Course Outline

Introduction

  • Overview of Advanced Analytics and Data Mining for Government
  • Overview of the CRISP-DM Methodology for Government Applications
  • Understanding the Modeler User Interface for Government Use
  • Understanding the Mechanics of Building Streams for Government Projects

Understanding Data

  • Reading Data into Modeler for Government Analysis
  • Measurement Level and Field Roles in Government Datasets
  • Using the Data Audit Node for Government Data Quality Assurance

Data Preparation

  • Selecting Cases for Government Analysis
  • Reclassifying Categorical Values in Government Datasets
  • Using the Append Node and Merge Node for Government Data Integration
  • Deriving Fields for Enhanced Government Data Analysis

Modeling

  • Overview of Modeling Techniques for Government Applications
  • Using a Partition Node for Government Data Segmentation
  • Building a CHAID Model for Government Decision Support
  • Assessing Models for Government Use

Evaluation and Deployment

  • Using Analysis and Evaluation Nodes for Government Model Validation
  • Scoring New Data and Exporting Results for Government Operations
  • Using the Flat File Node for Government Data Export

Troubleshooting

Summary and Next Steps

Requirements

  • No prior data mining experience required

Audience

  • Data analysts for government and other sectors
  • Individuals interested in learning about SPSS Modeler
 14 Hours

Number of participants


Price per participant

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