In this module, we will explore the foundational concepts of Power Pivot and Power Query, tools that enable advanced data modeling and transformation within Excel. Through this introduction, you will gain an understanding of their capabilities and how they integrate to support data analysis processes.

In this module, we will delve into Power Query, starting with its editor interface and progressing to practical data transformations. You will learn to connect to various data sources, edit queries, and consolidate information effectively for analysis.

In this module, we will expand on Power Query features to handle more complex data manipulation tasks. Topics include unpivoting, merging, and aggregating data, along with conditional column creation. Hands-on exercises will reinforce your learning.

In this module, we will focus on creating a robust data model using Power Pivot. You will learn to create and manage table relationships, generate pivot tables, and optimize your model for seamless data analysis.

In this module, we will introduce DAX, a powerful language for creating calculated fields in Power BI and Power Pivot. You’ll learn to use DAX functions like COUNTROWS, SUMX, and RELATED to perform data analysis.

In this module, we will build upon DAX basics, exploring advanced calculations and measures to enhance your data analysis skills. Topics include creating date tables, calculating percentages, and advanced aggregation techniques.

In this module, we will master the art of creating interactive reports using pivot tables and slicers. You’ll learn to build pivot tables, filter data dynamically, and highlight top-performing categories.

In this module, we will recap the core functionalities of Power Pivot, Power Query, and DAX. This summary will solidify your understanding and provide context for their combined use in data preparation and modeling.

In this module, we will introduce Power BI, covering its desktop application, installation, and interface. You’ll gain insights into its functionality and how it enables professional data visualization and reporting.

In this module, we will focus on retrieving and transforming data in Power BI. You’ll learn to connect to various data sources, perform query manipulations, and structure data efficiently for further analysis and visualization.

In this module, we will dive into data modeling within Power BI, exploring table relationships, date column creation, and field management. These skills will help you prepare a well-structured model for accurate data analysis and reporting.

In this module, we will introduce DAX measures and their application in Power BI. Through hands-on examples, you will learn to calculate metrics like revenue, row counts, and year-over-year changes to extract actionable insights.

In this module, we will explore the visualization tools in Power BI, learning to create and customize charts, cards, and slicers. You’ll also practice building dynamic visuals that highlight trends, details, and performance indicators.

In this module, we will focus on designing visually appealing Power BI reports. You’ll learn to use formatting tools, add thematic consistency, and highlight critical insights to make your reports impactful

In this module, we will refine the interactivity of Power BI reports by editing visualization interactions and using filters. You’ll also explore drill-through functionality to navigate hierarchical data effectively.

In this module, we will transition from desktop to cloud by publishing reports to the Power BI Service. You’ll learn how to share reports and manage them within your organization’s workspace for collaborative insights.

In this module, we will conclude the course by reviewing the essential concepts of Power BI. This summary will reinforce your understanding of data transformation, modeling, and visualization to prepare you for practical applications.