Hands-On Data Modeling and Schema Design with Snowflake and Power BI – No Experience Required

What you'll learn

• Understand data modeling concepts: Learn the differences between conceptual, logical, and physical models, focusing on star and snowflake schemas
  
• Create and analyze ER diagrams: design and interpret ER diagrams for representing business requirements and structuring database designs effectively
  
• Learn and implement normalization principles to optimize database design, ensuring data integrity and minimizing redundancy.
  
• Gain hands-on experience in designing snowflake schemas and using Power BI to visualize and analyze data based on the schema.
  

Requirements

• Some basic SQL knowledge would be beneficial, however we will generate SQL queries using generative AI tools.
  
• A computer or laptop with internet connection to follow along with the hands on activities
  

Description

Understanding how to structure and organize data effectively is essential for anyone working in data analytics, business intelligence, or data engineering. This course is designed to teach you the foundations and practical skills of data modeling using real-world tools and projects.

You will start with the basics of data modeling — what it is, why it matters, and how it's used in the real world. From there, you'll explore conceptual, logical, and physical design approaches, including normalization, ER diagrams, and dimensional modeling techniques like star and snowflake schemas.

Once the fundamentals are in place, you'll work on a guided project using a Website Sales dataset. You'll design and structure the data model, define relationships, and use Snowflake with Generative AI tools to build and populate your tables. From data loading to testing and analysis, each step is explained clearly and applied practically.

In the second hands-on project, you'll use Power BI and a Passenger Flight dataset to build dimension and fact tables, define key relationships, and validate your data model inside Power BI. You'll also learn how to build a basic Power BI report based on your model.

By the end of this course, you'll have a complete understanding of how data models are created and used, with the skills to apply them in tools like Snowflake and Power BI.

What You'll Learn:

• The purpose and types of data models: conceptual, logical, and physical
  
• How to use ER diagrams and normalization techniques
  
• Building dimensional models including star and snowflake schemas
  
• Creating and populating data models using Snowflake
  
• Using Generative AI to accelerate data modeling tasks
  
• Designing and validating data models in Power BI
  
• Connecting Power BI to Snowflake and visualizing insights
  

Tools Used:

• Snowflake for cloud-based data modeling and storage
  
• Power BI for data modeling, validation, and reporting
  
• Generative AI tools for assisted modeling and automation
  

Who this course is for:

• Aspiring data analysts, data engineers, or business intelligence professionals who want to understand how data modeling works in practice
  
• Professionals working with Power BI or Snowflake who want to build better data structures and improve performance
  
• Students or early-career tech professionals looking to gain hands-on experience in data modeling with modern tools
  
• Beginners who are comfortable with basic data concepts and want a guided, practical approach to building real-world data models
  

More Info