Data scientists, engineers, and AI/ML specialists
In this first session, we covered the core principles of data modeling and its essential role in the biomedical and life sciences domains.
You can learn how data modeling serves as a communication aid and is the foundation for data interoperability and good data management in an organization.
What you'll learn:
- The basics of data modeling, including terminology like entities, attributes, and relationships
- Different levels of modeling: conceptual, logical, and physical
- Visual notations like ERD and UML
- Practical hands-on exercises using the online tool draw.io
