Financial Performance Analysis and Visualization Using Power BI – A Hands-On Journey into FP&A

Course Description:

This 10-hour course, Financial Performance Analysis and Visualization Using Power BI, offers a hands-on approach to transforming raw corporate data into strategic insights. Participants learn to prepare, model, and analyze 10 years of NSE200 company financials, applying key ratios such as ROA, net profit margin, and debt-equity. Through five structured modules—covering FP&A fundamentals, data transformation, KPI computation, dashboard design, and a business case simulation—learners gain proficiency in Power BI, DAX, and financial storytelling. The capstone project involves creating interactive, multi-page dashboards linking performance metrics to ownership structures, enabling trend, benchmark, and industry insights. Graduates emerge with practical skills in financial data visualization, ready for roles in FP&A, investment analysis, and corporate decision-making, and receive a “Certified Financial Visualization Practitioner – Power BI for FP&A” credential.

Course Curriculum:

Module 1: Introduction to Financial Visualization in FP&A

Duration: 2 Hours

Content Covered:

• Role of FP&A in modern finance
• Overview of the Power BI interface and workflow
• Real-life use cases in financial analysis and investor reporting
• Introduction to the NSE200 dataset and variables (10 years of financial data)
• Basic data exploration and visualization types

Activities:

• Walkthrough of existing dashboards
• Q&A: How visualization improves financial storytelling

Module 2: Data Preparation and Transformation

Duration: 2 Hours

Content Covered:

• Data importing and understanding Power Query Editor
• Renaming variables and managing column consistency
• Handling missing values in financial datasets
• Correcting data types for analytical precision
• Creating calculated columns (e.g., Total Assets, COGS, Quick Assets)
• Key DAX principles for column creation

Hands-On Practice:

• Students clean and transform the NSE200 companies’ dataset using guided steps

Module 3: Financial Modeling and Ratio Computation

Duration: 2.5 Hours

Content Covered:

• Creating derived financial metrics using DAX
  • Net Profit Margin, ROA, Current Ratio, Debt-Equity, ICR, ATR, ITR
• Linking financial variables to ownership structures
• Establishing relationships between tables (data model building)
• Business logic for comparing company size, age, and performance
• Introduction to benchmarking and trend analysis logic

Hands-On Practice:

• Students calculate and validate at least 5 key ratios on their own
• Cross-checking calculated values with manual computation

 

Module 4: Visualization and Dashboard Design

Duration: 2 Hours

Content Covered:

• Choosing the right chart for financial stories (line, bar, pie, scatter, matrix)
• Designing multi-page dashboards (Overview, Financial Ratios, Industry Insights, Ownership Patterns)
• Adding interactivity: Slicers, Drill-downs, Drill-throughs
• Using bookmarks and navigation buttons
• Enhancing visual appeal with consistent themes, fonts, color codes
• Creating tooltip pages for ratio definitions

Hands-On Practice:

• Students design a 3-page interactive financial dashboard
• Peer reviews and instructor feedback

Module 5: Business Case Simulation and Presentation

Duration: 2 Hours

Content Covered:

• Simulating a real FP&A task: "Identify top-performing companies across sectors using 5 financial ratios"
• Students apply filters, build visual narratives, and generate a one-slide financial summary
• Presentation and discussion of dashboard insights
• Reflection: What does this reveal about decision-making using financial data?

Outcome:
Each student presents a compact, professional dashboard demonstrating their end-to-end learning.