This is a mentor-led, application-focused data modelling program for professionals who already understand basic data concepts and want to apply modelling confidently in real-world scenarios.
The course focuses on conceptual, ER, and dimensional modelling, with structured exercises and regular model reviews. Emphasis is placed on design decisions, business alignment, and modelling judgement, rather than tool-specific training. Advanced modelling approaches such as Data Vault 2.0, graph modelling, and NoSQL modelling are introduced at an awareness level to provide industry context.
Who This Course Is For
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Data Analysts, Data Engineers, and BI professionals
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Professionals with prior experience working with data
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Learners who understand modelling basics but want deeper practical clarity
(Not suitable for complete beginners.)
Course Format
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Mode: 1:1 Guided Mentorship
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Duration: 18 sessions (1 hour each)
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Tool: draw.io (free visual modelling tool)
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Approach: Exercise-based learning with detailed reviews
What You Will Learn
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Build conceptual and logical ER models from business scenarios
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Apply normalisation correctly in ER modelling
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Design dimensional models with correct facts, dimensions, and grain
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Create star and snowflake schemas for analytics
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Understand semantic layers and advanced modelling concepts
📘 Workshop Resources
Participants receive:
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Mentor Guidance on resume modification
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Further Read
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Course Completion Certificate
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Slide Deck used in this course (PDF)