GET RICH SLOW - Step by step value investing with Python
A complete guide to classic Buffet style value investing, supercharged with the power of the python programming language
3.61 (79 reviews)

9 957
students
7.5 hours
content
May 2019
last update
$19.99
regular price
Why take this course?
🌟 [Course Title] "Get Rich Slow: Step by Step Value Investing with Python"
🚀 [Course Headline] A complete guide to classic Buffet-style value investing, supercharged with the power of Python programming!
📈 [Course Description]
🎓 [Learning Path]
- Introduction to Value Investing: Understand the principles of value investing as popularized by Warren Buffett, and learn why it's a sustainable investment strategy.
- Data Collection with Python: Master the art of collecting stock data using Python scripts that you can update as needed.
- Financial Analysis Techniques: Learn how to analyze financial statements to assess a company's value and potential for growth or acquisition.
- Valuation Models: Dive into various valuation models, with a focus on the Discounted Cash Flow (DCF) method in Excel.
- Investment Strategy Formulation: Know how to identify undervalued stocks using your Python and financial analysis skills.
- Risk Management: Learn how to manage risk and make informed decisions based on your investment analysis.
📚 [Why Enroll?]
- Real-World Strategies: This course is grounded in real-world value investing strategies, not just theory.
- Coding for Finance: Combine the power of Python with financial data to make smarter investment decisions.
- Excel Mastery: Use Excel as a powerful tool for investment analysis and valuation.
- Community Support: Join a community of like-minded investors and programmers who share your passion for value investing and Python.
🚀 [Take the First Step] Embark on your journey to becoming a savvy value investor with Python. Enroll in "Get Rich Slow" today and transform the way you invest with the combination of tried-and-true investment principles and cutting-edge coding techniques! 🤓💰
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2008984
udemy ID
05/11/2018
course created date
24/06/2019
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