Web scraping and data analysis with Python

Unlock the power of data-driven finance with Web Scraping and Data Analysis using Python! This practical course provides a comprehensive introduction to extracting valuable information from the web and applying data analysis techniques to financial markets.

Learn how to leverage Python and powerful libraries like BeautifulSoup to perform web scraping on financial data, specifically using Yahoo Finance as a test-bed. We'll delve into the fundamentals of HTML to effectively target and extract specific data points.

Key topics covered include:

• Web Scraping Fundamentals: Master the art of extracting data from websites using Python and BeautifulSoup.
• ESG Data Extraction: Learn to scrape ESG (Environmental, Social, and Governance) scores alongside stock prices. Understand how to gather crucial sustainability data.
• Data Analysis with Python: Explore essential data analysis techniques to uncover insights from your scraped data.
• Portfolio Optimization: Apply the Markowitz model for classic portfolio optimization strategies.
• ESG-Enhanced Portfolio Optimization: Enhance your portfolio optimization by incorporating ESG scores to assess the relationship between risk, return, and sustainability.
• Data-Driven Financial Decisions: Gain the skills to make informed investment decisions based on comprehensive data analysis.

By the end of this course, you'll be equipped to:

• Build your own web scraping projects in Python.
• Extract financial data and ESG data from the web.
• Perform data analysis and portfolio optimization.
• Gain a deeper understanding of the impact of sustainability factors on investment performance.
• Transform raw data into actionable financial insights.

This course is perfect for anyone looking to apply data science techniques to the stock market, ESG investing, or other financial applications. Develop valuable skills in Python programming, web scraping, and data analysis to gain a competitive edge in the financial industry.