Author : Prem Nidhi Sharma
Last Updated : 08 Feb 2024

Data Modelling and Design Course Overview

The Data Modelling and Design course provides a comprehensive foundation for understanding and creating effective data models, which are crucial for developing robust databases and information systems. In Module 1, learners are introduced to the concept of modeling, exploring the reasons for modeling, project phases, model transitions, and function model terminology. This sets the stage for practical applications in data design.

Module 2 dives into creating the Entity-Relationship Model, a cornerstone of data modeling that helps define the structure of data and its interrelationships. Through lessons on identifying entities and relationships, as well as understanding relationship types and unique identifiers, students will learn how to create detailed and accurate ER models.

In Module 3, the course explores Normalization, a process vital for reducing redundancy and improving data integrity within databases. Learners will gain insights into Relational Database Principles and the transition from 0NF to 1NF, equipping them with the skills necessary to structure data efficiently.

Finally, Module 4 guides learners through the stages of Design and Implement Data Models, covering the transitions from analysis to design, from entities to tables, and the implementation of subtypes and supertypes. This includes lessons on denormalization and the transition of entity models to Unified Modeling Language (UML) class models.

Overall, this course will help learners master the art of creating structured, efficient, and maintainable data models, an essential skill in the field of data management and database design.

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

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Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

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Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

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Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

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Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

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Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

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Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Course Advisor

Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience.

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

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Target Audience for Data Modelling and Design

The Data Modelling and Design course equips participants with essential skills for efficient database structure creation and management.

Database Designers
Data Architects
Data Modellers
Business Analysts
System Analysts
IT Project Managers
Database Administrators (DBAs)
Software Engineers
Application Developers
Data Analysts
Data Scientists (with a focus on data structure)
BI (Business Intelligence) Professionals
Data Engineers

Learning Objectives - What you will Learn in this Data Modelling and Design?

Introduction to the Course’s Learning Outcomes and Concepts Covered:

This course offers a comprehensive understanding of Data Modeling and design, covering the creation of entity-relationship models, normalization, and the transition from model to implementation.

Learning Objectives and Outcomes:

Grasp the fundamental concepts and importance of Data Modeling in the context of IT systems development.
Understand the role of Data Modeling within different project phases and how models evolve through these phases.
Learn how to create and refine Entity-Relationship (ER) models, including identifying entities and relationships.
Differentiate between various relationship types and master the identification and validation of unique entity identifiers.
Gain the ability to refactor attributes into entities and understand the use of supertype-subtype entities in data models.
Recognize and apply common data model patterns such as Master-Detail, Classification, and Basket Patterns.
Comprehend the principles of normalization and learn how to transition from 0NF to 1NF to create well-structured databases.
Develop skills in transitioning from analysis to design and then to implementation, with a focus on entity to table transitions.
Learn the strategies for denormalization and when its application is appropriate for performance and practicality.
Acquire the capability to translate entity models into UML class models for object-oriented design and implementation.