Use Python and Pandas to Analyze Stocks!
Learn how to analyze stock market data using Python and the powerful Pandas library to build trading strategies and generate insights through hands-on data analysis and visualization. Students will work with real market data from Bloomberg.
Jordan Lowe
Average rating:
5.0
Number of reviews:(29)
What's included
1 live meeting
30 mins in-class hoursProjects
includedProgress Report
1 after class completionClass Experience
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.
Learning Goals
Master fundamental Python data analysis skills using Pandas to load, clean, and manipulate financial datasetsCreate visualizations and calculate key stock metrics (returns, moving averages, volatility) to identify market patterns
Other Details
External Resources
In addition to the Outschool classroom, this class uses:
Sources
Welcome to Python & Pandas for Stock Analysis! I'm thrilled to start this journey into data science with you. Python's powerful ecosystem, especially Pandas, will open up exciting possibilities for analyzing financial markets.
Before our first class, please:
1. Create a Google account if you don't have one
2. Familiarize yourself with Google Colab: colab.research.google.com
3. Try opening and running a basic notebook
If you're curious to explore, check out Colab's welcome notebook. Don't worry if things seem complex - we'll cover everything step by step.
See you in class!
Prof. Low
Jordan Lowe
Joined February, 2025
5.0
29reviews
Teacher expertise and credentials
As a Professor of Computer Science and Computational Finance at Fordham University, I bring extensive academic and industry expertise to teaching programming and financial analysis. I hold five degrees from MIT spanning Computer Science, Finance, Economics, and Mathematics, providing deep theoretical foundations in these intersecting fields. My industry experience includes serving as Head of Quantitative Research at Credit Suisse Asset Management and founding Wave Hill Capital Management, where I developed algorithmic trading systems. I've taught undergraduate and graduate courses in Python programming, machine learning, and quantitative finance for 6+ years, refining my ability to make complex concepts accessible to students at different skill levels. While my primary teaching experience is with college students, I've also mentored high school students through summer coding programs and financial literacy workshops.Reviews
Live One-Time Class
$100
per classMeets once
30 min
Completed by 42 learners
Live video meetings
Ages: 14-18
1-10 learners per class
