Data Science 4 Buffett Value Investing

Become an intelligent investor armed with a practical data-science version of Warren Buffett stock investing principles


What you'll learn
A practical and data-science version of Warren Buffett's value investing principles
Data science models and visualization skills for the fair price or intrinsic value of stocks
Over and under-value analysis by fundamental analysis, competitive intelligence and comparative valuation
Industry and country analysis to determine the industry & country combinations to invest or avoid
Value investing principles of Warren Buffett and the three exploding stocks
Real life case studies on companies from diverse industries so you know how to handle different situations

Requirements
No prior experience, 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 with this course.
You'll learn the practical version of Warren Buffett investing principles by leveraging data science, including
Value investing principles of Warren Buffett and the three exploding stocks.
Well tested data science models and visualization skills to determine the fair price or intrinsic value of stocks.
Practical and actionable guidelines for over and under-value analysis using fundamental analysis, competitive intelligence and comparative valuation.
Industry and country analysis to determine the industry & country combinations to invest or avoid.
Real life case studies on companies from diverse industries, such as, retailing, semiconductors, pharmaceuticals and biotechnology, automobile, and capital goods, so you know how to handle different situations.
And much more.
Why data science for value investing?
Value investing is a proven investment philosophy with many phenomenally successful examples, such as Warren Buffett, Ben Graham and Peter Lynch. Data science, like a crystal ball, can map the random price movements to predictable laws, and thus offer practical guidelines for investors to repeat the success.
Teaching methods
The course puts you at control of vast data and easy-to-use analysis tools, so you will learn by doing through,
Real life case studies and templates of diverse companies, industries and countries.
A powerful database with 30,000+ companies and 100 countries of financials and valuation data.
Visualization tools and data science models make the investment analysis easy and fun.
Sharing your work with peer investors, and learning investment insights from them.
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 and professional investors, stock analysts, mutual fund and wealth management professionals.
Investors who are interested in either individual stocks or industries (in either the United States or other countries).
Course requirement
No prior experience, 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 or professional investors, stock analysts, mutual fund and wealth management professionals
Investors who are interested in either individual stocks or industries (in either the United States or other countries).

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