This project is part of the IBM Data Analyst course. It is designed to help us apply and expand the foundational Python skills we learned in Python for Data Science, AI & Development. The focus is on data extraction and web scraping, using the yfinance and BeautifulSoup packages. Through the project, we can analyze the historical stock price and revenue data, identify patterns and trends, and create a dashboard. In doing so, we get to put our knowledge to use and move closer to real-world project experience!
- Extract stock data using two methods:
- Using the
yfinancelibrary - Web scraping with the
BeautifulSouplibrary
- Using the
- Create and display a visually appealing graph
| Tesla | GameStop |
|---|---|
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Did you know that Python programmers and swans have something in common? Just like a swan gliding effortlessly on the water while furiously paddling underneath, a Python programmer might look calm and collected on the outside—but behind the scenes, they’re frantically debugging, searching Stack Overflow, and praying their code doesn’t break after one more import statement.
So, next time you see a swan, remember: that serene look? Pure deception!


