Live Chat
Monday - Friday 8am - 6pm EST Chat Now
Contact Us
Monday - Friday 8am - 8pm EST 1-866-716-6688 Other Contact Options

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:


Advanced Data Preparation using IBM SPSS Modeler (v18)

Learn advanced topics to aid in the preparation of data for a successful data mining project using IBM SPSS Modeler v18.0.

GK# 5285 Vendor# 0A057G

$360 - $895 USD

Enroll Request Group Training

Course Overview


This course covers advanced topics to aid in the preparation of data for a successful data mining project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.


  • Delivery Format:
  • Date:
  • Location:
  • Access Period:


What You'll Learn

  1. Cleansing and Enriching Data
  2. Field Transformations
  3. Sequencing Data
  4. Sampling, Partitioning and Balancing Data
  5. How to Improve Efficiency 

Note: While class exercises are performed within a SPSS Modeler v24 environment, our expert instructors can provide guidance on all previous versions and their differences


Viewing outline for:

Classroom Live Outline

1. Using Functions to Cleanse and Enrich Data

  • Use date functions
  • Use conversion functions
  • Use string functions
  • Use statistical functions
  • Use missing value functions

2. Using Additional Field Transformations

  • Replace values with the Filler node
  • Recode continuous fields with the Binning node
  • Change a field’s distribution with the Transform node

3. Working with Sequence Data

  • Use cross-record functions
  • Count an event across records
  • Expand a continuous field into a series of continuous fields with the Restructure node
  • Use geospatial and time data with the Space-Time-Boxes node

4. Sampling, Partitioning and Balancing Data

  • Draw simple and complex samples with the Sample node
  • Create a training set and testing set with the Partition node
  • Reduce or boost the number of records with the Balance node

5. Improving Efficiency

  • Use database scalability by SQL pushback
  • Process outliers and missing values with the Data Audit node
  • Use the Set Globals node
  • Use parameters
  • Use looping and conditional execution


  • General computer literacy
  • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling

Who Should Attend


Individuals who want to become familiar with the full range of techniques available in IBM SPSS Modeler for data manipulation.

Training Exclusives

This course comes with the following benefits: 

  • Digital courseware
  • 90 Days Bonus Access to IBM Hands-on Labs
  • 12 Months of Indexed Virtual Class Recordings
Learn More
Course Delivery

This course is available in the following formats:


Train at your own pace with 24/7 access to courses that help you acquire must-have technology skills.

Classroom Live

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

Duration: 1 day

Virtual Classroom Live

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

Duration: 1 day

Request this course in a different delivery format.