Financial Modelling in Excel

Overview:

Financial modelling in Excel is a foundational skill for finance professionals, analysts, and anyone involved in financial decision-making. This specialized course is designed to equip participants with the essential knowledge and practical skills needed to create accurate and dynamic financial models using Microsoft Excel.

Throughout the course, participants will delve into key topics related to financial modelling, including financial statement modelling, cash flow modelling, and valuation modelling. Emphasis is placed on understanding the principles of financial modelling, including modelling best practices, scenario analysis, and sensitivity analysis.

Participants will learn how to create dynamic financial models that can accommodate changes in assumptions and scenarios, enabling them to perform comprehensive financial analysis and make informed decisions. The course covers Excel functions and formulas essential for financial modelling, as well as advanced features such as data tables, pivot tables, and macros.

Additionally, the course explores best practices for structuring and organizing financial models, including model layout, documentation, and error-checking. Participants will gain insights into how to present financial models effectively to stakeholders, including management, investors, and other decision-makers.

Overall, Financial Modeling in Excel empowers participants with the knowledge and skills necessary to create robust and dynamic financial models to support strategic decision-making and drive organizational success. By mastering these essential concepts and techniques, participants can enhance their analytical capabilities, improve financial forecasting accuracy, and add value to their organizations.

Course Objectives

• Prepare effective financial models utilizing powerful Excel functions

• Use core financial modelling techniques

• Create Scenario Analysis and Dash Boards

• Understand and apply Forecasting concepts and be able to track forecasting errors

• Forecast investments, and calculate valuations of projects and companies in an effective manner

• Develop comprehensive financial models to support investment decision