Mastering Microsoft Power BI: From Beginner to Pro

Mastering Microsoft Power BI: From Beginner to Pro - A step-by-step guide to mastering Microsoft Power BI using Power Query, Power Pivot, Power View, and Power BI Service

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What you'll learn

• Understand the Power BI ecosystem and how Power Query, Pivot, View, and Service fit together.
• Use Power Query to clean, transform, and shape raw data.
• Write basic and advanced DAX formulas for calculations and KPIs.
• Design professional reports and visualizations using Power View.
• Publish, manage, and share reports securely using Power BI Service.
• Build an end-to-end real-world dashboard project.
• Apply best practices in data visualization and storytelling.
• Understand what Power Query is and its role in the Power BI workflow.
• Connect to multiple data sources (Excel, CSV, SQL Server, Web, APIs, etc.).
• Perform data cleaning tasks such as removing duplicates, filtering rows, splitting and merging columns.
• Use transformations like pivoting, unpivoting, grouping, and transposing data.
• Apply conditional logic to create new columns and advanced calculated fields.
• Combine data from different sources using merge and append queries.
• Work with parameters and custom functions for reusable data transformations.
• Understand the basics of M language (Power Query formula language).
• Automate repetitive data preparation tasks.
• Build a strong foundation for data modeling before moving to Power Pivot and DAX.
• Understand the role of Power Pivot in building robust data models in Power BI.
• Create and manage relationships between multiple tables.
• Design a star schema for efficient reporting and performance.
• Build calculated columns and measures using DAX (Data Analysis Expressions).
• Apply aggregation functions (SUM, AVERAGE, COUNT, DISTINCTCOUNT, etc.).
• Use time intelligence functions (YTD, MTD, QTD, rolling averages, year-over-year growth).
• Implement hierarchies (Date hierarchy, Product hierarchy, etc.) for drill-down analysis.
• Understand the difference between calculated columns vs. measures and when to use each.
• Optimize data models for performance (reduce size, avoid redundancy).
• Prepare a solid data foundation for Power View dashboards and Power BI Service reports.
• Understand the purpose of Power View as a visualization and reporting layer in Power BI.
• Create a variety of interactive visuals including tables, matrices, bar/column charts, line charts, and maps.
• Use slicers, filters, and drill-downs to make reports dynamic and user-friendly.
• Design dashboards that highlight KPIs, trends, and insights clearly.
• Format visuals with themes, colors, and layouts for professional presentation.
• Combine multiple visuals into a single report page to tell a complete data story.
• Add interactivity with bookmarks, tooltips, and cross-filtering.
• Design reports that align with best practices in data visualization and storytelling.
• Connect Power View with Power Pivot models to visualize calculated measures and KPIs.
• Prepare dashboards that can be shared and published to the Power BI Service.
• Understand the role of Power BI Service as the online platform for collaboration and sharing.
• Publish reports and dashboards from Power BI Desktop to the cloud.
• Create and manage dashboards using pinned visuals from multiple reports.
• Share reports securely with colleagues, teams, or clients.
• Set up workspaces for collaboration and version control.
• Schedule data refreshes to keep reports up to date automatically.
• Manage permissions, roles, and security for different users.
• Use Power BI Mobile to access dashboards on the go.
• Create and subscribe to alerts and notifications on KPIs.
• Understand licensing basics (Free vs Pro vs Premium) and deployment best practices.