Unlocking Insights: LLM and Web Scraping for COV19 Data
Get ready for an exciting web scraping journey on COVID-19 in this guided project. We will explore data extraction, refining your regular expression (regex) skills to unearth concealed pandemic data online. Harness the power of large language models (LLM) to summarize your data. By the project's conclusion, you'll emerge as a proficient web scraper with an enthralling COVID-19 data adventure to narrate. So, equip yourself with your virtual explorer's hat and immerse yourself in the realm of web scraping and regex with passion and curiosity!
4.8 (14 Reviews)

Language
- English
Topic
- Artificial Intelligence
Industries
- Information Technology
Enrollment Count
- 153
Skills You Will Learn
- Artificial Intelligence, Data Science, Python, Machine Learning, Data Analysis
Offered By
- IBM
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- May 8, 2025

A Look at the Project Ahead
- Web - Scrapping
- Regular Expression
- Data Pre-processing
- large language models
What You'll Need

Language
- English
Topic
- Artificial Intelligence
Industries
- Information Technology
Enrollment Count
- 153
Skills You Will Learn
- Artificial Intelligence, Data Science, Python, Machine Learning, Data Analysis
Offered By
- IBM
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- May 8, 2025
Instructors
Jigisha Barbhaya
Data Scientist
I am a Data scientist at IBM and Lead instructor at Skills network. I love to learn and educate. I have completed my MSc(Computer Application) specialisation in Data science from Symbiosis University.
Read moreContributors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreRoodra Kanwar
Data Scientist at IBM
I am a data scientist by day, superhero by night. Psych! I wish I was that cool. Only the former part is true which is still pretty cool! I believe in constant learning and it is an essential part of being a productive data enthusiast. I am also pursuing my masters in computer science from Simon Fraser University specializing in Big Data. Moreover, knowledge is transfer learning (pun intended!) and what I have gained, I plan on reflecting it back to the data community.
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