Power BI Certification Training Course: PwC Academy Syllabus

Overview: This comprehensive Power BI certification course, delivered by PwC Academy on Edureka, provides a structured, hands-on learning path for beginners aiming to master Power BI from foundational to advanced levels. The curriculum spans approximately 41 hours of live instruction and project work, covering data transformation, modeling, visualization, service management, and advanced analytics with AI integration. Learners will gain practical experience through real-world projects and prepare for the PL-300 certification, making them job-ready for roles such as Power BI Analyst and BI Developer.

Module 1: Introduction & Desktop Setup

Estimated time: 5 hours

• Understand the concepts of Self-Service BI (SSBI) vs formal BI
• Install and configure Power BI Desktop
• Import data from various sources
• Create basic visuals including clustered column charts and maps

Module 2: Data Loading & Transformation

Estimated time: 8 hours

• Connect to data sources like SQL, Azure, Cosmos DB, and SaaS platforms
• Perform data cleaning and shaping using Power Query
• Implement ETL processes for real-world projects
• Transform unstructured data into analysis-ready formats

Module 3: Data Modeling & DAX

Estimated time: 7 hours

• Build star schema data models and define table relationships
• Use Power Pivot for dimensional modeling
• Write DAX formulas and create calculated measures
• Calculate business metrics like cumulative sales and year-over-year growth

Module 4: Visualization & Reports

Estimated time: 7 hours

• Design interactive dashboards with KPIs, slicers, and tooltips
• Incorporate drill-through, drill-down, and navigation features
• Use custom visuals and map-based visualizations
• Apply storytelling techniques in report design for sales, finance, and manufacturing use cases

Module 5: Power BI Service & Security

Estimated time: 5 hours

• Publish reports to Power BI Service
• Manage workspaces, permissions, and embedded APIs
• Configure row-level security (RLS) for data governance
• Utilize Q&A for natural language queries

Module 6: Advanced Analytics

Estimated time: 6 hours

• Integrate Python and R scripts for advanced analytics
• Enable anomaly detection and smart narratives
• Use Copilot for measure generation and AI-driven insights
• Connect to Microsoft Fabric and use dataflows

Module 7: Performance & Administration

Estimated time: 3 hours

• Optimize report and query performance
• Configure data gateways and on-premises report server
• Implement incremental data refresh strategies
• Apply governance and administration best practices

Module 8: Real‑world Projects

Estimated time: 10 hours

• Build a retail sales analytics dashboard with predictive insights
• Develop financial reporting and HR workforce planning dashboards
• Create real-time dashboards using paginated reports and anomaly detection

Prerequisites

• Familiarity with basic data concepts and spreadsheet software
• Basic understanding of databases and querying (helpful but not required)
• Access to a Windows machine for Power BI Desktop installation

What You'll Be Able to Do After

• Design and deploy enterprise-grade Power BI dashboards
• Transform and model complex datasets using Power Query and DAX
• Implement secure, collaborative reporting environments in Power BI Service
• Integrate AI features like Copilot, anomaly detection, and smart narratives
• Prepare confidently for the Microsoft PL-300 certification exam