Cloud & Tools for Data Science — Data Science Roadmap
The practical environment a modern data scientist works in day to day
Steps in Cloud & Tools for Data Science
- Cloud Platforms for Data Science (AWS/GCP/Azure) — intermediate · What each major cloud provider offers for storage, compute and managed data science tools
- Jupyter, Colab & Notebook Environments — intermediate · Choosing and configuring the right interactive environment for a project
- Data Science Project Structure — intermediate · Organizing data, notebooks, scripts and outputs so a project doesn't become an unmanageable mess
- Environment & Dependency Management — intermediate · Keeping a project's dependencies reproducible across machines and collaborators
Part of
- Data Science roadmap — the full learning path