Power BI Course Syllabus:

Level 1: Get started with Power BI

• Understanding the fundamentals of Power BI
• Exploring the Power BI ecosystem: Desktop, Service, Mobile
• Learn about Power BI capabilities
• Import data from different data source
• Excel
• SQL
• Dataverse

Level 2: Data Transformation

• Basic transformation
• Use the first row as a header
• Remove row
• Change type
• Add new columns
• Add conditional columns
• Unpivot the data
• Remove blank/null values
• Learn about best practices for data cleaning
• Start exploring M Query language

Level 3: Data Modeling

• Create relationships between multiple tables
• Learn one-to-many, many-to-one, many-to-many and other joins
• Understand cross-filtering relationships from one side or both sides

Level 4: Creating Visualizations

• Building basic visualizations: charts, graphs, tables
• Learn formatting tab and design options
• Implementing interactive elements using filters and slicers
• Create maps in Power BI

Level 5: Advanced Visualization Techniques

• Use bookmark, drill-down, edit interaction
• Mastering the art of storytelling through data
• Practice custom or advanced visuals
• Implementing drill-through functionalities

Level 6: Power BI Service and Collaboration

• Publishing reports to the Power BI service
• Creating and sharing dashboards
• Create a workspace and convert the report into a dashboard
• Publish an App using the Power BI report
• Managing data refresh schedules

Level 7: DAX and Measures

• Using Quick measures
• Create calculated columns
• Creating calculated measures with DAX
• Understand filter context
• Implementing time intelligence functions

Level 8: Performance Optimization

• Looks for best practices
• Improve performance by reducing queries
• Optimizing DAX time with a performance analyzer
• Format data, group the columns
• Custom formatting and grouping selections

Level 9: Real-World Projects and Best Practices

• Practice top Power BI projects
• Designing end-to-end solutions using Power BI
• Optimizing performance and data refresh strategies