Business Analytics In
Financial Modeling

The Financial Modeling course is designed to equip learners with the skills and techniques necessary to build and analyze financial models using Excel. This course covers the foundational concepts of financial modeling, including forecasting, valuation, sensitivity analysis, and scenario planning. Participants will learn how to construct robust financial models to support investment decisions, business planning, and financial analysis.

Overview

Financial Modelling

Course Learning Objectives

The "Financial Modelling with Excel" course is designed to provide participants with the skills and techniques necessary to build and utilize financial models in Excel for business planning, investment analysis, and decision-making. The course covers the fundamental principles of financial modeling, including the creation of detailed financial statements, forecasting, valuation methods, and scenario analysis. Learners will gain hands-on experience in constructing robust financial models that can be used to evaluate business performance and make strategic financial decisions.

Course Learning Outcomes (CLOs) <

>
Understanding Financial Modelling:
  • Comprehend the key concepts and components of financial modeling.
  • Recognize the importance and applications of financial models in business contexts.
    Building Financial Statements:
  • Construct comprehensive financial statements (income statement, balance sheet, and cash flow statement) from scratch.
  • Ensure the integration and consistency of financial statements within a model.
    Forecasting and Projections:
  • Develop realistic financial forecasts using historical data and assumptions.
  • Apply techniques for revenue, expense, and cash flow projections.
    Valuation Techniques:
  • Perform company valuation using methods such as Discounted Cash Flow (DCF), Comparable Company Analysis, and Precedent Transactions.
  • Interpret and analyze the outputs of valuation models. Scenario and Sensitivity Analysis:
    Conduct scenario analysis to evaluate the impact of different business scenarios on financial outcomes. Perform sensitivity analysis to identify key drivers and assess the risk in financial models.
    Advanced Excel Functions for Financial Modelling:
    Utilize advanced Excel functions and tools, such as nested IF statements, array formulas, and data tables, to enhance financial models. Implement error-checking and validation techniques to ensure model accuracy and reliability.

    Student Learning Outcomes (SLOs): <

    >
    Proficiency in Financial Statement Construction:
  • Demonstrate the ability to build and link financial statements accurately in Excel.
  • Ensure consistency and accuracy in financial model outputs.
    Analytical Skills in Forecasting:
  • Apply appropriate methods to create financial forecasts and projections.
  • Evaluate and justify the assumptions used in financial forecasts.
    Valuation and Investment Analysis:
  • Conduct thorough valuation analysis using various methods.
  • Interpret valuation results and provide insightful recommendations based on model outputs.
    Scenario Planning and Risk Assessment:
  • Create and analyze multiple business scenarios to understand potential outcomes.
  • Identify and evaluate the impact of key variables on financial performance through sensitivity analysis.
    Technical Expertise in Excel:
  • Master advanced Excel functions and tools specific to financial modeling.
  • Implement best practices in model design, including error-checking and model auditing.\
    Effective Communication of Financial Insights:
  • Present financial model findings and recommendations clearly and concisely.
  • Develop professional reports and presentations to communicate financial insights to stakeholders.
    By the end of the course, students will have the capability to construct sophisticated financial models that can support various business decisions, investment analyses, and strategic planning initiatives, thereby enhancing their proficiency in financial analysis and modeling using Excel.

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    Study contents

    Contents

    Studying Financial Modeling typically involves learning a set of skills and techniques aimed at building mathematical models to represent the financial performance and projections of a company or investment opportunity. Here’s an outline of the key study contents you might encounter in a comprehensive Financial Modeling course:
    Foundation Concepts:

  • Introduction to Financial Modeling:
  • Understanding the purpose and importance of financial modeling.
  • Overview of different types of financial models (e.g., valuation models, forecasting models).
    Excel Basics for Financial Modeling:
  • Navigating Excel for financial modeling: data entry, formatting, basic formulas and functions (SUM, IF, VLOOKUP).
  • Using Excel for data manipulation and analysis.
    Financial Statement Analysis:
  • Understanding Financial Statements:

  • - Overview of the three main financial statements (Income Statement, Balance Sheet, Cash Flow Statement).
    - Analyzing financial statements to assess company performance and financial health.
  • Financial Ratios and Metrics:

  • - Calculation and interpretation of key financial ratios (liquidity ratios, profitability ratios, leverage ratios).
    - Using ratios to evaluate performance and make financial decisions.
    Forecasting Techniques:
  • Time Value of Money:

  • - Concepts of present value (PV), future value (FV), and net present value (NPV).
    - Applying time value of money principles to financial decision-making.
  • Forecasting Financial Statements:

  • - Projecting income statements, balance sheets, and cash flow statements.
    - Incorporating historical data, growth assumptions, and macroeconomic factors into forecasts.
  • Scenario Analysis and Sensitivity Analysis:
  • - Creating scenarios to evaluate different outcomes based on varying assumptions. - Performing sensitivity analysis to assess the impact of changes in key variables on financial outcomes.
    Valuation Methods:
  • Discounted Cash Flow (DCF) Analysis:
  • - Understanding DCF methodology for valuing companies and investments. - Estimating cash flows, calculating discount rates (WACC), and determining terminal value.
  • Relative Valuation:
  • - Comparing companies based on multiples (e.g., P/E ratio, EV/EBITDA). - Conducting industry and peer group analysis to determine relative value.
    Advanced Modeling Techniques:
  • Building Integrated Financial Models:
  • - Integrating income statement, balance sheet, and cash flow statement projections. - Linking financial statements dynamically using Excel formulas and functions.
  • Risk Modeling and Monte Carlo Simulation:
  • - Assessing risk and uncertainty in financial models. - Using Monte Carlo simulation to generate probabilistic outcomes and evaluate risk-adjusted returns.
    Applications and Case Studies:
  • Business Valuation:
  • - Applying financial modeling techniques to value private companies, public companies, and projects. - Analyzing valuation scenarios and making investment recommendations.
  • Investment Analysis:
  • - Evaluating investment opportunities using financial modeling. - Performing due diligence and making investment decisions based on financial analysis.
    Practical Skills and Tools:
  • Excel Tips and Tricks for Financial Modelers:
  • - Advanced Excel functions (INDEX, MATCH, OFFSET), data validation, conditional formatting. - Building user-friendly and error-free financial models.
  • Presentation and Communication Skills:
  • - Effectively communicating financial analysis and modeling results to stakeholders. - Presenting findings and recommendations clearly and persuasively.
    Resources for Learning: - Books: "Financial Modeling" by Simon Benninga, "Principles of Finance with Excel" by Simon Benninga. - Courses: Online platforms like Coursera, edX, and financial modeling training providers offer courses with practical exercises and case studies. - Software: Besides Excel, familiarity with specialized financial modeling software like Bloomberg Terminal, Capital IQ, or financial modeling add-ins can be advantageous in some settings. By mastering these study contents, individuals can develop robust financial modeling skills applicable across various industries, including finance, consulting, corporate finance, investment banking, and real estate.

    Admission

    Admissions Criteria

  • Educational background is not mandatory.
  • Basic proficiency in using spreadsheet software like Microsoft Excel is often required. Familiarity with financial concepts such as accounting principles, financial statements, and basic financial mathematics (e.g., time value of money) may also be recommended.
  • Unlike degree programs, short courses typically do not require standardized test scores (e.g., GRE, GMAT) for admission.
  • Careers

    Start Your Career Now

    Financial Analyst:

    Financial analysts use financial modeling techniques to evaluate the performance of investments, assess financial statements, and make recommendations to businesses or clients regarding investment decisions.

    Investment Banking Analyst:

    In investment banking, financial modeling skills are essential for valuing companies, preparing financial projections, and structuring deals such as mergers and acquisitions (M&A), initial public offerings (IPOs), and corporate finance transactions.

    Financial Planning and Analysis (FP&A) Analyst:

    FP&A analysts create financial models to forecast future financial performance, analyze variances against budgets, and provide insights to support operational decision-making and strategic planning within organizations.

    Consultant:

    Management consultants and financial consultants often use financial modeling to analyze business processes, evaluate market opportunities, and advise clients on strategic decisions related to financial performance and profitability.

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    Tuition fees

    Financial Modeling (Duration 3 Weeks)

    3 weeks course on Financial Modeling

    350 $

    200 $ / Total Cost

    All our study programmes include the following benefits

    • Teaching and study material
    • Marking of your end-of-module exams
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    F.A.Q

    Frequently Asked Questions

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