Financial Modelling & Business Analytics Training Course

This course combines the practical skills of financial modelling with the power of business analytics to enable data-driven decision-making. Participants will learn how to build dynamic financial models in Excel, integrate business analytics tools, and apply predictive and scenario analysis for strategic insights. The training emphasizes linking financial performance with business intelligence to support forecasting, valuation, budgeting, and strategic planning across industries.

Target Groups

• Financial analysts, investment analysts, and consultants.
• Business managers and strategy officers.
• Accountants and finance professionals seeking data analytics skills.
• Professionals in banking, insurance, and corporate finance.
• Entrepreneurs and business owners making strategic decisions.
• Graduate students and trainees in finance and business analytics.

Course Objectives

By the end of this course, participants will be able to:

1. Understand the fundamentals of financial modelling and business analytics.
2. Build dynamic and flexible financial models in Excel.
3. Apply forecasting techniques and scenario planning.
4. Integrate data analytics into financial decision-making.
5. Use advanced Excel functions, Power Query, and Power BI for analysis.
6. Perform valuation, sensitivity, and break-even analysis.
7. Interpret financial and non-financial data using analytics dashboards.
8. Enhance decision-making through predictive and prescriptive modelling.
9. Present financial insights effectively using visualization tools.
10. Apply best practices in model design, testing, and auditing.

Course Modules

Module 1: Introduction to Financial Modelling & Business Analytics

• Role of financial modelling in decision-making.
• Evolution of business analytics in finance.
• Key tools and software overview.

Module 2: Building Robust Financial Models

• Structure and design principles.
• Linking income statement, balance sheet, and cash flow models.
• Model testing and error-checking.

Module 3: Advanced Excel for Financial Modelling

• Lookup functions, dynamic arrays, and pivot tables.
• Scenario manager and data tables.
• Financial and statistical functions.

Module 4: Forecasting & Scenario Analysis

• Time-series forecasting techniques.
• Sensitivity and what-if analysis.
• Building multi-scenario models.

Module 5: Valuation & Investment Analysis Models

• Discounted cash flow (DCF) modelling.
• Comparable company analysis.
• Break-even and profitability analysis.

Module 6: Introduction to Business Analytics in Finance

• Types of analytics: descriptive, predictive, prescriptive.
• Data collection and cleaning techniques.
• Role of analytics in corporate decision-making.

Module 7: Business Intelligence Tools & Dashboards

• Using Power BI and Tableau for financial dashboards.
• Integrating data sources for insights.
• Visualization best practices.

Module 8: Predictive & Prescriptive Analytics Applications

• Regression and correlation analysis.
• Machine learning basics for financial analysis.
• Optimisation models for resource allocation.

Module 9: Presenting Financial Insights

• Creating professional reports and dashboards.
• Storytelling with financial data.
• Communicating results to executives and stakeholders.

Module 10: Case Studies & Best Practices

• Case study: building a financial forecast model with analytics integration.
• Practical workshop: developing an investment analysis model.
• Best practices in model design, documentation, and auditing.