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

Design efficient and scalable data models.

🔍 What You’ll Learn

  • Star schema vs snowflake schema
  • Relationships (one-to-many, many-to-many)
  • Cardinality and filter direction
  • Hierarchies and calculated tables

🎯 Outcome

Build a high-performance semantic model.

💡 Afrinetics Insight:

👉 This is where ontology thinking begins (link to Perspicacity AI+IQ semantic layer).

 

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