IgZF+mzgltrHiRofRINEfbTEQ78n5z7WJkPj0r3lRFw=2025-08-02T12:29:29Zsummer 2025
This course teaches the following:
- Firm valuation - DCF and Comparable
- Option Pricing
- Excel - Lots of it
At the end of the course, you will have one comprehensive excel file that starts with financial statements downloaded from the internet and ends with a full valuation.
There are a lot of topics that are covered. These topics are what you would typically learn in an MBA program, as part of core finance. However, in this course, you will actually implement it.
I liked the course because it reinforced what I had learned in my MBA program.
The assignments are a cake walk because you are actually given the exact instructions that you need to follow and then there is another file that serves as your North Star, so when you compute the numbers, you know what the answer must look like.
There is a ton of Excel use in this course. You will learn a lot of formulae and some cool things like Data Tables and Solve.
The presentation material is really light, since 95%+ focus is on using excel to actually do the valuation.
I wish the course delved into the theory a bit more, so that students develop a strong intuition. For instance, Valuation is both an art and a science (Prof. Aswath Damodaran, NYU Stern). We learnt mostly the science part, but the more important part around assumptions and the rationale behind the assumptions is missing.
You would like this course if you want to actually see how the different finance formulae work together. You will not like this course, if you are looking for a typical analytics or computer science course.
I also feel that given that Python is used in Finance more commonly that the professor considers redoing the lectures in Python. I know that will be a complete re-write, but it will make the course more relevant.
Rating: 4 / 5Difficulty: 2 / 5Workload: 6 hours / week