Mastering Data Modeling in Power BI

If you are a current or aspiring Data professional in search of sound, practical techniques to analyze and model data as part of the data modeling for data analysis or data visualization or data database/DWH design, this is the course for you.

In this course, you’ll from basic concepts of data modeling to doing data modeling in Power BI using AdventureWorks DW. Not only that, you'll also get quiz, .pbix file, questions, resource material as well as PDF of the video course.

I have used my own experience in the data field to design this course. I have kept this course very precise, and to the point so that within an hour you can grasp all the necessary knowledge. I am sure after completing this course, your concepts regarding data modeling would be clear, and you can start designing your very first data model or can improve the existing one.

In this course, I take you from the fundamentals and concepts of data modeling all the way  and techniques that you’ll need to build data models in your organization. You’ll find lab/workshop that clearly demonstrate the key concepts and techniques covered throughout the course. By the end of the course, you’ll be all set to not only put these principles to work, but also to make the key data modeling and design decisions required by the “art” of data modeling that transcend the nuts-and-bolts techniques and design patterns.

Specifically, this course will cover:

Part 1: Data Modelling Overview

• V2: Introduction to Data Modelling: What is Data Modelling? Why Data Modelling?
• What is a data model? What are different Data Modelling Techniques?
• Data Modelling Techniques
• Why use a data model?
• Types of Data Models & their Characteristics
• Advantages & Disadvantages of a data model
• Quiz

Part 2: Fact Vs Dimensions

• Primary Vs Foreign Key
• What is a fact table
• What is a dimension table
• Key differences between Facts & Dimensions
• Types of Facts & Dimensions
• Quiz

Part 3: Relationships in a Data Model

• What is a relationship in a db?
• types of relationships
• How to prevent duplication?
• Summary
• Demo/Lab
• Quiz

Part 4: Start Schema Vs Snowflake Schema

• What is a DB Schema?
• What is multidimensional schema
• Types of DWH schema
• Star Schema & its characteristics
• Snowflake Schema & its characteristics
• Difference between Start & Snowflake schemas
• Galaxy Schema & it's characteristics
• Quiz

Part 5: Design a data model in Power BI

• Lab - 20 Mints
• Resource Material
• Questions Answers file

Data modeling is both an art and a science. While we have developed a large body of best practices over the years, we still have to make this-or-that types of decisions throughout our data modeling work, often based on deep experience rather than specific rules. That’s what I’ve instilled into this course: the fusion of data modeling art and science that you can bring to your organization and your own work. So come join me on this journey through the world of data modeling!

Who this course is for:

• business analyst, data engineer, or database designer, currently with little or no exposure to or experience with data modeling, who desires to build a personal toolbox of data modeling best practices and techniques.
• After completing this course, you will be ready to begin working on real-world data modeling projects, either with expanded responsibilities as part of an existing role or to find a new position involving data modeling. Example positions include database designer, conceptual data modeler, database engineer, and business analyst with an emphasis on data requirements.
• Specially, if you are working on Power BI, then this would be a milestone towards your career journey.