In this project, we will extract financial data (historical share price and quarterly revenue reportings) from various sources using Python libraries and webscraping on popular stocks, specifically Tesla and GameStop. After collecting this data, we will visualize it in a dashboard to identify patterns or trends.
This project was completed as part of the requirements for the IBM Data Science Professional Certificate.
Key Skills Learned:
- Data extraction using APIs and webscraping.
- Data cleaning and analysis.
- Data visualization and building dashboards.
Tools: Python, Conda, Jupyter Lab, IBM Cloud Pak for Data, IBM Watson Studio, and GitHub.
Libraries: Requests, NumPy, Pandas, yfinance, BeautifulSoup, and Plotly.