Training on Financial Modeling using Excel will enable participants to acquire the practical knowledge required to build reliable financial models that can be applied to corporate planning and evaluation. Participants will learn best practice design concepts for designing adaptable models using a variety of financial modeling in Excel techniques and functions that are used when creating a complete financial model from scratch.

Target Participants 

Training on Financial Modeling using Excel is aimed at corporate finance professionals, CFOs, financial controllers, finance managers, financial analysts, and business development analysts.

Course Duration 

Online     7 Days

Classroom-based     5 Days

What you will learn 

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

• Prepare effective financial models utilizing powerful Excel functions.
• Use core financial modeling 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 investments decision.

Course Outline  

Introduction to Financial Modeling 

• Financial modeling fundamentals
• Steps in model building
• Key concepts of financial modelling

Getting Acquainted with Excel  

• Making Sense of the Different Versions of Excel
• Defining Modern Excel
• Recognizing the Dangers of Using Excel
• Looking at Alternatives and Supplements to Excel

Planning and Designing a Financial Model 

• Identifying the problem that your financial model needs to solve.
• Designing how the problem’s answer will look.
• Gathering data to put in your model.
• Documenting the limitations of your model
• Structuring your model: What goes where.
• Defining inputs, calculations, and output blocks
• Determining your audience

Excel Tools and Techniques 

• Cell referencing
• Naming ranges
• Linking in excel
• Using shortcuts

Excel Functions and Formulas in Finance 

• The difference between a formula and a function
• Understanding to most important functions and formulas
• Finding the function and you need
• Advanced functions and formulas

Applying Scenarios to Financial Model 

• The Differences between types of analysis
• Building Drop-Down scenarios
• Applying sensitivity analysis with data tables
• Using scenario manager to model loan calculations.

Charting and Presenting Model Output 

• Deciding which data to display
• Conveying your message by charting scenarios
• Deciding which type of chart to use

Building Financial Statements Model

• Entering assumptions
• Calculating revenue
• Calculating expenses
• Building the Income Statement
• Building the Cash Flow Statement
• Building the Balance Sheet
• Building scenarios

Building a Discounted Cash Flow Valuation 

• Understanding how the discounted cash flow valuation works
• Step 1: calculating Free Cash Flow to Firm
• Step 2: calculating Weighted Average Cost of Capital
• Step 3: finding the Terminal Value
• Discounting Cash Flows and Valuation

Integrating Financial Statements Model 

• Making a reusable budget model template
• Creating dynamic titles
• Calculating cash required for budgeted asset purchases.
• Calculating budgeted depreciation
• Calculating the written-down value of assets for the balance sheet

Training Approach 

Training on Financial Modeling using Excel course is delivered by our seasoned trainers who have vast experience as expert professionals in using excel. The course is taught through a mix of practical activities, presentations, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification 

Upon successful completion of this training on financial modeling using Excel course, participants will be issued a certificate.

Tailor-Made Course 

We can also do this as a tailor-made course to meet organization-wide training needs. A training needs assessment will be done on the training participants to collect data on the existing skills, knowledge gaps, training expectations and tailor-made needs.