Udemy – Data Modeling Foundations 2025-7
Udemy – Data Modeling Foundations 2025-7 Downloadly IRSpace
Data Modeling Foundations course. This course is an ideal starting point for those who want to understand the concepts of data modeling and gain the ability to design and work with data models, even without prior experience. Designed to educate beginners, this course starts with the basics, explains concepts and terminology, and gradually builds data models for real-world scenarios. Participants not only learn the theory, but also learn how to apply their knowledge through practical exercises and the use of data modeling tools. This course simplifies the core concepts of data modeling and demonstrates its importance in data analysis and business intelligence. Participants learn how to identify and define entities, properties, and relationships, and visualize their data models with Entity Relationship Diagrams (ERDs). Types of data models, including conceptual, logical, and physical, are explored and the application of each is taught. In the practical sections, you will practice creating tables, defining primary and foreign keys, and building relationships to maintain data integrity. The basics of star and snowflake models for structuring data in reporting and business intelligence are also covered. Using data modeling tools, participants will create, modify, and improve their models step by step. By the end of the course, they will learn best practices and tips to avoid common mistakes and design models that are clear, scalable, and ready to use in real business environments.
What you will learn
- Understand the fundamental concepts of data modeling: including entities, attributes, and relationships, and how they apply to real-world data scenarios.
- Identify and design different types of data models: including conceptual, logical, and physical models using simple and practical examples.
- Construct and interpret entity relationship diagrams (ERDs): to visually represent data structures and relationships.
- Create relational data models: using tables, keys, and relationships, and understanding how to ensure data integrity.
- Use dimensional modeling concepts: such as fact tables and dimensions, to design models suitable for reporting and analysis.
- Working with beginner tools: to build, visualize, and modify data models through hands-on exercises.
This course is suitable for people who:
- Data analysts, business intelligence professionals, and people interested in data-driven roles.
- Entrepreneurs, marketers, and business owners: who want to make better decisions using structured data.
- Freelancers or consultants: who work with reports, dashboards, or client analytics projects.
- Absolute beginners: who want to start learning data modeling and have no prior experience.
- Students or recent graduates: looking to add practical data and analytics skills to their resume.
- Anyone thinking about making a career change to data analytics, business intelligence, or related fields and looking for a practical starting point.
Data Modeling Foundations Course Specifications
- Publisher: Udemy
- Instructor: George Smarts
- Training level: Beginner to advanced
- Training duration: 2 hours and 58 minutes
- Number of lessons: 55
Course syllabus in 2025/8
Prerequisites for the Data Modeling Foundations course
- No prior experience with data modeling or databases is required; This course is designed for absolute beginners.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
758 MB
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