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Necessary Resources/Training:

If your research belongs in this category, reading and understanding the necessary training below is enough to get startedOnce you have completed the DTI Readiness checklist, you're ready to start learning. This first section of materials is background on how the C3 platform works.

• C3 Getting Started Guide
  • Not all sections of the Getting Started Guide are necessary.
    We list the necessary sections here:
    • Introduction to C3 AI Suite

    • Architecture

      • Basics
      • Understanding Clusters, Tenants, and Tags
      • Model-driven Architecture
        • Types

        • Fields and Methods

        • Type Inheritance

    • Time Series Data Section
    • Metrics Section

These hands on resources give you an in-depth guide on how to start using C3 immediately followed by explicit examples showing how to use C3 Documentation, Types, Timeseries, and Metrics. Each of these examples is grounded in the C3 Covid-19 Datalake.

• DTI C3 Quickstart Guide
  
  • This guide gives a quick hands-on introduction to how researchers can fetch and analyze data from the C3 Datalake.

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• c3python module for easy python interactivity
• DTI Guide to utilizing C3 Documentation

• Example Workflows
  • Cases example (C3 connector)
  • Vaccine Listing example (C3 connector)
  • Epidemiology example (C3 connector)
  • Phylogenetic Tree (C3 connector)

Optional Resources/Training:

Some users may find these additional resources helpful at this stage.

• c3python module for easy python interactivity
• DTI Guide to utilizing C3 Documentation

Challenge Problems

This set of problems exercises the concepts defined under the 'Level 2' header. You should be able to solve these problems by fetching types, executing existing Metrics, creating new Metrics, and may require processing outside of the C3 platform for instance, to produce plots.

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