IBM SPSS Modeler: Getting Started

Learn how to do Data Mining using IBM SPSS Modeler.
3.4 (76 ratings)
Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
432 students enrolled
70% off
Take This Course
  • Lectures 22
  • Length 4 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works


Find online courses made by experts from around the world.


Take your courses with you and learn anywhere, anytime.


Learn and practice real-world skills and achieve your goals.

About This Course

Published 5/2014 English

Course Description

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: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. Each video consists of detailed instructions explaining why we are using a technique, in what situations it is used, how to set it up, and how to interpret the results. This course is broken up into phases. The Introduction to Data Mining Phase is designed to get you up to speed on the idea of data mining. You will also learn about the CRISP-DM methodology which will serve as a guide throughout the course and you will also learn how to navigate within Modeler. The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources. We will discuss how to read data into Modeler. We will also focus on describing, exploring, and assessing data quality. The Data Preparation Phase discusses how to integrate and construct data. While the Modeling Phase will focus on building a predictive model. The Evaluation Phase focuses how to take your data mining results so that you can achieve your business objectives. And finally the Deployment Phase allows you to do something with your findings.

What are the requirements?

  • This course is for anyone that would like to learn how to use IBM SPSS Modeler.
  • This course is for anyone that would like to learn how to do Data Mining.
  • No statistical or data mining background is necessary.

What am I going to get from this course?

  • Data Mining and Advanced Analytics Defined
  • Modeling Methods in Modeler
  • CRISP-DM Overview
  • General Modeler Orientation
  • Reading Data
  • Assessing Data Quality
  • Integrating Data
  • Constructing Data
  • Modeling
  • Evaluation
  • Deployment

Who is the target audience?

  • This course is for anyone that would like to learn how to use IBM SPSS Modeler.
  • This course is for anyone that would like to learn how to do Data Mining.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction to Data Mining
What is Advanced Analytics and Data Mining?
Modeling Methods
What is CRISP-DM?
Modeler's Workbench Design
General Modeler Orientation
Section 2: Data Understanding
Var. File Node
Excel Node
Type Node
Data Audit Node
Data Audit Node: Quality Tab
Section 3: Data Preparation
Derive Node: Formula
Derive Node: Flag
Derive Node: Nominal
Derive Node: Conditional
Append Node
Merge Node
Section 4: Modeling
Partition Node
Section 5: Evaluation
Analysis Node
Evaluation Node
Section 6: Deployment
Flat File Node

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Sandy Midili, Business Analytics Training Manager

I have been the Business Analytics Training Manager at QueBIT Consulting since 2006. I am a certified technical trainer and am certified in IBM Cognos products. I can assist you with coordinating a specific training program that will meet your organization's specific educational goals. In addition, I also provide training in:

  • IBM Cognos Business Intelligence
  • IBM Cognos TM1
  • IBM Cognos Planning
  • IBM Cognos Finance

QueBIT's training program is unique because we can tailor our material to your application and make sure we cover the concepts important to you and your personnel. We don't only teach you how to use the solution, but also guide you with proven best practices and tips and instruct you on how to problem solve issues enabling you to become self-sufficient with the tool.

Prior to joining QueBIT, I was a Financial Performance Instructor for Cognos Corporation. During my seven year tenure, I also became a third-level support specialist for Cognos Finance and Cognos Planning.

Ready to start learning?
Take This Course