
Explore sensitivity analysis to see how changes in independent variables affect dependent outcomes within Excel, using scenarios and data tables to forecast, assess risk, and inform decision making.
Explore business and financial forecasting using the Excel forecast function to predict future values from past revenue and expenses, and learn its syntax with x values and known (independent) values.
Learn to use the forecast.linear function to extrapolate the balance sheet from historic values, with absolute and relative references for fast, statistically driven forecasts.
Explore how to use the growth function in Excel to forecast exponential revenue growth, create charts, and add a trend line for the line of best fit.
Demonstrates solving a four-year, multi-investment cash flow problem with linear programming in Excel, allocating funds across investments B, C, D, E and CDs to maximize final-year cash while respecting limits.
Common size statements express income statement and balance sheet items as percentages of base values, enabling vertical and horizontal analysis for cross period comparisons of margins, debt, and assets.
Create a balance sheet summary across years by using lookup to pull inventory, plant and equipment, cash, other assets, and equity and liabilities, with careful formatting.
Learn to build a 3-statement forecast by projecting revenue with a 5% growth, applying COGS and OpEx as revenue percentages, and analyzing depreciation, interest, taxes, and scenarios.
This course is designed to equip accountants, finance professionals, and business analysts with the skills needed to use Microsoft Excel for financial modeling and forecasting. It provides a comprehensive understanding of how to analyze financial statements, forecast trends, and make data-driven business decisions using Excel’s powerful features.
Participants will learn how to calculate the cost of capital, assess investment opportunities, and evaluate business performance using financial modeling techniques. The course covers capital budgeting methods, project evaluation, and the application of key financial ratios. Understanding and applying these ratios to financial statements will enable participants to derive meaningful insights and make informed strategic decisions.
One of the key areas covered in this training is the use of Excel’s built-in financial functions to simplify complex calculations. Attendees will explore how to use functions for net present value (NPV), internal rate of return (IRR), loan amortization, and discounted cash flow (DCF) analysis. These techniques will help professionals in assessing project feasibility, investment returns, and financial health.
Additionally, the course will cover scenario analysis, sensitivity analysis, and stress testing, allowing participants to model different financial outcomes based on various assumptions. This is crucial for effective risk management and strategic planning. Participants will also gain hands-on experience in using Excel tools such as Scenario manager, Data Tables, and Goal Seek to enhance financial analysis and forecasting accuracy.
By the end of the training, attendees will have the confidence to build financial models that aid in budgeting, forecasting, and overall financial decision-making. They will be able to apply best practices in financial analysis, ensuring precise and reliable results.
The course is structured around Microsoft Excel 2016, ensuring that participants use a widely adopted version of Excel with relevant financial modeling applications. Whether working in corporate finance, investment analysis, or business planning, this course provides essential skills for making data-driven financial decisions.