In this comprehensive Microsoft Power BI Masterclass, you'll embark on a transformative learning journey designed to make you proficient in Power BI's full range of features. By the end of the course, you’ll have mastered everything from data transformation and visualization to creating complex data models and applying advanced analytics techniques.
The course begins by familiarizing you with Power BI's interface and essential functionalities. You'll start with downloading and installing Power BI, learning how to create data models, and handling data transformation through the Query Editor.
Mini-projects will help you gain hands-on experience, ensuring you understand both data transformation and visualization. As you progress, you’ll dive deeper into advanced data transformation techniques, including working with different data sources such as CSV files, web pages, and SQL databases.
You will learn to manage complex data structures and perform powerful operations like pivoting, merging, and using M formulas for optimization. This course is ideal for data professionals, analysts, and business intelligence enthusiasts who want to harness Power BI for their data-driven decision-making.
There are no specific prerequisites, though familiarity with basic data analysis concepts can be beneficial. The course is structured for intermediate learners, but beginners will also find valuable content to help them grow.
- Introduction
In this module, we will introduce Power BI, an essential tool for data transformation, visualization, and analysis. You'll learn how to install and configure Power BI Desktop, tour its interface, and work through mini-projects to familiarize yourself with the key functions of the software. By the end of this section, you'll be equipped with the basic skills necessary to begin using Power BI in your projects.
- Preparing Our Project
In this module, we will focus on setting up your Power BI project by creating your first project file and working with attached resource files. These files will serve as the foundation for your learning as you complete exercises and compare your progress with provided solutions. You'll gain the necessary skills to organize and manage your Power BI project effectively.
- Data Transformation - The Query Editor
In this module, we will dive deep into Power BI's Query Editor, where you'll learn to connect to data sources, transform data, and clean it for analysis. You'll explore powerful techniques such as merging and pivoting queries to ensure your data is in the best format for visualization. This section is key for mastering the transformation phase of the data analysis process.
- Data Transformation - Advanced
In this module, we will build upon your existing knowledge of Power BI's transformation tools, introducing advanced techniques like the M Formula Language for dynamic data transformation. You'll also learn how to optimize your workflow and improve performance with various functions and best practices, ensuring efficient data handling and analysis.
- Creating a Data Model
In this module, we will explore how to design a robust data model in Power BI, focusing on how to establish and manage relationships between different tables. You'll gain a solid understanding of how to structure your data for effective reporting, ensuring that your models are efficient and easy to interpret.
- Data Visualization
In this module, we will cover the key aspects of data visualization in Power BI, from creating your first visual to mastering advanced features like drilldowns and custom visuals. You will learn to use Power BI's formatting and analytical tools to craft compelling, interactive reports that communicate insights clearly and effectively.
- Power BI and Python
In this module, we will explore how to use Python to extend Power BI's capabilities, particularly in data transformation and visualization. You'll learn to integrate Python into your Power BI reports, creating more advanced visualizations and performing statistical analyses to enhance your data insights.
- DAX - The Essentials
In this module, we will introduce you to DAX, the language that powers calculations in Power BI. You'll learn how to use DAX to create calculated columns, measures, and basic aggregation functions, providing deeper insights and more advanced analytics capabilities in your reports
- DAX - The CALCULATE Function
In this module, we will focus on the CALCULATE function, a core feature of DAX in Power BI. You'll learn how to manipulate the context of your data and use CALCULATE in combination with other DAX functions to create sophisticated calculations for your reports and dashboards.
- Tell a Story with Your Data - Learn to Visualize Effectively
In this module, we will delve into the art of data storytelling, teaching you how to design reports that not only present data but also communicate insights effectively. You'll learn how to choose the right KPIs, select impactful visuals, and organize your reports for maximum clarity and engagement.
- Power BI Service - Power BI Cloud
In this module, we will shift our focus to the Power BI Cloud, where you'll learn how to publish and manage your reports, workspaces, and dashboards in the cloud. You'll also discover how to use the Power BI mobile app to view and interact with your reports from anywhere.
- Row-Level Security
In this module, we will cover how to implement row-level security (RLS) to restrict access to data based on user roles. You'll learn how to set up dynamic and hierarchical security models, ensuring that the right users see only the data they need, both in Power BI Desktop and the cloud.
- More Data Sources
In this module, we will expand your data connectivity skills by showing you how to connect Power BI to a variety of additional data sources. You will learn to integrate data from JSON, REST APIs, and databases like MySQL and PostgreSQL, enriching your reports with diverse data
- Next Steps to Improve and Stay Up-to-Date
In this module, we will wrap up the course by summarizing the key concepts you've learned and suggesting next steps for deepening your Power BI expertise. You'll also discover resources to help you stay current with the ever-evolving world of data analysis and visualization
