US$100

weekly
or US$800 for 8 classes
班級

使用 Python 和 Pandas 分析股票!

新班級
年齡 14-18
現場團體課程
了解如何使用 Python 和強大的 Pandas 庫分析股票市場數據,以建立交易策略並透過實際數據分析和視覺化產生見解。學生將使用彭博社的真實市場數據。
Jordan Lowe
平均評分:
5.0
評論數量:
(29 評論)

即時視訊會議
每週1次,共 8 週
2-6 名學習者(每班)
30 分鐘

包含什麼

8 現場會議
4 上課時間
項目
每週 2-4 小時. 包括
評估
包括
我們無法翻譯此文,請刷新頁面並再試一次。

課堂經歷

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.

學習目標

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

教學大綱

8 課程
超過 8 週
課 1:
Python
30 分鐘線上直播課
課 2:
Pandas
30 分鐘線上直播課
課 3:
Exploratory Data Analysis
30 分鐘線上直播課
課 4:
Web Mining
30 分鐘線上直播課

其他詳情

外部資源
除了 Outschool 教室外,本課程也使用:
來源
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

認識老師

Jordan Lowe
已加入 February, 2025
5.0
29評論
教師檔案
教師專業知識和證書
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.

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