IBM SPSS Modeler Essentials [Video]

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IBM SPSS Modeler Essentials [Video]

Jesus Salcedo, Keith McCormick

Master various techniques in IBM SPSS Modeler to perform efficient analytics on your data

Quick links: > What will you learn?> Table of content

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Video Details

ISBN 139781787286924
Course Length2 hours 41 minutes

Video Description

IBM SPSS Modeler enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly, allowing your organization to base its decisions purely on the insights obtained from your data.

With the help of this course, you'll follow the industry-standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. You will be acquainted with the best methods for building models that will perform well in your workplace.

Go beyond the basics and get the full power of your data mining workbench using IBM SPSS Modeler with this handy tutorial.

Style and Approach

This video takes a detailed, step-by-step approach to data mining with IBM SPSS Modeler, from business and data understanding to data preparation, modeling, evaluation, and deployment. Every topic is explained comprehensively, and supported with adequate tips and tricks.

Table of Contents

Exploring Data Mining and Modeler
The Course Overview
Introduction to Data Mining and CRISP-DM Overview
Introducing the Modeler User Interface
Organizing Your Work and Using Help
The Mechanics of Building Streams
Importing Data and Assessing Data Quality
Reading Data into Modeler
Measurement Level and Field Roles
Using the Data Audit Node
Data Preparation
Selecting Cases
Reclassifying Categorical Values
Appending and Merging Files
Deriving Fields
Digging into Modeling
Modeling Overview
Building a CHAID Model
Model Assessment (Including Analysis Node)
Evaluation and Deployment
Evaluation Node
Scoring New Data and Exporting

What You Will Learn

  • Learn about data mining and the CRISP-DM process model
  • Become familiar with the IBM SPSS Modeler User Interface
  • Import data into the Modeler and assess data quality
  • Select the appropriate data and combine data files
  • Develop models and learn how to interpret results
  • Evaluate your data models efficiently
  • Deploy data models to production

Authors

Table of Contents

Exploring Data Mining and Modeler
The Course Overview
Introduction to Data Mining and CRISP-DM Overview
Introducing the Modeler User Interface
Organizing Your Work and Using Help
The Mechanics of Building Streams
Importing Data and Assessing Data Quality
Reading Data into Modeler
Measurement Level and Field Roles
Using the Data Audit Node
Data Preparation
Selecting Cases
Reclassifying Categorical Values
Appending and Merging Files
Deriving Fields
Digging into Modeling
Modeling Overview
Building a CHAID Model
Model Assessment (Including Analysis Node)
Evaluation and Deployment
Evaluation Node
Scoring New Data and Exporting

Video Details

ISBN 139781787286924
Course Length2 hours 41 minutes
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