Data Modeling and Database Architecture Fundamentals

A solid data model is the backbone of every reliable database and scalable application. Understanding how entities, attributes, and relationships connect enables you to design clean database schemas that prevent data anomalies and support efficient querying. This text-based course introduces you to the core principles of data architecture, conceptual modeling, and relational design. You will start with foundational terminology and progress step by step into analyzing real-world data requirements and structuring normalized schemas. What you'll learn: Understand fundamental data modeling definitions, architecture principles, and core design standards. Analyze requirements to identify entities, primary keys, foreign keys, and cardinalities. Apply systematic normalization rules to eliminate redundancy and maintain data integrity. Compare conceptual, logical, and physical data modeling phases in modern workflows. Evaluate design trade-offs between strict normalization and analytical performance optimization. Practice reading and constructing entity-relationship structures using standard notation. The course begins with essential concepts before guiding you through structured analytical exercises and design patterns. Designed for beginners, aspiring data analysts, and software developers, this course requires no prior database design experience. Start reading today to build practical competence in data modeling and database architecture.