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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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

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