Learn how to analyze real estate investments in Excel and how to make investment recommendations based on your analysis.

In this course, you will have the opportunity to practice and become a true Excel modeling whiz with the four cases included in the course materials. The models you build will be completely automated and dynamic, and will allow you to test your assumptions and run sensitivity analyses on your main investment assumptions.

If you are preparing for an interview in real estate investment and asset management roles, this course will help you pass the Excel test, which is the first stage of the interview process. This is because it is based on modeling exercises that I have done as part of recruiting processes.

To get the most out of this course, you need previous knowledge of Excel and finance, including, among others, the use of formulas such as EDATE, SUMIF, INDEX, and MATCH, and finance concepts related to revenue, costs, profitability, and returns, such as the IRR, equity multiple, cash-on-cash returns, and gross and net initial yields.

It's also good to have some knowledge of debt financing, such as loan-to-value ratios, and financial solvency metrics such as debt yield, debt service coverage ratio, and interest coverage ratio.