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Duration 7 hours
Course Outline
Introduction to PL-300 Certification
- Exam goals and structure
- Assessed skills and competency domains
- Study resources and preparation tactics
Preparing Data for Financial Reports
- Extracting and refining data via Power Query
- Merging various financial data sources
- Managing time-dependent and transactional records
Modeling Financial Data
- Architecting data models for financial analysis
- Defining relationships and hierarchies (e.g., accounts, cost centers, departments)
- Creating measures for monitoring revenue, costs, and profitability
Developing Financial KPIs and Formulas
- Core financial indicators: ROI, variance, margin, and growth
- Applying DAX for year-to-date and rolling computations
- Crafting bespoke KPIs for business performance evaluation
Presenting Financial Insights
- Assembling executive dashboards and scorecards
- Implementing conditional formatting and key influencer visuals
- Generating visuals for variance, trend, and cash flow examination
Exam Readiness and Practice
- Analysis of typical PL-300 questions and scenarios
- Scenario-based tasks reflecting actual exam content
- Final wrap-up: best practices and test-taking techniques
Practical Project: Financial Dashboard Simulation
- Constructing a comprehensive financial analysis report for a sample entity
- Combining data modeling, measures, and visual elements
- Peer evaluation and feedback discussion
Wrap-up and Future Directions
Requirements
- Familiarity with Power BI data modeling and visualization techniques
- Hands-on experience with financial data or reporting
- Foundational knowledge of DAX and Excel formulas
Target Audience
- Financial analysts aiming to obtain the Microsoft PL-300 certification
- BI professionals specializing in financial reporting
- Accountants and finance leaders utilizing Power BI for data-driven decision making
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.