Duration: 12 Weeks
Schedule: Friday, Saturday & Sunday
Total Sessions: 36
Format: Instructor-led + Hands-on Projects

Target Audience:
Students, Finance Professionals, Accountants, Business Analysts, Data Analysts, Freelancers and Working Professionals

Core Stack:
Excel | Power Query | SQL | Power BI | DAX | Python | Pandas | Financial Modeling | Forecasting

COURSE OBJECTIVE

This program is designed to take students from financial-data fundamentals to building professional financial analytics solutions.

By the end of the training, students will be able to:

• Understand financial statements and business KPIs
• Analyze revenue, expenses and profitability
• Clean and transform financial data
• Write SQL queries against financial databases
• Build financial data models
• Develop professional Power BI dashboards
• Use DAX for financial KPIs and time intelligence
• Analyze financial data using Python
• Build revenue, expense and cash-flow forecasts
• Perform budget vs actual and variance analysis
• Identify financial trends, anomalies and risks
• Present financial insights to management

PROGRAM OUTCOME

By the end of the 12-week program, students will have developed practical skills across financial analysis, Excel, SQL, Power BI, DAX, Python, financial modeling, forecasting and executive reporting, supported by multiple portfolio projects and a complete capstone project.