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Course Outline
Introduction to PL-300 Certification
- Exam objectives and structural overview.
- Assessed skills and competency domains.
- Recommended preparation resources and study methodologies.
Financial Data Preparation for Reporting
- Extracting and cleansing data through Power Query.
- Consolidating diverse financial data sources.
- Managing time-based and transactional data structures.
Financial Data Modelling
- Architecting data models tailored for financial analysis.
- Establishing relationships and hierarchies (accounts, cost centres, departments).
- Defining measures for monitoring revenue, costs, and profitability.
Developing Financial KPIs and Calculations
- Key metrics: ROI, variance, margin, and growth rates.
- Leveraging DAX for year-to-date and rolling calculations.
- Engineering custom KPIs for performance analysis.
Visualising Financial Insights
- Constructing executive dashboards and scorecards.
- Applying conditional formatting and key influencer visuals.
- Generating visuals for variance, trend, and cash flow analysis.
Exam Preparation and Practice
- Analysis of common PL-300 question patterns and scenarios.
- Scenario-based exercises reflecting actual exam topics.
- Final wrap-up: best practices and test-taking strategies.
Practical Project: Financial Dashboard Simulation
- Assembling a comprehensive financial analysis report for a sample entity.
- Integrating data modelling, measures, and visual elements.
- Conducting peer reviews and feedback sessions.
Conclusion and Future Pathways
Requirements
- Foundational knowledge of Power BI data modelling and visualisation.
- Practical experience with financial data or reporting workflows.
- Basic proficiency in DAX and Excel formulas.
Target Audience
- Financial analysts aiming for the Microsoft PL-300 certification.
- Business intelligence specialists 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.