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Foundations of financial modeling gives finance and project professionals a structured, applied pathway from core financial accounting principles through to sophisticated Excel-based financial models used in real project and investment environments.
The course begins with financial statements, ratio analysis, budgets, OPEX and CAPEX, and financial terminology before building into Excel fundamentals, flowcharting, pivot tables, and the steps to develop a financial model from scratch.
Financial modelling content covers forecasting the income statement, balance sheet, and cash flow statement, budgeting models, purchase and finance decisions, and capital investment appraisal using payback, ARR, NPV, and IRR in Excel.
Risk modelling is addressed through sensitivity analysis, scenario analysis, break-even analysis, and interest rate and exchange rate modelling — with specific application to the oil and gas sector.
The course closes with project performance modelling, covering variance analysis, critical path analysis, GANTT charts, earned value analysis, and project simulation — giving delegates a complete end-to-end modelling capability.
This foundations of financial modeling course is designed to give delegates a working command of financial accounting principles, Excel modelling techniques, financial forecasting, risk analysis, and project performance modelling — with direct application to oil and gas project environments.
By the end of this course, delegates will be able to:
This foundations of financial modeling course is designed for finance, project, and operations professionals who need to build structured financial modelling capability — particularly those working in or with oil and gas project environments.
This course is suitable for:
This foundations of financial modeling course is delivered through structured technical instruction and applied Excel modelling sessions integrated throughout every stage of the course — ensuring delegates build real, transferable modelling capability alongside the financial and project management frameworks that underpin each model.
Delivery methods include:
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The course begins with basic Excel functions and the foundational tools needed to build financial models before progressing to more advanced techniques including pivot tables, flowcharting for model structure, and investment appraisal functions. No advanced Excel expertise is assumed at the start. Delegates build their Excel capability progressively through applied modelling exercises across all five days, leaving with hands-on experience of building real financial models rather than observing demonstrations.
Capital investment decisions are covered using payback, ARR, NPV, and IRR as the primary appraisal techniques, all applied directly within Excel models. The cost of capital, equity and debt financing decisions, and the modelling of OPEX and CAPEX are addressed alongside the appraisal tools to give delegates a complete investment decision-making framework. Delegates build these models themselves during the course rather than working from pre-built templates, ensuring they understand the structure and logic behind each appraisal approach.
Interest rate and exchange rate risk are addressed within the risk management scenario content, covering how changes in these external financial variables are modelled within a financial model to assess their impact on project economics and organisational financial performance. Delegates learn how to build models that allow interest rate and exchange rate assumptions to be changed as inputs and see the resulting effect on key financial outputs, which is directly applicable to oil and gas project finance and international commercial environments.
The course covers the development of income statements, balance sheets, and cash flow statements as both standalone financial accounting outputs and as integrated components of a financial forecast model. Delegates first learn how to prepare and interpret financial statements using ratio analysis and financial performance measurement, and then apply those same statements as the foundation for forecasting models that project future financial performance under different planning assumptions.
The major risks specific to the oil and gas sector are identified and used as the context for the risk modelling content, covering how commodity price volatility, operational risk, and project uncertainty are captured and modelled within financial scenarios. Sensitivity analysis, scenario analysis, and break-even analysis are all applied to oil and gas financial decision contexts, giving delegates a directly relevant risk modelling capability for the sector rather than a generic financial risk framework.
Critical path analysis is addressed with specific attention to its financial and manpower implications rather than purely as a scheduling tool, covering how delays on the critical path translate into cost overruns, resource allocation changes, and financial performance impacts. GANTT charts are constructed and used as a visual planning and monitoring tool within the project modelling sessions. Together these techniques give delegates a complete view of how project timeline management and financial performance management are connected within oil and gas project environments.
