Course Content
Module 1: Introduction to Power BI & Data Analytics
📖 Overview Understand the role of Power BI in modern analytics and how it fits into the Microsoft ecosystem. 🔍 What You’ll Learn • Power BI ecosystem (Desktop, Service, Mobile) • Data analytics lifecycle • Types of analytics (descriptive, diagnostic, predictive) • Introduction to self-service BI 🎯 Outcome Build a foundational understanding of how Power BI enables data-driven organizations.
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Module 2: Data Preparation & Transformation (Power Query)
Module 3: Data Modeling (Semantic Layer Design)
Module 4: Data Analysis with DAX
Module 5: Data Visualization & Storytelling
Module 6: Power BI Service & Deployment
Module 7: Security, Governance & Performance
Module 8: SkillSim Capstone Simulation (End-to-End BI Project)
Microsoft Power BI Data Analyst (PL-300)

📖 Overview

Learn how to ingest, clean, and transform data using Power Query.

🔍 What You’ll Learn

  • Connecting to data sources (Excel, SQL, APIs)
  • Data cleaning and shaping
  • Query folding and performance optimization
  • M language fundamentals

🎯 Outcome

Transform raw data into analytics-ready datasets.

💡 Exam Tip (PL-300 Pattern):

👉 Understand when query folding breaks—critical for performance questions.

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