Full access to the Datalake C3 AI Convid-19 Data Lake offers all stored COVID-19 Datalake data while allowing the researcher
to researcher to use whatever analysis framework they so choose with their own compute resources. This level
offers level offers the fastest startup time while ensuring access to all data. Once you learn how to query data
in data in C3 AI Suite, that data can be streamed to your compute resources where you can use your language and
tools and tools of choice.
Pros:
- Full access to C3 DatalakeAI Convid-19 Data Lake.
- Ability to use any language and tools of your choosing.
Cons:
- C3 credentials and tenant/tag AI environment access required.
- All data must be streamed to your local compute resources.
Getting Started
Please see the DTI Readiness checklist.
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If you pass the checklist, you're ready to start learning!
Training Curriculum
Once you have completed the DTI Readiness checklist, you're ready to start learning.
These hands on resources give you an in-depth guide on how to start using the C3 AI Suite immediately followed by explicit examples showing how to use C3 AI documentation, Types, Timeseries, and Metrics. Each of these examples is grounded in the C3 AI Covid-19 Data Lake. Additionally, links to appropriate official C3 AI documentation and videos are provided throughout the quickstart guide.
- DTI C3 AI Suite Quickstart Guide
- This guide gives a quick hands-on introduction to how researchers can fetch and analyze data from the C3 AI Covid-19 Data Lake.
- Example Workflows
These C3 AI created materials give more information:
- C3 AI Getting Started Guide
- If you encounter any authentication problem, go to https://developer.c3.ai/ to login your C3 AI account.
Necessary Resources/Training:
If your research belongs in this category, reading and understanding the necessary training below is enough to get started.
- C3 Getting Started Guide
- Not all sections of the Getting Started Guide are necessary.
We list the necessary sections hereThe recommended sections are:- Introduction to C3 AI Suite
- Basics
- Understanding Clusters, Tenants, and Tags
- Model-driven Architecture
- Types
Fields and Methods
Type Inheritance
- Time Series Data Section
- Metrics Section
- Not all sections of the Getting Started Guide are necessary.
- DTI C3 Quickstart Guide
- This guide gives a quick hands-on introduction to how researchers can fetch and
analyze data from the C3 Datalake.
- This guide gives a quick hands-on introduction to how researchers can fetch and
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Additional Resources
Some users may find these additional resources helpful at this stage:
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- Cases example (C3 connector)
- Vaccine Listing example (C3 connector)
- Epidemiology example (C3 connector)
- Phylogenetic Tree (C3 connector) (PLANNED)
Challenge Problems
This set of problems exercises the concepts defined under the 'Level 2' header. You should be able
to able to solve these problems by fetching types, executing existing Metrics, and creating new Metrics, and may require
processing . These may require processing outside of the C3 AI platform, for instance , to produce plots.
- What is the age distribution of coronavirus patients? Does this vary by location?
- How does likelihood of death change with age and sex?
- Do coronavirus case reporters agree with each other on how many new cases a given US county or state have? How often do they disagree?
- Is there a seasonality to case reporting data? What period is it?
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