Financial Data Analysis with Excel, Python and Power BI

Clean, transform, analyze, and visualize financial data using Excel, Python, R, and Power BI. In this course, you’ll develop practical data analysis skills used by financial analysts to turn raw data into clear business insights. You’ll start by building structured financial budgets in Excel using advanced formulas and lookup tools. Then, you’ll clean and transform datasets using Python and apply statistical summaries in R. You’ll learn how to import and reshape structured and semi-structured data, including JSON files. Finally, you’ll design interactive Power BI dashboards, apply star-schema modeling, and implement row-level security for controlled reporting. What makes this course unique is its multi-tool approach. You won’t rely on one platform—you’ll learn how Excel, Python, R, and Power BI work together in real finance workflows. The course concludes with a portfolio-ready project where you transform retail financial data and build a performance dashboard for business reporting

• Clean and transform financial datasets using Excel and Python
• Build interactive Power BI dashboards with secure data models
• Apply statistical summaries and data visualization for financial reporting
• Import and reshape structured and semi-structured data including JSON files
• Design controlled financial reports with advanced security

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work