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[2024] Mastering Data Modeling: Concept to Implementation (Udemy.com)

Database Modeling | Database Design Model | Database Normalization | Relational Database Design | Data Modeling

Created by: Lokanath Giri

Last updated November 2025

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What you will learn

  • Fundamentals of Data Modeling: Understand the basic principles, concepts, and terminology associated with data modeling.
  • Database Design Principles: Learn how to design and create well-structured databases that efficiently store and manage data.
  • Gain proficiency in creating Entity-Relationship Diagrams (ERDs) to visually represent the structure and relationships within a database
  • Normalization Techniques: Understand the normalization process and its various forms (1NF to 5NF) to ensure data integrity and minimize redundancy in database
  • Familiarize themselves with different modeling notations (e.g., UML, ERD) and software tools used for data modeling (e.g., ERwin, SQL Data modeler)
  • Learn the differences between conceptual, logical, and physical data models, and how to create each type
  • Understand industry best practices for data modeling, including naming conventions, documentation standards, and design considerations.

How it compares

Against the other 388 rated Udemy courses in SQL on CourseDuck:

  • Rating4.3 out of 5higher than 22% of them
  • Reviews766#169 of 389 by number of reviews
  • Length5.2 hoursshorter than 58% of them
  • Last updatedNovember 2025more recently than 71% of them

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Course Description

Course Title: Mastering Data Modeling: From Concept to Implementation

Course Description: Welcome to Mastering Data Modeling! In this course, you'll embark on a journey through the fundamental principles and advanced techniques of data modeling, from conceptualization to implementation. Whether you're a beginner or an experienced data professional, this course will equip you with the knowledge and skills needed to design efficient and scalable databases that meet the needs of modern businesses.

Throughout this course, you'll learn how to create clear and concise data models using industry-standard techniques and tools. From understanding the basics of entity-relationship modeling to mastering the intricacies of normalization and optimization, you'll gain a deep understanding of the entire data modeling process.

What You'll Learn:

  1. Introduction to Data Modeling: Understand the importance of data modeling and its role in database design.

  2. Entity-Relationship Modeling (ERD): Learn how to create Entity-Relationship Diagrams (ERDs) to represent the structure and relationships of your data.

  3. Normalization Techniques: Dive into the principles of normalization (1NF to 5NF) and learn how to apply them to eliminate redundancy and ensure data integrity.

  4. Modeling Notations and Tools: Familiarize yourself with different modeling notations (e.g., UML) and popular data modeling tools (e.g., Erwin, SQL Data Modeler).

  5. Conceptual, Logical, and Physical Modeling: Explore the differences between conceptual, logical, and physical data models, and learn how to create each type.

  6. Best Practices and Guidelines: Discover industry best practices for data modeling, including naming conventions, documentation standards, and design considerations.

  7. Data Model Documentation: Learn how to document data models effectively, including entity definitions, attribute details, relationships, and constraints.

  8. Dimensional Modeling: Gain insights into dimensional modeling techniques for building data warehouses and analytical databases.

  9. Data Model Implementation: Understand how to translate data models into physical database schemas, including considerations for indexing, optimization, and performance tuning.

  10. Collaboration and Communication Skills: Develop the ability to collaborate with stakeholders, communicate effectively, and translate business requirements into data models.

Who Is This Course For:

  • Beginners looking to learn the basics of data modeling.

  • Intermediate users seeking to deepen their understanding of advanced data modeling concepts.

  • Data professionals, including database administrators, analysts, and developers, wanting to enhance their skills in designing and implementing databases.

By the end of this course, you'll have the knowledge and confidence to tackle data modeling projects with ease, making you a valuable asset in any data-driven organization. Enroll now and take your data modeling skills to the next level!

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Instructor Details

Lokanath Giri

I am a seasoned IT professional with 21+ years of experience in enterprise technologies, database architecture, data engineering, and end-to-end solution delivery across diverse industries.

Currently, I am pursuing a Master’s in Technology in Data Science with a specialization in AI/ML, focused on integrating enterprise systems with modern AI-driven solutions.

My passion is to simplify complex concepts and help learners build practical, job-ready skills in:

Database: SQL, PL/SQL, Data Modeling, Data Migration

Data warehousing: Dimensional modeling, Analytics

Data Science: Machine Learning, Generative AI, Real-World Project Implementation

Professional Experience

NTT Data – Solution Advisor (Band - Director)

Coforge Ltd – Senior Technical Architect

ITC Infotech, Bosch – Technical Architect

Global Reach

Courses and learning content trusted by students in 126+ countries.

I bring a unique combination of deep enterprise experience, strong technical leadership, and modern AI expertise to help professionals grow with confidence in today’s data-driven world.

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Reviews

4.3

766 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Seonyoo Yeom on 7/26/2026

Good resources in every section which makes easy to understand lecture. Sometimes you can consider it a bit slow but if you adjust the speed of video, that might be no problem.

By Annemarie van Prooijen on 1/5/2026

The information is probably good, but the teacher is mostly reading the slides and sometimes giving a very short example. I can read the slides myself, don't need someone else to read it for me. After two sections with information, there's no way of practicing yet, or a test to see if the new knowledge is understood. This would improve the course.

By Lazer on 11/14/2025

Use of example its continuity was good from the course and trainer, however for some specific topics rational/steps/appropriate emphasis/guidance were missing and language could be better

By Artemie Țurcanu on 8/31/2025

The lecturer explains the material very clearly, and the lecture notes are genuinely helpful. However, some of the notes shown in the videos were initially missing from the downloadable materials. UPD 1: After this review was written, the instructor attached the missing notes, which was appreciated. Still, there are no materials related to the final project (logical model, physical model, etc.), even though they were mentioned as being included. Note on rating: I accidentally changed the score from 4 to 2.5 when I meant to update it to 3.5. I adjusted the rating after seeing that, although the lecture notes were added, the final project resources are still unavailable (see UPD 1). UPD 2: The instructor was very responsive — after I pointed out the missing lesson notes and the absence of logical and physical model examples for the final project, he assured me he would fix these issues. This kind of responsiveness deserves respect. UPD 3 (after one month): Unfortunately, the logical and physical model examples for the final project still haven’t been uploaded.

By Stieven Mormon on 6/13/2025

The explenation of the trainer was good, but sometimes the trainer was not easy to understand what he was saying. But for the rest was the theory well explained.

By SUBASREE P on 3/16/2025

Yes, Trainer has explained the concepts in an easier way and more understandable way with examples. but it would be great if he has included more practical projects along with their solutions.

By Anonymized User on 2/4/2025

Really helps me undertstand the data modelling in real world. Release 2 (delta change) actually describes real world problem in data engineering domain. thanks for the simplified course.

By Andrej Bodi on 1/17/2025

I know a lot of stuff from other similar coures but a good overview. I missing the connection to technologies - if this is agnostic or changes for on prem vs cloud

By Akhoury Pratyush Kumar on 10/21/2024

One of the most valuable skills I gained was learning how to use Oracle SQL modeler tool and about the Data Modeling. Before the course, I had no experience with Data Modeling, but now I feel confident about using Oracle SQL Modeler tool and generating DDL scripts.

By Rafael Barbosa on 6/27/2024

Very well explained. The teacher approaches every topic with care and helps you to understand every single one of them. I would 100% recommend if you'r a beginner or u'r searching for an update or u'r seeking to remember any concept.

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Overall Score : 86 / 100