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Duration 7 hours
Course Outline
Overview of the PL-300 Certification
- Exam objectives and structure
- Assessed skills and competency areas
- Preparation resources and effective study strategies
Data Preparation for Financial Reporting
- Extracting and cleaning data using Power Query
- Integrating multiple financial data sources
- Managing time-based and transactional data
Financial Data Modeling
- Designing data models tailored for financial analysis
- Establishing relationships and hierarchies (accounts, cost centers, departments)
- Implementing measures for tracking revenue, cost, and profit
Developing Financial KPIs and Calculations
- Key financial metrics: ROI, variance, margin, and growth rate
- Using DAX for year-to-date and rolling calculations
- Creating custom KPIs for business performance analysis
Visualizing Financial Insights
- Constructing executive dashboards and scorecards
- Applying conditional formatting and key influencer visuals
- Designing visuals for variance, trend, and cash flow analysis
Exam Preparation and Practice
- Review of common PL-300 questions and scenarios
- Case-based exercises based on real exam topics
- Final review: best practices and test-taking strategies
Hands-on Project: Financial Dashboard Simulation
- Building a comprehensive financial analysis report for a sample company
- Integrating data modeling, measures, and visuals
- Peer review and feedback session
Summary and Next Steps
Requirements
- Foundational understanding of data modeling and visualization in Power BI
- Practical experience working with financial data or reports
- Basic knowledge of DAX and Excel formulas
Who This Is For
- Financial analysts aiming for the Microsoft PL-300 certification
- Business intelligence specialists focused on financial reporting
- Accountants and finance managers leveraging Power BI for data-driven insights
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.