Model (2020.20)

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Welcome to this functional course covering the Model module. Model underpins much of Pyramid’s functionality, allowing for datasets to be imported and data sources to power visualizations and outputs.

This training is based on Pyramid 2020.20. In order to recreate the examples demonstrated, make sure to download and install the example data located here. This link also includes two downloadable PDF documents with information on how to install or update your Python environment, which you will need to access on walkthrough 2.

You will also need to make sure you have the most up to date Pandas package on your Python environment. You can find out how to do this here.

You will learn:

  • How to create a new model
  • Editing an existing model
  • Adding a new data source
  • Editing an existing data source
  • Incremental Data Loads
  • Model definitions and materialized content

Course Content

Unit 1: Getting started
Lesson 1: Creating a new model 3 Walkthroughs
Unit 2: Editing a model
Lesson 2: Time Intelligence & Machine Learning 3 Walkthroughs
Lesson 3: Configuring and processing a model 2 Walkthroughs
Unit 3: Adding data sources
Lesson 4: Adding additional data sources 2 Walkthroughs
Lesson 5: Column Operations 2 Walkthroughs
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Lesson 6: Data model configuration 2 Walkthroughs
Unit 4: Managing data sources
Lesson 7: Incremental Data Load 2 Walkthroughs
Lesson 8: Model definitions and materialized content 2 Walkthroughs
Unit 5: Modelling Techniques
Lesson 9: Modelling Techniques 1 Walkthrough
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