Course Outline

Introduction

  • Overview of advanced analytics and data mining
  • Overview of CRISP-DM
  • Understanding the Modeler UI
  • Understanding the mechanics of building streams

Understanding Data

  • Reading data into Modeler
  • Measurement level and field roles
  • Using the data audit node

Data Preparation

  • Selecting cases
  • Reclassifying categorical values
  • Using append node and merge node
  • Deriving fields

Modeling

  • Overview of modeling
  • Using a partition node
  • Building a CHAID model
  • Model assessment

Evaluation and Deployment

  • Using analysis and evaluation node
  • Scoring new data and exporting
  • Using flat file node

Troubleshooting

Summary and Next Steps

Requirements

  • No data mining background needed

Audience

  • Data analysts
  • Anyone who wants to learn about SPSS Modeler
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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