Gain a clear understanding of relational database structure and data modelling. Our course introduces key concepts such as entity relationship diagrams, data normalisation and relational schemas, helping you design structured databases that support system development, data analysis and integration across business and technical environments.
Relational Databases & Data Modelling Overview
Design structured data models and strengthen your database skills
Build your knowledge of relational database principles and the logic behind data modelling techniques. By the end of the course, you’ll be able to create entity relationship diagrams, normalise data into structured formats and interpret relational schemas. These skills are valuable for developers, analysts and technical professionals working with data-driven systems.
Learning objectives
- Understand the role and function of Database Management Systems
- Identify entities, attributes and relationships within data structures
- Construct and analyse entity relationship diagrams
- Apply normalisation rules to structure data up to third normal form
- Translate conceptual models into relational schemas
- Define constraints such as primary and foreign keys
- Explore the concept of views and denormalisation strategies
- Use simple SQL statements to query and update relational data
What you’ll learn
Learn how to model and structure data for relational databases. Over two-days, our course covers entity relationship diagrams, data normalisation, relational schemas and basic SQL. You will also explore database constraints, views and denormalisation techniques, building a strong foundation in relational database design for technical and analytical roles.
Introduction to relational databases
Gain an understanding of the database approach and the advantages of relational systems. You will explore the role of Database Management Systems (DBMS) and how they operate across processing, schema and storage architectures. This course also provides an overview of database system development and the logic that supports relational structures.
Conceptual data models
Learn the core principles of entity modelling. You will identify entities, attributes and the relationships between them, and practise constructing accurate entity relationship diagrams. You will also explore complex relationships such as many-to-many, sub-type/super-type, arc and recursive relationships, and learn how constraints and assumptions affect model accuracy.
Data normalisation
Understand how to structure data efficiently using normalisation techniques. You will progress through first, second and third normal form (1NF, 2NF, 3NF), learning how to improve data integrity and reduce redundancy. These concepts are reinforced through exercises that guide you in creating table specifications and supporting data models.
Relational schema design
Translate your data models into logical relational schemas. You will learn to define candidate keys, primary keys and foreign keys, and apply necessary attribute and data constraints. You’ll also cover how to model sub-type and super-type relationships, and introduces views, derived data and other concepts used in relational database design.
What’s included
- Two-days of instructor-led training in a live virtual classroom
- Interactive hands-on live labs
- All relevant course materials
Key facts
Ideal for
Analysts, developers, technical leads, and programmers working with relational databases or SQL-based systems.
Prerequisites
Familiarity with basic IT terminology is expected. No prior experience with databases or data modelling is required.
Learning experience
Our experienced trainers and interactive labs create a focused, practical environment – so you can put theory into practice from day one.
FAQs
Our course offers a clear introduction to relational database principles, data modelling techniques and schema design. It is ideal for learners seeking to build a foundation in structured data management and prepare for more technical development or analytics roles.
Will this course help me prepare for more advanced SQL training?
Yes. The course introduces relational database structures and essential SQL syntax, creating a strong foundation for more advanced training. Understanding these core principles will make it easier to grasp complex topics such as joins, subqueries and platform-specific functions in systems like Oracle or Microsoft SQL Server.
Do I need to know how to code before taking this course?
No prior coding experience is necessary. The course begins with foundational concepts and builds gradually. You will work through structured examples at a steady pace, making it suitable for those entering technical roles or exploring data-related responsibilities for the first time.
Will I learn how to create database diagrams?
Yes. You will complete guided exercises on how to create accurate entity relationship diagrams based on business requirements. This includes learning to visually represent entities, attributes and relationships which are key skills for helping you design and explain relational database structures.
How does data normalisation improve database design?
Normalisation reduces redundancy, supports data consistency and improves query performance. You will learn to apply the first, second and third normal forms (1NF, 2NF and 3NF) to produce logical and efficient data models. These methods are essential for creating scalable and maintainable databases in professional settings.
What our customers say
"Really informative course, structured to support all forms of learning and at a good pace.”
Owen, Graduate Trainee Engineer - Utilities
“John was very knowledgeable about the subject and clearly explained everything.”
Kimberley, Community Risk Reduction IT Systems - Fire
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