Practical Web Scraping for Career Switchers
Data Science & AI › Python for Data Science

Practical Web Scraping for Career Switchers

A practical, project-based path to Web Scraping in Python for Data Science

By Gaurav Sinha ★ 0.0 (0 ratings) 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

Want to get genuinely good at Web Scraping? This practical course in our Data Science & AI track takes you from the essentials to applied, real-world skills. You'll learn by building — not just watching — with downloadable resources and exercises throughout. Gaurav Sinha guides you step by step through Python for Data Science, focusing on the skills employers actually look for. Finish ready to put Web Scraping on your resume and use it with confidence.

Curriculum

Getting Started

  • Welcome and what you'll build video · 07:00 ▶ Free preview
  • Web Scraping in 10 minutes video · 08:00 ▶ Free preview
  • Your first Web Scraping walkthrough video · 09:00
  • Hands-on exercise video · 10:00

Core Concepts

  • 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

Hands-On Practice

  • Performance and optimisation video · 09:00
  • Testing your work video · 10:00
  • Welcome and what you'll build video · 11:00

Building Real Projects

  • Welcome and what you'll build video · 16:00
  • Web Scraping in 10 minutes video · 17:00
  • Your first Web Scraping walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Going Deeper

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00