• Throughout this course, participants will develop strong capabilities in analyzing financial data and transforming it into clear, professional, and decision-ready reports using Power BI. They will learn how to collect, clean, and model financial data from various sources, and how to build interactive dashboards that provide real-time business insights.
• The program helps participants understand how to apply data analytics concepts to budgeting, forecasting, performance measurement, and financial reporting. They will gain hands-on experience in using DAX formulas, Power Query, and visualization techniques to present financial information in a way that supports strategic decision-making.
• By the end of the course, participants will be equipped with the practical skills needed to turn raw financial data into meaningful insights and produce polished, dynamic Power BI reports that add value to their organization.

Course Objectives:

At the end of this course, the participants should be able to:

• Understand Power BI components, workflow, and financial reporting functions.
• Import, clean, and transform financial datasets using Power Query.
• Build data models suitable for financial analytics and reporting.
• Use DAX formulas for financial calculations, KPIs, ratios, and time-intelligence measures.
• Create interactive dashboards, charts, and performance scorecards.
• Develop automated and dynamic financial reports.
• Analyze trends, variances, cash flows, budgets, and forecasts.
• Publish and share dashboards securely within the organization.

Target Audience:

• Finance professionals and accountants
• Financial analysts and auditors
• Business analysts and reporting specialists
• Budgeting and planning teams
• Anyone responsible for financial data analysis or reporting
• Individuals seeking to enhance their Power BI skills in a financial context

• Financial modeling
• Data analytics and interpretation
• Dashboard design and storytelling
• Financial KPIs and performance measurement
• Data transformation and automation
• DAX functions and advanced analytics

Course Methodology:

This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:

• Practical, relevant case studies
• Group activities and workshops
• Related role plays
• Experiential learning
• Brainstorming
• Stimulating mental activities
• Engaging team competitions
• Suitable training Videos
• Presentations
• Self–assessments
• Learning with Simulations and Games

• Power BI environment, tools, and workflow
• Role of Power BI in financial analysis and reporting
• Overview of financial data structures and sources

• Connecting to financial systems and data sources
• Cleaning, normalizing, and shaping financial data
• Handling large datasets and automating data refreshes

• Designing effective data models
• Relationships, star schema, and best practices
• Building models for profit & loss, balance sheet, budget vs. actual, etc.

• Introduction to DAX and key formulas
• Aggregations, KPIs, ratios, and IF logic
• Time-intelligence functions (YTD, QTD, MTD, YoY, rolling averages)
• Financial metrics and variance analysis with DAX

• Choosing the right chart for financial insights
• Creating P&L dashboards, cash flow charts, and balance sheet summaries
• KPI cards, matrices, trend lines, and custom visuals
• Designing intuitive financial user interfaces

• Forecasting and trend analysis
• Scenario analysis and what-if parameters
• Drill-through, drill-down, bookmarks, and storytelling techniques

• Creating interactive management reports
• Building structured financial statements in Power BI
• Dynamic filtering and role-based views
• Automating periodic reporting processes

• Publishing dashboards to Power BI Service
• Managing workspace access and data security
• Refresh schedules and performance optimization
• Exporting to Excel, PDF, and PowerPoint