per class
Python Stock Analysts | Stock Analysis With Pandas & Yfinance
New class
Ages 14-17
Live One-Time Class
Live video meetings
Meets once
3-5 learners per class
60 min
What's included
1 live meeting
1 in-class hoursProjects
We'll develop it in classProgress Report
1 after class completionClass Experience
What You'll Learn: - Python basics along with Pandas and Yfinance fundamentals - How to load, clean, and explore financial data 📈 Calculate key metrics such as moving averages, returns, and volatility 💡 Build simple trading strategies 📊 Create clear data visualizations using matplotlib 📉 Perform basic statistical analysis How the Class Works: - Live Coding: Follow along with easy, step-by-step examples - Guided Practice: Write and test your own code with instant feedback - Interactive Discussions: Participate in Q&A sessions, code reviews, and group chats - Visual Aids: Enjoy simple slides to reinforce learning - Balanced Sessions: Spend time coding, discussing, and watching demos - Small Groups: Benefit from personalized support in a class size of up to 5 students This class is designed to be engaging and easy to understand, providing a fun and practical introduction to stock market analysis for young learners.
Learning Goals
Leverage Yfinance to retrieve historical stock market data and compute key metrics (returns, moving averages, volatility) to uncover market trends.
Develop data visualization skills with matplotlib to create insightful charts that support the development of simple trading strategies.
Other Details
Language of Instruction
English
External Resources
In addition to the Outschool classroom, this class uses:
Offered by
Teacher expertise and credentials
1 teacher has a teaching certificate
Michigan Teaching Certificate in Music/Theater/Arts
1 teacher has a Bachelor's degree
Bachelor's Degree in Education from Eastern Michigan University
I have over three years of experience teaching online classes to kids, making complex topics accessible and engaging. For the stock analysis component, I actively trade several times a week.Please feel free to reach out with any questions.
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