Video Training →Mastering Data Modeling in Power BI

What is Data Modeling

Why do we need it
What is a schema What are different kinds of Schemas in a Data Model
What are Facts & Dimensions
What are different kinds of relationships in a data model How to manage them
How to do data modeling in Power BI

Students only need a basic understanding of data management concepts and constructs such as relational database tables and how different pieces of data logically relate to one another. The course content builds on these rudimentary ideas; no other prerequisites are needed.
Basic understanding of 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 For 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

ypes 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!

business analyst, data eeer, 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 b 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 eeer, 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.

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