Enroll Course: https://www.udemy.com/course/web-scraping-and-data-analysis-with-python/
If you’re looking to enhance your Python skills with a focus on web scraping and data analysis, especially within the financial sector, the Coursera course ‘Web Scraping and Data Analysis with Python – A Practical Introduction Applied to ESG Rating and Stock Market Data’ is an excellent choice. This course offers a hands-on approach, guiding learners through the entire process from extracting data to making data-driven investment decisions. The course begins with a brief overview of HTML and then dives into web scraping using BeautifulSoup, a powerful Python library. Students will learn how to extract ESG scores and stock prices from Yahoo Finance, transforming raw web data into meaningful insights.
The analysis segment introduces portfolio optimization techniques rooted in the Markowitz model, demonstrating how ESG scores can influence risk and return profiles. By integrating web-scraped data into financial models, participants gain valuable skills in assessing sustainability factors’ impact on investment strategies.
What makes this course stand out is its end-to-end practical focus, allowing learners to build their own projects and apply techniques directly. Whether you’re a finance professional, data analyst, or programming enthusiast, this course equips you with the tools to turn web data into actionable insights, empowering better decision-making and sustainable investing.
I highly recommend this course for anyone eager to develop a robust skill set in web scraping, data analysis, and financial modeling with Python. It’s suitable for beginners with some Python knowledge and offers a clear, structured pathway to mastering these in-demand skills.
Enroll Course: https://www.udemy.com/course/web-scraping-and-data-analysis-with-python/