Databases for Data Scientists

Overview

Databases for Data Scientists, from the University of Colorado Boulder, fills a gap many data science courses skip: how to actually design and build the databases that data science work depends on. It covers relational database theory, data modeling, and dependency analysis, teaching learners to design efficient, well-structured database systems rather than just query existing ones. With over 25,000 learners, it's a solid foundational pick for anyone whose data science work needs to start with sound data architecture.

Who it's for

Aspiring or working data scientists and analysts who need database design skills — not just SQL querying, but building the schema itself.

Key skills

• Relational database design and data modeling
• Database management systems and theory
• Dependency analysis and normalization
• Diagram design for database systems