IBM SPSS Modeler: Getting Started
4.2 (205 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
819 students enrolled

IBM SPSS Modeler: Getting Started

Learn how to do Data Mining using IBM SPSS Modeler.
4.2 (205 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
819 students enrolled
Created by Sandy Midili
Last updated 5/2014
English
English [Auto-generated]
Current price: $11.99 Original price: $49.99 Discount: 76% off
3 days left at this price!
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This course includes
  • 4 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • 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
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.
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.

Who this course is for:
  • 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.
Course content
Expand all 22 lectures 04:09:20
+ Data Understanding
5 lectures 01:00:36
Var. File Node
05:47
Excel Node
04:10
Type Node
17:16
Data Audit Node
11:11
Data Audit Node: Quality Tab
22:12
+ Data Preparation
6 lectures 38:40
Derive Node: Formula
04:32
Derive Node: Flag
03:19
Derive Node: Nominal
07:28
Derive Node: Conditional
04:46
Append Node
07:37
+ Modeling
3 lectures 27:27
Partition Node
04:31
CHAID
07:08
CHAID Demo
15:48
+ Evaluation
2 lectures 36:10
Analysis Node
15:16
Evaluation Node
20:54