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Course Outline
Introduction to PL-300 Certification
- Exam objectives and format
- Assessed skills and competency domains
- Recommended preparation resources and study approaches
Data Preparation for Financial Reporting
- Extracting and cleansing data using Power Query
- Merging multiple financial data sources
- Managing time-based and transactional data
Financial Data Modelling
- Structuring data models for financial analysis
- Configuring relationships and hierarchies (e.g., accounts, cost centres, departments)
- Implementing measures for tracking revenue, costs, and profit
Developing Financial KPIs and Calculations
- Essential financial metrics: ROI, variance, margin, and growth rates
- Utilising DAX for year-to-date and rolling calculations
- Designing custom KPIs to support business performance analysis
Visualising Financial Insights
- Building executive dashboards and scorecards
- Applying conditional formatting and key influencer visuals
- Creating visuals for variance, trend, and cash flow analysis
Exam Readiness and Practice
- Reviewing typical PL-300 questions and scenarios
- Case-based exercises aligned with real exam topics
- Final review: best practices and test-taking strategies
Practical Project: Financial Dashboard Simulation
- Constructing a comprehensive financial analysis report for a sample company
- Integrating data modelling, measures, and visual elements
- Peer review and feedback session
Conclusion and Next Steps
Requirements
- Familiarity with Power BI data modelling and visualisation techniques
- Experience handling financial data or reports
- Foundational knowledge of DAX and Excel formulas
Target Audience
- Financial analysts preparing for the Microsoft PL-300 certification
- Business intelligence professionals with a focus on financial reporting
- Accountants and finance managers leveraging Power BI for data-driven insights
7 Hours
Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics
Method of training.