Financial Modelling
Financial Modelling
Course Description
In today’s data-driven business environment, financial decisions rely on accurate, insightful models. The Financial Modelling course is designed to equip students and professionals with the skills to build robust financial models, forecast business performance, and make data-backed decisions with confidence.
Through practical exercises and real-world case studies, learners will transform raw data into actionable insights, mastering tools like Excel, scenario analysis, and valuation techniques. Whether it’s budgeting, investment appraisal, or financial planning, this course bridges finance theory with hands-on modelling skills for dynamic business roles.
What You’ll Learn From This Course
- Build dynamic financial models for budgeting, forecasting, and decision-making
- Apply valuation techniques including DCF, NPV, IRR, and sensitivity analysis
- Create scenario and risk analysis tools to assess business outcomes
- Interpret financial statements and integrate them into models for strategic insights
- Use Excel and advanced formulas for automation, reporting, and visualization
By the end of this program, learners will confidently design, analyse, and present financial models that support strategic business decisions. The course prepares participants for roles in corporate finance, investment banking, consulting, and other data-driven finance functions, ensuring practical, job-ready skills for today’s financial landscape.
Curriculum
- 15 Sections
- 59 Lessons
- 100 Hours
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- Module 1 - Introduction to Financial Modelling4
- Module 2 - Understanding Financial Statements4
- 2.1Income statement – revenue, cost of goods sold [cogs], gross profit, operating expenses
- 2.2Balance sheet – accounting equation, assets, liabilities & shareholders’ equity. Further, study on deferred revenue, advance billing, accruals & prepaid, minority interest, working capital management deferred tax [books v tax] as such.
- 2.3Effect of changes in one statement affecting other statements including statement of changes in equity
- 2.4Financial ratio analysis – Profitability Ratio, Liquidity Ratio , Leverage Ratio, Efficiency Ratio
- Module 3 - Analysis3
- 3.1Capital Budgeting Analysis – Net Cash Flow, Cumulative Cash Flow, NPV, IRR and Payback Period.
- 3.2Sensitivity & Scenario Analysis – Using MS Excel functions What If Analysis, Goal Seek, Data Table.
- 3.3Cash Flow Statement – Operating, Investing & Financing Cash Flows, Direct Method v Indirect Method, Importance of Cash flow in financial modelling
- Module 4 - Three Statement Model5
- Module 5 - Comparable Company Analysis (CCA)4
- 5.1Built based on financial forecasting & assumptions.
- 5.2Identify & select comparable companies based on size, growth, geographical location, industry or type of sector, production, market capitalization. Valuation Multiples – Market Value Data, Financial Statement Information, EV/Revenue
- 5.3EV/EBITDA, P/E Ratio, Implied Enterprise Value, Implied Market Value of company, Implied value per share.
- 5.4Interpretation & Analyze company with peer comparisons to determine relative valuation.
- Module 6 - Discounted Cash Flow (DCF) Model6
- Module 7 - Leverage Buyout (LBO) Model5
- Module 8 - Mergers & Acquisition (M&A) Model5
- Module 9 - Project Finance Model5
- 9.1Used for long-term infrastructure or development projects with structured financing
- 9.2Public-private partnerships [PPP], energy projects or construction projects
- 9.3Project feasibility and financial viability
- 9.4Cash flow waterfall & project finance structure
- 9.5Loan schedules, Debt-service coverage ratio (DSCR).
- Module 10 - Initial Public Offering (IPO) Model3
- Module 11 - Risk Management3
- Module 12 - Forecasting Techniques for Revenue Growth3
- Module 13 - Sensitivity & Scenario Analysis3
- Module 14 - Power BI & Visualization in Financial Modelling3
- Module 15 - Placement Training3
Students, finance professionals, accountants, analysts, and anyone looking to enhance financial decision-making and Excel modelling skills.
Basic knowledge helps, but beginners can follow along as the course starts with fundamentals and progresses to advanced topics.
Microsoft Excel is the primary tool, including advanced formulas, pivot tables, scenario analysis, and data visualization for real-world modelling.
Yes, participants receive a Professional Certificate in Financial Modelling upon successfully completing the program.
The course is available in online, offline, and recorded formats to suit your schedule and learning preference.
A computer with Microsoft Excel installed, internet access for online classes, and basic office software for practice exercises.
The course is highly practical, with hands-on exercises, case studies, and projects to apply skills in real-world scenarios.
The program is a 100-hour course, covering everything from basic modelling to advanced financial analysis.
Roles such as Financial Analyst, Investment Analyst, Business Analyst, Corporate Finance Associate, and other finance or consulting positions.
Yes, we offer placement support, interview preparation, and resume building to help you land jobs in companies.
Pass Percentage