🧙🔮 Welcome to Advanced Analytics Workspace (AAW)

Please find below additional information, videos and links to help better understand how to get started with Advanced Analytics Workspace (AAW).

Advanced Analytics Workspace (AAW) is our open source platform for data science and machine learning (ML) for advanced practitioners to get their work done in an unrestricted environment made by data scientists for data scientists. With AAW, you can customize your notebook deployments to suit your data science needs. We also have a small number of expertly crafted images made by our expert data science team.

AAW is based on the Kubeflow project which is an open source comprehensive solution for deploying and managing end-to-end ML workflows. Kubeflow is designed to make deployments of ML workflows on Kubernetes simple, portable and scalable.

🔔 Important! Users external to Statistics Canada will require a cloud account granted access by the business sponsor.

🔔 Important! Users internal to Statistics Canada can get started right away without any additional sign up procedures, just head to https://kubeflow.aaw.cloud.statcan.ca/.

🔗 Helpful Links

🛎️ AAW Services

• 🌀 AAW Portal Homepage
  • Internal Only https://www.statcan.gc.ca/data-analytics-service/aaw
  • Internal/External https://www.statcan.gc.ca/data-analytics-service/aaw

• 🤖 Kubeflow Dashboard
  • https://kubeflow.aaw.cloud.statcan.ca/

💡 Help

• 📗 AAW Portal Documentation
  • https://statcan.github.io/aaw/
• 📘 Kubeflow Documentation
  • https://www.kubeflow.org/docs/
• 🤝 Slack Support Channel
  • https://statcan-aaw.slack.com

🧭 Getting Started

In order to access the AAW services, you will need to:

1. Login to Kubeflow with your StatCan guest cloud account. You will be prompted to authenticate the account.
2. Select Notebook Servers.
3. Click the "➕ New Server" button.

🧰 Tools Offered

AAW is a flexible platform for data analysis and machine learning, featuring:

- 📜 Languages - 🐍 Python - 📈 R - 👩‍🔬 Julia - 🧮 Development environments - VS Code - R Studio - Jupyter Notebooks - 🐧 Linux virtual desktops for additional tools (🧫 OpenM++, 🌏 QGIS etc.)

🐱 Demos

If you would like a quick Onboarding Demo session or require any help or have any questions, please do not hesitate to reach out through our 🤝 Slack Support Channel.

FAQ

• Frequently Asked Questions are located here.

Thank you!