Data Modeling and Relational Database Design using ERwin

Data Modeling and Relational Database Design using ERwin – Course Overview

Master the art of designing structured, scalable, and efficient databases with this in-depth course on Data Modeling and Relational Database Design using ERwin Data Modeler. This course equips students, analysts, and IT professionals with the skills needed to model real-world business data and translate it into optimized database structures.

From conceptual design to logical and physical models, learners will gain practical experience in building relational database schemas, understanding normalization, and using ERwin — a leading industry-standard modeling tool.

What You’ll Learn:

• 🧠 Fundamentals of Data Modeling: Understand concepts like entities, attributes, relationships, and constraints.

• 📐 Conceptual, Logical & Physical Modeling: Learn the layered approach to effective database design.

• 🧱 Relational Database Principles: Grasp normalization, keys, dependencies, and schema refinement.

• 🛠️ Using ERwin Data Modeler: Create, modify, and manage data models using ERwin’s full feature set.

• 🔄 Forward & Reverse Engineering: Generate databases from models and models from existing databases.

• 📋 Documenting & Validating Models: Ensure design quality, consistency, and compliance with business rules.

Who This Course Is For:

• Aspiring database designers and data analysts

• Students and IT professionals in data-related roles

• Business analysts working with data systems

• Project managers and decision-makers seeking technical design clarity

Course Features:

• Step-by-step ERwin tool training

• Real-world case studies and examples

• Practice exercises and model-building tasks

• Downloadable resources and templates

• Certificate of completion

Design smarter databases, avoid design flaws, and elevate your data architecture skills with ERwin!