Data Modeling Course Overview

The Data Modeling course is designed to equip learners with the comprehensive skills needed to create effective logical data models, which are crucial for defining and analyzing data requirements. Through the course, participants will understand the fundamental principles and importance of data modeling in shaping system requirements and ensuring accuracy in database design.

Starting with an introduction to Logical data modeling, the course covers essential topics such as the Relationship between logical and physical data models, the elements that constitute a logical data model, and the process of developing one. As learners progress, they delve into project context and drivers, Conceptual data modeling, Identifying relationships, Managing attributes, and Advanced relationships.

The course also addresses more complex aspects such as Data normalization, the Application of supertypes and subtypes, and Ensuring data integrity. Practical lessons on Verification and validation of data models, including the Use of CASE tools, are provided to ensure technical accuracy and alignment with business requirements. This structured approach ensures that by the end of the course, participants are well-prepared to handle the intricacies of data modeling in various professional contexts, enhancing their data analysis and system design capabilities.