NorStudy

⚙ Before You Start

Each lab is a Jupyter Notebook, run inside this project's published Docker lab image so every student runs the exact same isolated environment — no local Python/CLI setup, and no need to clone the source repository.

⚠ Your project, your bill. The labs create real, billable resources in a Google Cloud project you own and pay for. NorStudy never has access to it and never pays for it. Before your first lab: use a throwaway project, set a Cloud Billing budget with alerts on its billing account, and run every lab's Cleanup step when you finish. Some resources keep charging until you delete them — the slot reservation in anal-003 bills about $3 an hour just for existing, and the Airflow environment in ops-005 runs to roughly $500 a month if you walk away from it. If you are not certain everything was deleted, delete the whole project — it is the only complete cleanup. This is covered in the Terms of Service.

0
Pull the lab image (~500MB, one time only — grab a coffee):
docker pull norstudy/norstudy:v1.0.2
1
Create a local user-labs folder, then start the container from it — run this in PowerShell or Git Bash, not Command Prompt (cmd.exe doesn't understand ${PWD} and will fail with a "invalid characters for a local volume name" error):
docker run -d --name gcp-lab -p 127.0.0.1:8888:8888 -p 127.0.0.1:8080:8080 -v ${PWD}/user-labs:/workspace -v gcloud-config:/root/.config/gcloud norstudy/norstudy:v1.0.2
2
Get the Jupyter URL+token: docker logs gcp-lab (copy the http://127.0.0.1:8888/lab?token=... line)
3
Open that URL once in the same browser you're using for this site — this authorizes your browser for localhost:8888 for the rest of the session
4
Auth inside the container:
docker exec -it gcp-lab gcloud auth login --no-launch-browser
5
Click a lab card below, then "Download Notebook" — save it into your local user-labs folder. Notebook downloads follow the same access as the guide: the free lab needs no account, the 3 free-preview labs need a free account, and the rest come with a subscription
6
Click "Open in Jupyter Notebook" — it opens directly from user-labs

Data Ingestion

Domain 1 5 labs

Data Processing

Domain 2 5 labs

Data Storage

Domain 3 5 labs

Analytics

Domain 4 5 labs

Operations

Domain 5 5 labs

Security & Compliance

Domain 6 5 labs

Machine Learning

Domain 7 5 labs