Key Benefits
- Build structured, flexible, and transparent financial models using best practice Excel design
- Improve forecasting of revenue, costs, cash flow, and financing using practical modelling techniques
- Present and test model outputs more effectively with sensitivity analysis, charts, pivot tables, and reporting tools
Do You Need to Attend This Course?
Sessions at Redcliffe training are ideal for professionals with some knowledge of Excel who wish to take their skills to the next level:
Analysts
Accountants
Model-builders
Budget controllers
Professionals who prepare forecasts and business plans will all benefit from the new knowledge and best practices gained from financial modelling in Excel training
Technical Content
Day One
Introduction & Course Objectives
Financial modelling in Excel training begins by building a strong foundation and introducing the key principles behind effective model construction. This opening session covers:
Overview of course objectives
Review of models and their objectives
Overall Model Structure & Design
The best financial modelling practice
Overall structure of the model
Logic flow within the model
Separation of inputs, calculations and outputs
Defining desired outputs
Setting up required inputs
Use of switches to allow option selection
Use of flags to control timing factors
Set up for flexibility
Consistency in the model
Accommodating multiple options
Building assumptions from term sheets or other external inputs
Using the assumptions sheets as a sign-off document
Restricting ranges of inputs and validation criteria
Version control is covered within this Excel for financial modelling course
Use of the corkscrew technique
Tracking changes
Documentation
Exercise – Create a simple model with an assumptions/input sheet with built-in flexibility
Modelling Techniques for Revenue and Cost Forecasts
Translating assumptions & inputs into a model forecast: Overall growth
Split volume and price
Split volume into market growth and market share
Top-down market sizing, market share and price
Build-up of construction or other capital costs
Correct matching of units
Modelling pricing & revenue assumptions
Use of lookup and INDEX/MATCH functions to change expenditure timings
Building sensitivities into the model
Exercises:
Build up revenue forecasts with different techniques and granularity levels
Build a capex forecast with flexible timing
Day Two
Inflation / Escalation Factors
Day Two of this Excel and financial modelling course builds on core concepts. This session explores how inflation and escalation factors are modelled and controlled, including:
Creating inflation indices
Controlling the start time of the inflationary pattern
Applying multiple rates to different cost & revenue items
Varying inflation rates over the life of the model
Exercise – model multiple variable inflation rates, with different starting points and changing rates over the life of the model
Cash Flow Modelling
The differences between the income statement and the cash flow
Organising cash flow statements
What is working capital?
Review modelling changes in receivables, inventory, and payables
Income statement items that are not cash: adjustments needed
Cash items not in the income statement: adjustments needed
Financing cash flows: changes in debt & equity
Financial modelling in Excel training covers revolving facilities and their role in cash flow forecasting
Exercise: create a cash flow model to forecast cash inflows and outflows for a trading business, drawing on revolving facilities as needed.
Comparing a Model to Previous Versions of the Model
Separate runs and variation of inputs
Comparison of actuals to forecast
Comparing the results of different versions of the same model
Reviewing future implications of variances
Example – from different versions of a modelled forecast, calculate variances and review future assumptions
Day Three
Sensitivity Analysis in a Model
Day Three focuses on sensitivity analysis tools and techniques for testing key assumptions, evaluating alternative scenarios, comparing potential outcomes, and gaining a deeper understanding of model risk. Participants will learn how to assess the impact of changing variables on model performance and support more informed decision-making throughout this Excel course for financial modelling, including:
Model stress-testing
Varying inputs to assess the effect on results
Use of built-in sensitivity inputs
Use of goal seek & solver
Version control to allow comparison of outputs
Use of Excel tools to support sensitivity analysis: watch window function
data tables
scenario manager
Exercise – from a given model of cash flows, P&L and balance sheet, calculate the effect of varying inputs to a given degree, and stress-test the model to break-even.
Reporting Outputs
Design techniques to enable optimisation
Consolidation techniques covered in this Excel modelling course: Add-through
Sum-through
Sum & Group
Consolidate function in Excel
Use of charts & graphics
Using pivot tables: Pivot table wizard
Setting up tables
Changing parameters
Analysing pivot table data
Drill-down function
Exercise – from a given set of outputs, create output tables, pivot tables and consolidations to enable flexible reportin g
Advanced Excel Functions
Advanced financial mathematics – PMT, PPMT, IPMT, NPER
Summation & counting functions in Excel: COUNT, COUNTA, COUNTIF, AVERAGE, AVERAGEIF, SUMIF, SUMIFS
Statistical functions in Excel
Depreciation functions in Excel
Date and time functions in Excel
Lookup and Reference formulae: Lookups, OFFSET and MATCH formulae
Logical functions – using TRUE, FALSE, IF, AND & OR in combination are covered in this Excel for financial modelling course
Text functions in Excel: LEFT, RIGHT, MID, LEN and wildcard
Exercises: Model a loan using some of the advanced functions learned
Summarise messy data without cleaning it, using text functions
Wrap-Up
Overall review
Key points to reiterate
Brief introduction to further exercises and reading
Final questions and issues to discuss
Please note - Training can be tailored to your needs, combining a flexible mix of modules and topics to fit your team’s priorities and preferred duration.
Training Objectives
Sessions build structured and logical models that are flexible, transparent, and easy to update.
Participants will be able to apply advanced Excel functions and techniques for forecasting, analysis, and reporting.
Training aids the translation of assumptions and inputs into accurate revenue, cost, and cash flow projections.
Attendees will perform sensitivity and scenario analysis to test models under varying conditions.
This Excel and financial modelling course presents outputs effectively using charts, pivot tables, and consolidated reporting tools.
Training Course Summary
This Excel course for financial modelling teaches intermediate Excel skills, not just technical. Covering many productivity-enhancing functions and features, sessions explore how to structure and logically organise spreadsheets, making them user-friendly, time-saving and easily transferable.
Your trainer
Course Trainer · 30 yrs experience
- Financial Modelling Courses
Delivering Redcliffe’s Excel modelling course is a specialist with over 30 years of experience in various finance-based roles. He has also delivered training for several international training companies since 2005. Having trained as a Chartered Accountant at KPMG in South Africa and New Zealand, he moved into the industry with Ford Motor Company. Holding various positions in financial analysis, budgeting, and forecasting, he was appointed sales planning manager, responsible for forecasting models, production planning, and supply logistics. He joined a multinational private consultancy group in Australia as their general manager (finance), where he guided the group through a period of major change and financial turnaround. For the past 21 years, our Excel for financial modelling course leader has worked as a freelance financial modeller, analyst and trainer for a range of blue-chip clients. Assignments have included financial modelling for two major LNG projects in the Middle East, numerous renewable energy projects in both Europe and developing countries, structured financing for a large-scale property development, restructuring and outsourcing projects in the retail gas sector, and PPP transactions in the utilities, health and support services sectors. With an extensive accounting background, this expert brings accounting knowledge and analytical skills to transactions and modelling. He has built highly valuable experience in financial modelling across numerous sectors, including gas production, electricity generation, energy retailing, waste processing and property development. This specialist has built financial models in central government departments, retail enterprises and high-volume online environments. Having built, developed and used models to support commercial negotiations, analyse risk, test scenarios and forecast results, financial modelling in Excel training is knowledge-led.
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