Welcome
The EURIDICE DataLab teaches practical data skills the way they are actually used: by writing and running code against real datasets, with instant feedback. It is built and maintained by IIIM (Icelandic Institute for Intelligent Machines) as part of the EU-funded EURIDICE project.
Who is this for?
Section titled “Who is this for?”Working professionals and students without prior programming experience who want hands-on skills in exploratory data analysis, data science and machine learning. If you can use a spreadsheet, you can start here.
How learning works
Section titled “How learning works”Every lesson page embeds a live notebook — a mix of explanation and code cells you run yourself with Shift + Enter. You can edit anything and re-run it; experimenting is the point. Your changes are kept in your browser, and the ↺ Reset this notebook button under every notebook restores the original — so you can never break it permanently.
Graded exercises give you instant feedback: store your answer in a variable, run the check, and you immediately see ✅ or ❌ plus a hint.
The tracks
Section titled “The tracks”| Track | What you’ll be able to do | Time |
|---|---|---|
| 1 · Python & Data Foundations | Run notebooks, choose the right chart, diagnose missing data | ~3 h |
| 2 · Exploratory Data Analysis | Load, clean, summarise and visualise a real dataset — and know how sure you can be | ~3 h |
| 3 · Machine Learning Fundamentals | Train, compare and audit models; write a model card; export your portfolio | ~5 h |
Work through them in order if you’re new; jump straight to a track if you’re not.
If a lesson moves too fast, the Learn more page collects free guides for Python basics, pandas, charts and fairness — keep it open in a second tab.
Ready? Start with Track 1 — Your first notebook.
Co-funded by the European Union under the Digital Europe Programme — projectEURIDICE, Grant Agreement No. 101123121. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
Built by IIIM — Icelandic Institute for Intelligent Machines. Learning materials are licensedCC BY 4.0.