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¡Utilice Python y Pandas para analizar acciones!

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Edades 14-18

Curso grupal en vivo

Aprenda a analizar datos del mercado de valores con Python y la potente biblioteca Pandas para crear estrategias comerciales y generar información mediante análisis y visualización de datos prácticos. Los estudiantes trabajarán con datos de mercado reales de Bloomberg.

Jordan Lowe

Puntuación media:

5.0

Número de reseñas:

(29 opiniones)

Videoconferencias en vivo

1 x por semana, 8 semanas

2-6 alumnos por clase

30 min

Acerca de Descripción general del aprendizaje Maestro Reseñas

Qué está incluido

8 reuniones en vivo

4 horas presenciales

Proyectos

2-4 horas por semana. incluido

Evaluación

incluido

Experiencia de clase

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.

Metas de aprendizaje

Master fundamental Python data analysis skills using Pandas to load, clean, and manipulate financial datasets

Create visualizations and calculate key stock metrics (returns, moving averages, volatility) to identify market patterns

Programa de estudios

8 Lecciones

más de 8 semanas

Lección 1:

Python

30 minutos de lección en vivo en línea

Lección 2:

Pandas

30 minutos de lección en vivo en línea

Lección 3:

Exploratory Data Analysis

30 minutos de lección en vivo en línea

Lección 4:

Web Mining

30 minutos de lección en vivo en línea

Otros detalles

Recursos externos

Además del aula de Outschool, esta clase utiliza:

Fuentes

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

Conoce al profesor

Jordan Lowe

Se unió el February, 2025

5.0

29reseñas

Perfil

Experiencia y certificaciones del docente

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.