
Data models are more than diagrams, they are essential tools that bridge business needs and technical implementation, helping teams clarify complex information and make informed decisions. Structured representations, from business information models to relational and alternative paradigms such as dimensional, object-oriented, and graph-based approaches, make data understandable and actionable. This course, instructed by Michel Hebert, explores how these models support decision-making, improve collaboration, and reduce ambiguity through practical examples and exercises.
Providing hands-on guidance in creating and interpreting business information models, the course helps learners translate these models into logical and physical structures while applying principles such as normalization and keys. Exploring schema-less databases, NoSQL approaches, and unified modeling frameworks, participants gain the skills to select the most appropriate modeling approach for different business contexts and communicate data effectively across teams.
Course Highlights
Pricing and Credits
By the End of This Course, You’ll Be Able To:
Why Take This Course?
This course provides practical skills to represent and communicate complex data clearly. Learners gain the ability to model information that improves understanding, governance, and collaboration across the organization.
Is This Course Right for You or Your Team?
This course is ideal for:
No technical experience is required. This course is designed for business-focused professionals looking to build core competency in representing, interpreting, and communicating data through practical modeling techniques.
This Course Includes: