Relational Database Design and Implementation 2026

Name: Relational Database Design and Implementation 2026
Rating: 4.5 (7 reviews)

Relational Database Design and Implementation with SQL Server

Created byEmar Morrison

Last updated 7/2026

English

What you'll learn

Understand the fundamental concepts of databases, data models, and their importance.
Design and create relational databases using Entity-Relationship Diagrams (ERD).
Normalize and optimize database structures to ensure data integrity and performance.
Write SQL queries to retrieve, update, and manipulate data in a database.
Apply database design principles to real-world scenarios and projects.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

10 sections • 52 lectures • 3h 1m total length

Introduction1:33
Course Objectives0:16

Overview0:20
What is an ERD Diagram2:13
In this lesson, you will learn about ERD diagrams.
Conceptual Modelling1:26
In this lesson, you will learn about conceptual modelling.
Entities5:24
In this lesson, you will learn about entities.
Attributes4:48
In this lesson, you will understand what attributes are and how to identify them.
Relationships10:13
In this lesson, you will learn about the different types of database relationships.

Overview0:39
What is the Relational Model1:46
In this lesson, students will understand the relational model.
ERD to Relational Notation5:09
Students will learn how to convert ERD to relation notation.
ERD to Relational Notation Part 21:38
Students will learn how to convert ERD to relation notation.
Relational Keys6:35
After completing this lesson, students will understand the different relational keys.
Type of Integrity Rules3:00

Overview0:13
What is normalization?4:55
Normalization: First Normal Form 1NF3:48
Normalization: Second Normal Form 2NF6:06
Normalization: Third Normal Form 3NF3:03
Boyce-Codd Normal Form0:39
The Boyce-Codd Normal Form (BCNF) is a higher level of database normalization used in database design to reduce redundancy and improve data integrity. It's an extension of the third normal form (3NF), addressing certain types of anomalies that 3NF doesn't cover.

In BCNF, for every non-trivial functional dependency X→Y, where X is a superkey, Y is a prime attribute, meaning it's part of a candidate key.
To achieve BCNF, a relation (table) must satisfy the following conditions:
It should already be in 3NF.
For every functional dependency X→Y, X must be a superkey.
The primary difference between BCNF and 3NF lies in how they handle certain types of functional dependencies. While 3NF deals with transitive dependencies, BCNF takes it a step further by eliminating dependencies where the determinant (the attribute that determines another attribute) isn't a superkey.
Designing a database to conform to BCNF ensures data integrity and minimizes anomalies when inserting, updating, or deleting records.
Section Summary0:43

Requirements

No experience required
A Laptop/desktop with at-least 8GBs of RAM and 10GB free hard disks space

Description

In today's data-driven world, effective database design is a critical skill for professionals across a range of disciplines, including software development, data analysis, business intelligence, and more. The "Database Design and Management" course is designed to provide students with a comprehensive understanding of the principles, methodologies, and best practices of creating and managing databases.

Course Objectives:

By the end of this course, students will:

Understand Database Fundamentals: Gain a solid grasp of what databases are, why they are essential, and the various types of databases in use today.
Master Data Modeling: Learn how to design databases using Entity-Relationship Diagrams (ERDs) and translate real-world scenarios into structured data models.
Normalization and Optimization: Explore the art of normalizing data to minimize redundancy and optimize database performance.
SQL Proficiency: Acquire proficiency in Structured Query Language (SQL) to interact with and manipulate data in relational databases.
Real-World Application: Apply database design principles to practical, real-world scenarios and projects, gaining hands-on experience.

This course is ideal for:

Computer science students seeking a strong foundation in database design.
IT professionals, including database administrators and developers, looking to enhance their skills.
Data analysts and scientists who require a deeper understanding of database systems.
Business professionals interested in using data for decision-making.
Anyone looking to leverage the power of databases in their careers or projects.

Prerequisites:

Basic computer literacy and familiarity with data concepts are recommended but not required. No prior database design experience is necessary.

Who this course is for:

People considering a career change into a field that requires database knowledge and skills
Undergraduate or graduate students majoring in computer science, software engineering, or related fields.
IT professionals looking to expand their knowledge and skills in database design
Individuals working with data analysis or data science who need to understand how databases are structured
Individuals who have a general interest in data management and want to understand how databases work
Business analysts who want to understand how data is stored and retrieved for reporting and decision-making purposes.

Relational Database Design and Implementation 2026

What you'll learn

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Coding Exercises

Course content

Introduction2 lectures • 2min

Getting Started6 lectures • 18min

Entity Relationship Diagrams (ERD)6 lectures • 24min

Relation Modelling6 lectures • 19min

Relation Model Normalization7 lectures • 19min

Physical database design4 lectures • 4min

Database Implementation Environment Setup9 lectures • 21min

The Data Definition Language4 lectures • 28min

Data Manipulation Language8 lectures • 46min

Assignments0

Requirements

Description

Who this course is for: