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Data Modeling Fundamentals

Defend why we do data modeling, build simple and precise data models, identify entities, attributes, relationships, and keys, and apply the right modeling...

By Steve Hoberman on Coursera

About This Course

Defend why we do data modeling, build simple and precise data models, identify entities, attributes, relationships, and keys, and apply the right modeling settings (scope, focus, filter, timer, and mode) for the right situation. Understand how data modeling fits with Agile, with related disciplines, and with real business work. This course helps learners build a strong foundation in data modeling from the ground up. You will learn what data modeling is, why it matters, and how to use it to improve communication between business and technical teams. Along the way, you will practice turning ambiguous requirements into precise structures, asking better questions, and making smarter design choices. What makes this course unique is its balance of completeness with practicality. It does not stay at the theory level. It uses examples, exercises, and business situations to make it easy for you to apply the techniques to your projects. It also presents data modeling as both a business skill and a technical skill. Learners finish the course with a clear framework, useful techniques, and a stronger ability to create simple, precise, and useful models. This is a course for people who want to add data modeling to their skill set and become competent data modelers.

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Frequently Asked Questions

How much does Data Modeling Fundamentals cost?

Visit the Data Modeling Fundamentals course page for current pricing and available discounts.

Who teaches Data Modeling Fundamentals?

Data Modeling Fundamentals is taught by Steve Hoberman, Technics Publications.

What skill level is Data Modeling Fundamentals for?

This course is designed for beginner learners.

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Students0
DurationSelf-paced
LevelBeginner
Languageen
PlatformCoursera