projects and the reasons why projects fail
  • Describe the skills needed for data mining

Working with IBM SPSS Modeler

  • Describe the MODELER user-interface
  • Work with nodes
  • Run a stream or a part of a stream
  • Open and save a stream
  • Use the online Help

Creating a data-mining project

  • Explain the basic framework of a data-mining project
  • Build a model
  • Deploy a model

Collecting initial data

  • Explain the concepts "data structure", "unit of analysis", "field storage" and "field measurement level"
  • Import Microsoft Excel files
  • Import IBM SPSS Statistics files
  • Import text files
  • Import from databases
  • Export data to various formats

Understanding the data

  • Audit the data
  • Explain how to check for invalid values
  • Take action for invalid values
  • Explain how to define blanks

Setting the unit of analysis

  • Set the unit of analysis by removing duplicate records
  • Set the unit of analysis by aggregating records
  • Set the unit of analysis by expanding a categorical field into a series of flag fields

Integrating data

  • Integrate data by appending records from multiple datasets
  • Integrate data by merging fields from multiple datasets
  • Sample records

Deriving and reclassifying fields

  • Use the Control Language for Expression Manipulation (CLEM)
  • Derive new fields
  • Reclassify field values

Identifying relationships

  • Examine the relationship between two categorical fields
  • Examine the relationship between a categorical field and a continuous field
  • Examine the relationship between two continuous fields

Introduction to modeling

  • List three modeling objectives
  • Use a classification model
  • Use a segmentation model

Audience 

Anyone who wants to become familiar with IBM SPSS Modeler

Prerequisites

General computer literacy.

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.