Session Overview

This full-day session bridges the knowledge gap between beginner and advanced Power BI users. It emphasizes data transformation, schema design, DAX fundamentals, and practical visualization techniques to support data-driven decision-making in real-world business scenarios.

Learning Objectives

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

• Characterize and profile data to detect structure and quality issues
• Merge and clean data from multiple sources, including fuzzy matching
• Apply advanced data transformation and modeling techniques
• Design optimized data schemas (star and snowflake)
• Create and manage relationships using cardinality and cross-filtering
• Build calculated columns and measures using DAX
• Design visually compelling dashboards with interactivity
• Implement DirectQuery and configure real-time data refresh

Training Methodology

• Live Demonstrations: Step-by-step walkthroughs with real datasets
• Hands-On Practice: Guided exercises for each concept using Power BI
• Problem-Based Learning: Real-world scenarios to apply techniques
• Concept Reinforcement: Reflection tasks and module-end reviews
• Template-Driven Training: Use of DAX cheat sheets and dashboard samples
• Interactive Q&A: Peer learning and troubleshooting during sessions

Importance of the Training Programme

• Bridges the Gap: Prepares participants for advanced Power BI and real-world BI challenges
• Boosts Efficiency: Reduces report development time with structured modeling
• Improves Accuracy: Enhances data quality and consistency through proper techniques
• Enables Insightful Reporting: Empowers teams with advanced metrics and KPIs
• Promotes Self-Sufficiency: Minimizes dependency on external data teams

Supports Scalability: Lays the foundation for enterprise-level Power BI usage