파이썬과 판다스를 활용해 주식을 분석해 보세요!!

In this class, students will learn to analyze stock market data using Python and the Pandas library through practical, hands-on coding sessions. We'll cover:

Key Topics:
- Python basics and Pandas fundamentals
- Loading and cleaning financial data
- Calculating key stock metrics (moving averages, returns, volatility)
- Building simple trading strategies
- Data visualization with matplotlib
- Basic statistical analysis

Class Structure:
Each session combines live coding demonstrations with guided practice. Students write and test their own code while receiving real-time feedback. I use interactive Jupyter notebooks that students can reference after class.

Teaching Approach:
- Live coding with step-by-step explanations
- Real-world examples using actual market data
- Individual attention during coding exercises
- Regular code reviews and troubleshooting
- Q&A throughout each session
- Optional homework assignments for additional practice

Students will spend about 60% of class time coding, 30% in interactive discussion, and 10% watching demonstrations. Class size is limited to ensure personalized attention.

Requirements:
- Basic computer skills
- No prior programming experience needed
- Computer with internet access
- Free Python installation (instructions provided)

By the end of the course, students will have built their own stock analysis tools and gained foundational skills in both programming and financial analysis.