Level 3 Power BI: Advanced Data Modeling and Reporting Techniques

Duration: 2 days

This course is also available for in-house sessions.

Course Overview

This advanced Power BI course equips participants with the skills to build high-performance, secure, and insightful reports. Attendees will master complex DAX calculations, optimize data models for scalability, implement Row-Level Security to protect sensitive data, and leverage AI-powered visuals for deeper analytics. The course also covers best practices in report design, governance, and real-time data streaming, preparing data analysts, BI developers, and advanced users to deliver interactive, efficient, and actionable Power BI solutions.

Learning Outcomes

By the end of the course, participants will be able to:

• Develop advanced DAX skills to optimize and create complex calculations.
• Optimize data models for better performance and scalability.
• Implement Row-Level Security (RLS) to restrict access to sensitive data.
• Utilize AI-powered visuals and gain deeper insights from Power BI reports.
• Apply best practices for designing interactive and high-performance reports.

Target Audience

This course is designed for:

• Advanced Power BI users seeking to refine their skills for complex reporting.
• Data analysts, BI developers, and IT professionals working with large datasets and requiring advanced reporting features.

Course Outline

Module 1: Advanced DAX Techniques

• Working with advanced DAX functions (e.g., CALCULATE, FILTER, and variables).
• Using DAX for optimized calculations (e.g., SUMX, AVERAGEX).

Module 2: Optimizing Data Models

• Creating optimized relationships and handling large datasets.
• Using composite models (DirectQuery and Import Mode).
• Managing performance and troubleshooting issues.

Module 3: Introduction to Row-Level Security (RLS)

• Implementing RLS to restrict data access.
• Managing roles and permissions in Power BI reports.

Module 4: AI Visuals and Insights

• Using Key Influencers and Decomposition Tree visuals.
• Gaining insights with AI-powered analytics.

Module 5: Best Practices for Report Design and Troubleshooting

• Designing intuitive dashboards.
• Version control and governance best practices.
• Troubleshooting and debugging report issues.

Module 6: Real-Time Data and Streaming Analytics

• Introduction to connecting to real-time data sources.
• Setting up real-time dashboards and streaming data analytics.