Advanced Financial Modelling with Excel

Introduction

The Financial Modelling with Excel Course is designed for professionals seeking to elevate their modelling capabilities to an advanced level through hands-on, realistic, and industry-aligned applications. As organisations increasingly rely on quantitative insights for financial planning, risk management, and strategic decision-making, Excel remains the most widely used analytical tool. This Financial Modelling with Excel Training Course provides a structured and practical learning experience, enabling participants to build advanced models that support more confident, data-driven decisions. The course deepens financial knowledge while enhancing technical proficiency. Through real-life case studies, participants develop advanced modelling techniques that help estimate sales, evaluate costs, analyse risks, and incorporate economic variables into highly flexible models. The learning experience focuses on helping delegates construct models that directly support business scenarios, using best-practice approaches widely adopted by leading organisations. Participants will also explore the latest Excel tools and financial analysis techniques to transform raw data into meaningful insights. With models designed to address real organisational challenges, the Financial Modelling with Excel Training Course ensures that delegates leave fully equipped to apply their enhanced skills to improve decision outcomes, reduce costs, and minimise financial risk. Comprehensive supporting material is provided in both print and digital formats to reinforce long-term learning.

Objectives

This Financial Modelling with Excel Training Course helps participants advance their technical and financial capabilities through structured model development and application.

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

• Make more informed financial decisions through Excel-based models
• Develop advanced financial models aligned with business needs
• Apply best-practice techniques and modern Excel tools to analyse financial data
• Manage sales, costs, risks, and variables using integrated financial models
• Prepare, interpret, and report advanced models confidently and accurately

Training Methodology

The Financial Modelling with Excel Training Course uses an interactive, practice-driven learning approach to ensure strong comprehension and retention. Participants work extensively with real-life examples and case studies to strengthen both financial knowledge and modelling capability. The course instructor—an experienced financial practitioner—guides delegates through advanced Excel tools, proven modelling techniques, and structured exercises designed to replicate real organisational challenges. Discussions, hands-on activities, and relevant case studies ensure that learning is immediately applicable. Delegates actively build models throughout the training, enabling them to apply newly acquired skills directly to their personal and organisational development needs.

Who Should Attend?

This Financial Modelling with Excel Course is suited to professionals across different industries who rely on financial data or modelling to support decision-making. It is particularly valuable for individuals seeking to strengthen their technical and analytical capabilities using advanced Excel tools.

This training course will greatly benefit:

• Professionals looking to broaden their financial understanding
• Individuals requiring advanced financial modelling skills
• Decision-makers who depend on financial model outputs
• Managers overseeing financial processes or project evaluations
• Professionals estimating costs, risks, sales, or economic variables

Course Outline

Day 1: Advanced Modelling Skills with Excel

• From Basic Modelling to Advanced Modelling

• Identifying Financial Applications for Modelling in the Oil & Gas sector

• Advanced Financial Applications of Excel

• Advanced Financial Analysis Tools in Excel

• Graphs & Charts to aid Financial Analysis

• Best Practice in Modelling with Excel

Day 2: Estimation Models - Income, Costs, Risks & Economic Variables (Oil Prices, Exchange Rates & Interest Rates)

• Cost Estimation – Incremental; Inflation, PERT, Supply & Demand factors

• Forecasting using Statistical Methods in Excel – Time Series Analysis, Exponential Smoothing, Correlation & Regression Analysis

• Risk Measurement using – Probability Analysis, Correlation & Beta

• Forecasting Oil Prices using statistical models

• Measuring & Managing Investment Risk

• Forecasting Interest Rates & Exchange Rates using historical data, Interest Rate Parity Theory and Purchasing Power Parity Theory

Day 3: Developing an Advanced Financial Optimisation Model

• Developing the Financial Model using Costs and Economic Variables estimated on Day 2

• Simulating changes to Costs & Accounts Payable

• Simulating changes to Sales Volume, Oil Price & Accounts Receivables

• Financial Derivatives – Forwards, Options Futures & Swaps

• Using Derivatives to Managing Oil Price Volatility, Interest Rates & Exchange Rates

• Implementing Policies to manage change

Day 4: Models to Assess Growth Strategies

• Evaluating growth strategies

• Models to simulate growth strategies

• The dangers of Overtrading

• Examining the impact on Working Capital

• Examining the impact on Leverage

• Mergers & Acquisitions – Modelling the impact on Share Price, Market Value, Earnings & EPS

Day 5: Modelling Best Practices

• Case Study incorporating the skills from Day 1 – 4

• Developing an Advanced Financial Optimisation Model to meet the needs of the delegates and their organisation

• Presentation of the Model

• Testing the Model

• Improving the Model

• Decision Making & Reporting