| File Name: | Data Modeling Made Easy: A Beginner’s Guide to Data Modeling |
| Content Source: | https://www.udemy.com/course/data-modeling-for-beginners/ |
| Genre / Category: | Programming |
| File Size : | 3.1 GB |
| Publisher: | udemy |
| Updated and Published: | June 18, 2025 |
What you’ll learn
- Understand foundational data modeling concepts such as entities, attributes, relationships, and keys.
- Differentiate between conceptual, logical, and physical data models, and understand when to use each.
- Draw ER diagrams using Crow’s Foot notation to represent real-world scenarios.
- Build normalized, well-structured data models that reflect business rules and avoid redundancy.
- Design dimensional models (Star/Snowflake schemas) to support analytics and reporting.
Welcome to the Complete Beginner’s Guide to Data Modeling—designed to help you organize, structure, and connect data with confidence.
If you’re new to the world of data and systems, and you’re wondering how information is structured behind the scenes in apps, websites, reports, or databases—this course is built for you.
Data Modeling for Beginners course is a simple, practical, and visual introduction to the world of data modeling. No prior experience is needed. You’ll start from the ground up and gradually build the knowledge and confidence to model real-world data systems on your own.
Whether you’re preparing for a role in data analysis, business intelligence, or software development—or you’re simply curious about how data flows and connects—this course will help you think like a data modeler and communicate in the language of modern data.
Most data-related courses dive straight into tools or coding. But this course starts with the thinking process behind great data systems—what to model, why, and how to connect it all.
Understanding how to model data is a core skill for anyone working in the digital world. Every app, website, dashboard, and report is powered by structured data models.
With data modeling skills, you can:
- Design smarter systems.
- Avoid bad data practices like duplication and inconsistency.
- Communicate better with developers and analysts.
- Make informed decisions when managing or analyzing data.
- Prepare for interviews and real-world data challenges.
Data modeling is not just a technical skill—it’s a way of thinking clearly and structurally about problems.
In this course:
- You’ll learn using real-world scenarios—not just theory
- We explain every term and concept using plain English
- Each section is supported by visual diagrams and examples
- You’ll create your own models using free, browser-based tools
- You’ll gain practical skills for designing systems used in analytics, reporting, and applications
We don’t just teach how to model—we show you why it matters and how to use it in your own context.
After finishing this course, you’ll be able to:
- Explain what data modeling is—and why it’s essential in modern systems
- Identify entities, attributes, and relationships from business scenarios
- Choose the right relationship types (1:1, 1:M, M:N) based on the data
- Apply best practices when structuring tables and diagrams
- Use Crow’s Foot notation and other visual methods to document your models
- Understand and apply basic normalization to clean up data structure
- Move from conceptual to logical to physical modeling with ease
- Read, evaluate, and improve existing data models
- Design dimensional models (like Star Schemas) for analytical use cases
This course is:
- Beginner-friendly: Built specifically for learners with zero technical background
- Step-by-step: Each concept builds on the last with clear progression
- Visual: Diagrams, examples, and mini-projects make everything click
- Hands-on: You’ll build models yourself, not just watch lectures
This course comes with a 30-day money-back guarantee, so there’s absolutely no risk. If you’re not satisfied for any reason, get a full refund within 30 days, Udemy’s refund policy applies.
Who this course is for:
- Absolute beginners who are curious about how data is structured
- Aspiring data analysts, data engineers, or BI professionals looking for a clear starting point in modeling
- Students and career changers entering the data or tech industry
- Non-technical professionals (project managers, business users, etc.) who want to understand how data is organized in systems
- Developers and designers who want to improve their understanding of data flow and structure
- Data Analysts – who want to understand how the data they analyze is structured
- Data Engineers – who want to design robust and scalable data models
- Database Developers – who want to improve schema design and documentation
- BI Professionals – who want to strengthen their dimensional modeling skills
DOWNLOAD LINK: Data Modeling Made Easy: A Beginner’s Guide to Data Modeling
Data_Modeling_Made_Easy_A_Beginner___s_Guide_to_Data_Modeling.part1.rar – 1.5 GB
Data_Modeling_Made_Easy_A_Beginner___s_Guide_to_Data_Modeling.part2.rar – 1.5 GB
Data_Modeling_Made_Easy_A_Beginner___s_Guide_to_Data_Modeling.part3.rar – 191.1 MB
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