Learning Data Modeling (Udemy.com)

Michael Blaha built this course for developers and IT pros who already know the basics and want a formal grounding in data modeling theory, not a beginner's first database class. Across 7.9 hours it walks through UML data models, translating them into IE models, model quality, database design, and builds toward SQL Server and Microsoft Access databases. The course last got an update in 2017, and a few reviewers note the Erwin tooling shown has since changed a lot. Treat it as a concepts course with software demos attached, not a hands-on lab.

Reviewers consistently call the content deep and well organized; one says it filled knowledge gaps other courses missed, and others treat it as a solid refresher for material they'd learned before. The complaints cluster around delivery: Blaha's tone reads as monotone to a lot of students, one reviewer says he sounds like he's reading from a screen, and another notes his accent takes some adjusting to. Pace draws mixed reactions too, some want it to move faster past basics, others find it rushes through advanced sections. A handful wish for more hands-on exercises instead of watching the instructor click through Erwin and other modeling tools.

At 549 reviews and a 4.0 average, it holds up as a solid reference rather than an exciting watch. If a viewer already writes SQL and wants a structured pass through modeling theory, and can tolerate a dry lecture style, the content earns its place. Anyone chasing project-based practice or current Erwin workflows should look elsewhere first.