Welcome to Data Science for Value Investing — a course designed to help you invest in the Warren Buffett's way, using data science.

Market volatility cannot be predicted, but it can be used to your advantage — as Warren Buffett put it: "Be fearful when others are greedy, and greedy when others are fearful." This contrarian mindset lies at the heart of his value investing principles. To put it into action, you need to separate market noise from a stock's true value, or intrinsic value. That's what data science does best. In this course, you'll learn empirically tested and ready to use techniques for value investing inspired by Warren Buffett's principles — including the full stock investment workflow from stock screening, financial analysis, valuation models, to deciding when to buy or sell. This course combines theory with hands-on practice through step-by-step demonstrations using real examples, such as Google, Microsoft, Amazon, Meta, Tesla, Intel, Palantir and more, so you learn to handle stocks at different stages of their lifecycle, with varying levels of risk and return. Every technique is grounded in empirical testing against real market data, and source data and templates are provided so you can reuse the analysis on the industries and companies you care about. So stop guessing. Let's start investing like Warren Buffett — with data science.