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Financial Modelling in Excel

(PS)-00003

Brisbane

$880.00per person

1 Day, 9:00am - 5:00pm

Public / Open

This course is designed for business professionals who need to explore the practical usage of advanced excel functions in a financial model. By creating your own user-friendly financial model, you will learn to translate business concepts into a structured format to identify weaknesses and predict future performance.
Financial Modelling Theory & Best Practice
  • Overview of Financial Modelling
  • Model Design, planning and steps in building your model
  • Upgrading from Excel 2003 to 2007 or 2010
  • The technical, design, business and industry knowledge required for financial modelling
  • Purposes of financial models
Model Tools & Functions
  • Which formula or tool is most appropriate in which modelling situation?
  • Selecting the correct formula
  • Adjusting formulas manually
Named Ranges
  • Applying absolute and relative cell referencing and it’s importance in Financial Modelling
  • Use of LOOKUP functions, aggregation functions such as SUMIFS, COUNTIFS and nested formulas within a financial model and others
  • How to model compounding inflation
  • Calculating customer acquisition numbers from the potential pool of customers
  • Modelling market penetration in a business case
Financial Functions
  • IRR (Internal Rate of Return)
  • NPV (Net Present Value)
  • How to calculate a payback period
Modelling Techniques
  • What makes a good model?
  • Best practice in financial modelling
  • Attributes of a good model such as user-friendly and structural features
Error Prevention
  • Modelling techniques and strategies to reduce potential for error
  • Identifying and correcting common errors

  • Avoiding error displays in formulas
  • Creating in-built, self-balancing error checks and error alerts
Other Useful Tools
  • Hiding sections of the model
  • Using Goal Seek within Financial Models
  • Macros and FinancialModelling
  • Pivot tables and their use in Financial Modelling
Rebuilding an inherited model
  • Formula auditing
  • ""Sense-checking"" methodology
  • Identifying formula error
  • Dealing with links and the potential errors they can cause
Bullet-proofing your model
  • Protect data by locking cells
  • Password Protection
  • Restricting incorrect data entry with data validations
  • Using worksheet protection to prevent entry
  • Protecting your file using “Read Only” and password protection
  • Retain model integrity and prevent misuse of your model by learning to restrict incorrect inputs
Making a model user-friendlyFormatting
  • Inserting Navigation buttons
  • Hyperlinks
  • Scenarios and Sensitivity Analysis
    • Manual sensitivity analysis
    • Creating drop-down switches for scenario selection
    • Adjusting inputs variables to impact outcomes
    • What-if analysis
    • Stress-testing
    Assumption Documentation
    • Why document assumptions?
    • Linking to source referencing
    • Importance of assumptions when assessing risk
    • Mitigate liability by including appropriate caveats and key assumptions
    Presentation of Model Output
    • Summarising results and display of findings
    • Communicate the results of your model clearly and concisely whilst getting the key message across to the audience
    • Summarising key assumptions, documentation and source referencing
    • Writing operation instructions
    • Summarising model data into a presentation"
    You will learn how to:
    • Build a financial model from scratch, or modify and improve an inherited model
    • Select the most appropriate formula to achieve the desired outcome
    • Identify common errors in modelling
    • Mitigate errors by building in error checks

    • Prevent incorrect use of your model by protecting worksheets
    • Validate data entry by setting data entry parameters
    • Create a navigation page to help users find their way around your model
    • Develop drop-down boxes which enable a model to produce a series of results depending on scenario variable selected
    • Mitigate liability by providing assumptions

    • Write instructions for use
    • Gain an in-depth understanding of how to build a business case
    • Communicate the results of your model clearly and concisely"

    Prerequisites:

    The course material includes extensive use of Excel and participants will gain the maximum benefit from this course if they are already competent spreadsheets users. It is designed for users who do use (or will use) Excel on a regular basis, and are comfortable with using its tools and functions.

    At minimum, it is assumed that participants will know how to:

    • Navigate confidently in Excel
    • Create and use formulas
    • Link between workbooks
    • Build a basic chart

    This course is designed for business professionals who need to explore the practical usage of advanced excel functions in a financial model. By creating your own user-friendly financial model, you will learn to translate business concepts into a structured format to identify weaknesses and predict future performance.
    Financial Modelling Theory & Best Practice
    • Overview of Financial Modelling
    • Model Design, planning and steps in building your model
    • Upgrading from Excel 2003 to 2007 or 2010
    • The technical, design, business and industry knowledge required for financial modelling
    • Purposes of financial models
    Model Tools & Functions
    • Which formula or tool is most appropriate in which modelling situation?
    • Selecting the correct formula
    • Adjusting formulas manually
    Named Ranges
    • Applying absolute and relative cell referencing and it’s importance in Financial Modelling
    • Use of LOOKUP functions, aggregation functions such as SUMIFS, COUNTIFS and nested formulas within a financial model and others
    • How to model compounding inflation
    • Calculating customer acquisition numbers from the potential pool of customers
    • Modelling market penetration in a business case
    Financial Functions
    • IRR (Internal Rate of Return)
    • NPV (Net Present Value)
    • How to calculate a payback period
    Modelling Techniques
    • What makes a good model?
    • Best practice in financial modelling
    • Attributes of a good model such as user-friendly and structural features
    Error Prevention
    • Modelling techniques and strategies to reduce potential for error
    • Identifying and correcting common errors

    • Avoiding error displays in formulas
    • Creating in-built, self-balancing error checks and error alerts
    Other Useful Tools
    • Hiding sections of the model
    • Using Goal Seek within Financial Models
    • Macros and FinancialModelling
    • Pivot tables and their use in Financial Modelling
    Rebuilding an inherited model
    • Formula auditing
    • ""Sense-checking"" methodology
    • Identifying formula error
    • Dealing with links and the potential errors they can cause
    Bullet-proofing your model
    • Protect data by locking cells
    • Password Protection
    • Restricting incorrect data entry with data validations
    • Using worksheet protection to prevent entry
    • Protecting your file using “Read Only” and password protection
    • Retain model integrity and prevent misuse of your model by learning to restrict incorrect inputs
    Making a model user-friendlyFormatting
  • Inserting Navigation buttons
  • Hyperlinks
  • Scenarios and Sensitivity Analysis
    • Manual sensitivity analysis
    • Creating drop-down switches for scenario selection
    • Adjusting inputs variables to impact outcomes
    • What-if analysis
    • Stress-testing
    Assumption Documentation
    • Why document assumptions?
    • Linking to source referencing
    • Importance of assumptions when assessing risk
    • Mitigate liability by including appropriate caveats and key assumptions
    Presentation of Model Output
    • Summarising results and display of findings
    • Communicate the results of your model clearly and concisely whilst getting the key message across to the audience
    • Summarising key assumptions, documentation and source referencing
    • Writing operation instructions
    • Summarising model data into a presentation"
    You will learn how to:
    • Build a financial model from scratch, or modify and improve an inherited model
    • Select the most appropriate formula to achieve the desired outcome
    • Identify common errors in modelling
    • Mitigate errors by building in error checks

    • Prevent incorrect use of your model by protecting worksheets
    • Validate data entry by setting data entry parameters
    • Create a navigation page to help users find their way around your model
    • Develop drop-down boxes which enable a model to produce a series of results depending on scenario variable selected
    • Mitigate liability by providing assumptions

    • Write instructions for use
    • Gain an in-depth understanding of how to build a business case
    • Communicate the results of your model clearly and concisely"

    Prequisites:

    The course material includes extensive use of Excel and participants will gain the maximum benefit from this course if they are already competent spreadsheets users. It is designed for users who do use (or will use) Excel on a regular basis, and are comfortable with using its tools and functions.

    At minimum, it is assumed that participants will know how to:

    • Navigate confidently in Excel
    • Create and use formulas
    • Link between workbooks
    • Build a basic chart

    Plum Solutions

    Plum Solutions delivers training in the following course categories

    • Financial Modeling
    • Financial Services

    Plum Solutions Training Courses and Open Programs in Sydney, Melbourne and Brisbane, Australia.

    Short Courses and In-House Training Programs:

    With Training Courses available in these categories:

    Financial Modelling | Budgeting & Forecasting | Business Cases & Pricing Models | Data Analysis

    Call us to book on 1300 768 368

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