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Python for Data Science
Web Scraping Crash Course
Go from fundamentals to job-ready Web Scraping skills
By Ritu Chauhan
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0.0
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Intermediate
English
0 learners
What you'll learn
- Understand the core concepts of Web Scraping and how they fit together
- Build hands-on projects using Web Scraping that you can add to your portfolio
- Apply Web Scraping to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Web Scraping mistakes
- Gain the confidence to use Web Scraping at work and in interviews
Skills you'll gain
Web Scraping
Practical Projects
Debugging
Best Practices
Problem Solving
Python for Data Science
About this course
This course is a hands-on, project-driven introduction to Web Scraping, part of our Data Science & AI track. Designed for learners in India and beyond, every concept is taught with practical examples and exercises you can add to your portfolio. Taught by Ritu Chauhan, it starts from the fundamentals and builds toward real-world, job-ready skills in Python for Data Science. By the end you'll have the confidence to apply Web Scraping at work, in interviews, and on Hyrespot-matched roles.
Curriculum
Getting Started
- Welcome and what you'll build video · 10:00 ▶ Free preview
- Web Scraping in 10 minutes video · 11:00 ▶ Free preview
- Your first Web Scraping walkthrough video · 12:00
- Hands-on exercise video · 13:00
Core Concepts
- Common patterns in practice video · 17:00
- Building the project — part 1 video · 06:00
- Debugging and troubleshooting video · 07:00
- Performance and optimisation video · 08:00
- Testing your work video · 09:00
Hands-On Practice
- Performance and optimisation video · 12:00
- Testing your work video · 13:00
- Welcome and what you'll build video · 14:00
Building Real Projects
- Welcome and what you'll build video · 07:00
- Web Scraping in 10 minutes video · 08:00
- Your first Web Scraping walkthrough video · 09:00
- Hands-on exercise video · 10:00
Going Deeper
- Common patterns in practice video · 14:00
- Building the project — part 1 video · 15:00
- Debugging and troubleshooting video · 16:00
- Performance and optimisation video · 17:00
- Testing your work video · 06:00