Data science

Hi pinkuk,

I would start with the Get started with Microsoft Fabric learning path to understand workspaces, lakehouses, notebooks and the main Fabric experiences.

After that, I would move to the Data Science and Machine Learning learning path. It takes you through data exploration, model training, evaluation and MLflow inside Fabric.

For hands-on practice, the end-to-end Data Science tutorial is probably the best next step because it covers the full workflow from ingesting and cleaning data to training a model and presenting the results in Power BI.

A good first project could be:

• Customer churn prediction
• House-price prediction
• Student performance analysis

I would keep the first version small: load one dataset into a Lakehouse, explore it in a notebook, train one model, track it with MLflow and create a simple Power BI report from the results.

That will teach you much more than trying to study every Fabric feature before building anything.