Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 7 hours
Course Outline
Introduction to PL-300 Certification
- Exam structure and key objectives
- Competency areas and skills being assessed
- Recommended study strategies and preparation resources
Data Preparation for Financial Reporting
- Extracting and cleaning data via 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 (e.g., accounts, cost centers, departments)
- Defining measures for tracking revenue, costs, and profit
Developing Financial KPIs and Calculations
- Core financial metrics: ROI, variance, margin, and growth rates
- Applying DAX for year-to-date and rolling calculations
- Crafting custom KPIs for business performance evaluation
Visualizing Financial Insights
- Constructing executive dashboards and scorecards
- Utilizing conditional formatting and key influencers visuals
- Generating visuals for variance, trend, and cash flow analysis
Exam Preparation and Practice
- Analyzing common PL-300 questions and scenarios
- Case-based exercises aligned with actual exam topics
- Final review: best practices and test-taking strategies
Hands-on Project: Financial Dashboard Simulation
- Creating a comprehensive financial analysis report for a sample company
- Integrating data modeling, measures, and visual elements
- Peer review and feedback session
Wrap-up and Next Steps
Requirements
- Familiarity with Power BI data modeling and visualization techniques
- Practical experience handling financial data or reports
- Fundamental understanding of DAX and Excel formulas
Target Audience
- Financial analysts aiming to secure 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.