Data Modeling and Architecture

Overview

Data Modeling and Architecture is designed to provide you with the foundational skills required to create and manage data models in Microsoft Power BI. Throughout this course, you'll explore the intricacies of data relationships, schemas, and the use of Data Analysis Expressions (DAX) to enhance your data models.

You'll also explore essential topics like data privacy and security, ensuring that your data models are both effective and compliant with ethical standards. This course is hands-on, offering practical experience in configuring data structures and applying advanced techniques to optimize data models.

By the end of this course, you’ll be able to design robust data models that support insightful and ethical data analysis. This program is for anyone interested in data analytics and visualization; there are no prerequisites.

To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. At this point, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI.

You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs. Additionally, you should also be comfortable configuring multiple data sources, cleaning and transforming data using Power Query, and ensuring data integrity and quality.

These skills will serve as the foundation for more advanced tasks, such as building and maintaining relationships in data models, writing DAX calculations, and managing data privacy and ethics concerns in Power BI.

Syllabus

• Data modeling basics
In this module, you will learn the fundamentals of data modeling in Microsoft Power BI, focusing on different types of cardinality and how to create star and snowflake schemas. You’ll explore the key concepts of data relationships, such as one-to-one, many-to-one, and many-to-many, and understand how to effectively set up and manage these relationships within Power BI. This module sets the stage for building complex and efficient data models.
• Data Analysis Expressions
This module introduces you to the power of Data Analysis Expressions (DAX) in Power BI. You’ll learn how to create DAX formulas using tools like Copilot, explore the concept of row and filter context, and understand how to apply DAX measures to enhance your data analysis. Additionally, you’ll gain insights into configuring role-playing dimensions and cross-filter contexts, which are essential for creating dynamic and responsive data models.
• Data privacy and security
In this module, you will explore the critical aspects of data privacy and security within data modeling. You'll explore ethical considerations, privacy laws, and the principles of data governance. This module emphasizes the importance of maintaining data integrity and compliance, ensuring that your data models adhere to best practices for ethical data use. You'll also learn about the key components of a data governance framework, vital for any organization handling sensitive data.
• Final project and assessment: Data Modeling and Architecture
In the final course project, you will consolidate your learning by applying the skills acquired throughout the course to a real-world scenario. You’ll design a comprehensive data model in Power BI, configure schemas, apply DAX measures, and address data privacy concerns. This project challenges you to synthesize all the concepts from the course, demonstrating your ability to create robust, ethical, and efficient data models in a professional setting.

Taught by

Microsoft

Subjects

Programming