Data Modeling & Database Design interview practice test

[100% Off] Data Modeling &Amp; Database Design Interview Practice Test

Design robust databases! Master Entity-Relationship Diagrams (ERDs), Normalization, Conceptual, Logical & Physical model

Added on September 24, 2025 IT & Software 2 min read

What you’ll learn

Design robust and efficient relational database schemas from scratch
ensuring data integrity and scalability for any application.
Understand the core concepts of data modeling
including entities
relationships
cardinality
and the critical process of normalization (1NF
2NF
3NF).
Translate complex business requirements into clear and effective conceptual
logical
and physical data models.
Create professional Entity-Relationship Diagrams (ERDs) to visually communicate your database structure to both technical and non-technical stakeholders.

Requirements

No prior experience in data modeling or databases is required! All you need is a basic familiarity with computers and a strong curiosity about how data is organized. This course is designed to take you from the very beginning.

Description

Welcome to the most comprehensive and practical guide to Data Modeling and Database Design! In a world driven by data, the ability to structure it logically and efficiently is one of the most in-demand skills in the tech industry. This course is your step-by-step journey from an absolute beginner to a confident data architect who can design robust, scalable, and efficient databases from the ground up.

We will demystify the core concepts behind every great database. You won’t just learn theories; you will get hands-on experience translating real-world business problems into solid technical solutions.

Throughout this course, you will master:

The Fundamentals of Data Modeling: Understand the critical difference between Conceptual, Logical, and Physical data models and when to use each.
Entity-Relationship Diagrams (ERDs): Learn to create and interpret professional ERDs, the universal language for database structure. You’ll master entities, attributes, relationships, and cardinality.
Normalization: Go deep into the rules of normalization (1NF, 2NF, 3NF) to eliminate data redundancy and ensure data integrity, preventing common application bugs before they even start.
Translating Business Needs: Develop the crucial skill of listening to business requirements and converting them into a logical data model that developers can implement.
SQL Schema Implementation: Bridge the gap between design and reality by learning how to write the basic SQL DDL (Data Definition Language) to create your database schema.

This course is designed for aspiring Data Analysts, Data Scientists, Backend Developers, Business Analysts, and Computer Science students. If you have no prior experience, don’t worry! We start from scratch and build your knowledge progressively with clear explanations and practical examples.

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