Data Modelling and Design Course Overview

The Data Modelling and Design course provides a comprehensive foundation for understanding and creating effective data models, which are crucial for developing robust databases and information systems. In Module 1, learners are introduced to the concept of modeling, exploring the reasons for modeling, project phases, model transitions, and function model terminology. This sets the stage for practical applications in data design.

Module 2 dives into creating the Entity-Relationship Model, a cornerstone of data modeling that helps define the structure of data and its interrelationships. Through lessons on identifying entities and relationships, as well as understanding relationship types and unique identifiers, students will learn how to create detailed and accurate ER models.

In Module 3, the course explores Normalization, a process vital for reducing redundancy and improving data integrity within databases. Learners will gain insights into Relational Database Principles and the transition from 0NF to 1NF, equipping them with the skills necessary to structure data efficiently.

Finally, Module 4 guides learners through the stages of Design and Implement Data Models, covering the transitions from analysis to design, from entities to tables, and the implementation of subtypes and supertypes. This includes lessons on denormalization and the transition of entity models to Unified Modeling Language (UML) class models.

Overall, this course will help learners master the art of creating structured, efficient, and maintainable data models, an essential skill in the field of data management and database design.