Understand the fundamental concepts of data architecture and principles of data modeling, including entities, attributes, relationships, and keys.

Understand the various types of data models, including conceptual models, logical models, and physical models.

Be able to choose the appropriate data model for a given situation.

Be able to analyze and design a database using the Entity-Relationship (ER) data model.

Know how to transform a conceptual data model into a logical data model using normalization.

Understand the principles of data modeling and database design to create a well-designed database.

Know how to use data modeling tools, such as ER (Entity Relationship) diagrams and data modeling software, to create and document data models.

Be able to communicate effectively about data modeling concepts and designs with both technical and non-technical audiences.