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What You Get – And What the BIWS Core Financial Modeling Course Will Do for You…
When you master real-world techniques and case studies, you have a significantly better chance of landing prime jobs and internships with the top investment banks, private equity firms, and hedge funds.
The Core Financial Modeling course helps you gain all that real-world knowledge via video-based training created by investment bankers.
You’ll get a total of 158 videos – everything you need to beat the competition in interviews and get a head start before you start working. You’ll also get detailed written guides and transcripts to make it easier to scan and review the topics (and each video comes with full captions/subtitles).
MUCH MORE THAN THEORY
We base everything in the Core Financial Modeling course on what investment bankers and other finance professionals actually do in real life:
- To gain the proper background, you’ll start by learning key accounting and finance concepts with examples based on real companies, such as Target and Best Buy; you’ll learn how the financial statements link together and how you can analyze them with key metrics and ratios.
- Then, you’ll move into the “global case studies,” which include companies such as Monster Beverage (U.S.), Stadler Rail (Switzerland), Coles (Australia), Vivendi (France), Steel Dynamics (U.S.), Builders FirstSource / BMC Stock Holdings (U.S.), NichiiGakkan (Japan), Great Canadian Gaming Corporation (Canada), and Netflix (U.S.).
- In each case study, you’ll analyze a company or deal, build a model, and then make an investment recommendation or recommend the proper price and deal structure. This is the type of work you do all day in investment banking, private equity, and hedge funds.
Through these case studies, you’ll:
- Build 3-statement projection models and learn how to answer accounting questions in interviews.
- Understand Equity Value and Enterprise Value at a deep level – way beyond whatever the paid monkey army on Investopedia or ChatGPT can regurgitate!
- Value a company – from finding public comps and precedent transaction to building a DCF model to using the valuation output in a stock pitch, pitch book, and equity research report.
Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>

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