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Data Science 4 Buffett Value Investing
Highest Rated
319 students
Data Science 4 Buffett Value Investing
Find out how data science may help you repeat the success of some well-known value investors in stocks
Created byYao Zhao
Last updated 12/2025
English
What you'll learn
- The value investing principles of Warren Buffett and the three explosive stocks
- Simple and practical investment techniques based on data analysis and visualization
- The onion theory and how to use the price regression model to classify stocks by their random noises
- How to estimate the intrinsic value of a stock by the fundamental analysis, comparative valuation and range analysis
- How to identify the best country-industry combinations to invest
- How to select dividend stocks to ensure both high yield and value growth
- Real life case studies on diverse industries and companies so you know how to handle different situations
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Course content
11 sections • 25 lectures • 1h 41m total length
Requirements
- No prior experience, no coding or technical skills are required.
- You need a computer or tablet with Internet access.
- A curious mind sensitive to data.
Description
Learn how to apply data science to value investing.
Investing is gambling against the market in some sense. To take money from the market, you need to have the counter market sentiment, famously summarized by Warren Buffett’s maxim: "Be fearful when others are greedy and greedy only when others are fearful". Leveraging data science, you’ll learn some practical and operational techniques of Warren Buffett value investing, including
The value investing principles and the three explosive stocks.
How the stock market behaves from a data science perspective.
The onion theory and how to use the price regression model to classify stocks by their random noises.
Estimating the intrinsic value of a stock by fundamental analysis, comparative valuation and range analysis.
How to select countries and industries to invest?
How to select dividend stocks?
Teaching methods
You will learn these techniques through case studies on diverse industries and companies so you know how to handle different situations. Source data and templates are provided, so you can easily replicate the analysis to industries and companies of your interest.
About the instructor
The course is developed and taught by an award-winning instructor, Dr. Yao Zhao, who is the Rutgers Business School Dean’s Research Professor, and has won numerous awards including National Science Foundation Career Award, Dean’s Meritorious Teaching Award, and 1st prize INFORMS Case and Teaching Materials Competition. He has taught hundreds of thousands of students world-wide, online and offline; undergrad, graduate, and executive.
Who is this course for?
The course is designed for the following audiences:
Personal investors who prefer infrequent trading and long-term investment.
Value investors who try to profit from long-term financial performance rather than short-term price fluctuations.
Course requirement
No prior experience, no coding or technical skills are required:
If you are a beginner, you can build up your learnings step-by-step starting from the basics.
If you are an expert or interested in specific industries or stocks, take a look at the course outline and jump into modules that suit your needs.
Who this course is for:
- Personal investors who prefer infrequent trading and long-term investment.
- Value investors who try to profit from the long-term financial performance rather than short-term price fluctuations.