Get started with Power BI by understanding its purpose, architecture, and key components. Learn about the Power BI ecosystem, install Power BI Desktop, and explore the differences between Power BI Desktop and Power BI Service to build a strong foundation for the course.

Learn how to connect Power BI to various data sources, including Excel, CSV, and SQL Server. Understand the differences between Import and DirectQuery modes, and gain hands-on experience loading data efficiently for analysis and reporting.

Learn the fundamentals of Power Query to clean, transform, and prepare data for analysis. Gain hands-on experience with applied steps, removing duplicates, splitting columns, and performing essential data transformation techniques to create clean and reliable datasets.

Understand the fundamentals of data modeling in Power BI by learning how to create relationships between tables, differentiate between Star and Snowflake schemas, and build an efficient data model for accurate analysis and high-performance reporting.

Explore the fundamentals of DAX (Data Analysis Expressions) and learn how to create Calculated Columns and Measures. Understand the differences between them while using essential functions such as SUM, COUNT, and AVERAGE to perform basic data analysis and calculations in Power BI.

Take your DAX skills to the next level by learning advanced functions such as CALCULATE, FILTER, and ALL. Explore Time Intelligence functions like YTD (Year-to-Date), MTD (Month-to-Date), and QTD (Quarter-to-Date) to perform dynamic calculations and create insightful business reports.

Learn how to create impactful and interactive reports using Power BI's built-in visualizations. Explore bar, line, and pie charts, along with tables, matrices, and slicers, to effectively present data and enable dynamic filtering for better business insights.

Enhance your reporting skills by creating advanced visualizations such as Maps, Scatter Plots, and KPI Cards. Learn how to use custom visuals from the Power BI Marketplace to build interactive, visually appealing, and business-focused dashboards.

Learn the best practices for designing professional and user-friendly Power BI reports. Explore effective layouts, themes, and color palettes, and enhance report interactivity using drill-through pages, bookmarks, and custom tooltips to deliver meaningful business insights.

Learn how to publish Power BI reports to the Power BI Service and manage them efficiently. Explore workspaces, dashboards, and apps, while understanding how to securely share reports and collaborate with teams for effective business decision-making.

Learn how to implement Row-Level Security (RLS) in Power BI to control data access for different users. Understand the differences between Static and Dynamic Roles, and gain hands-on experience securing reports to ensure users see only the data they are authorized to access.

Learn techniques to optimize Power BI reports for better speed and efficiency. Explore aggregations, query reduction, and industry best practices for handling large datasets, ensuring faster report performance and an improved user experience.

Discover Power BI's built-in AI-powered visualizations to uncover deeper insights from your data. Learn how to use Key Influencers, Decomposition Tree, and Smart Narrative visuals to identify trends, analyze root causes, and generate automated data-driven insights for effective decision-making.

Learn how to integrate Power BI with Azure Cognitive Services to build AI-powered analytics solutions. Explore features such as Sentiment Analysis and Image Tagging to enrich your data with intelligent insights and create more advanced, data-driven reports.

Discover how to leverage Machine Learning (ML) capabilities in Power BI Service using AutoML. Learn to build, train, and apply machine learning models on your datasets to generate predictive insights and enhance data-driven decision-making without writing complex code.