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Beautiful Soup & Requests for Data Science 2025 - AD-TEAM - 04-16-2025
![[Image: 7ea4be47e7ad6e3f8e9f7bd47cfb5c5c.jpg]](https://i125.fastpic.org/big/2025/0416/5c/7ea4be47e7ad6e3f8e9f7bd47cfb5c5c.jpg)
Beautiful Soup & Requests for Data Science 2025
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 45m | 2.89 GB
Instructor: Dr. Alexander Schlee
Master Web Scraping with Beautiful Soup & Requests and Python: From Beginner to Advanced + Quizzes
What you'll learn
- How to use Beautiful Soup and Requests to extract data from websites
- Extract, transform, and save data into CSV, JSON, and Excel
- Apply scraping in a Data Science context (e.g. for analysis or automation)
- Handle pagination, dynamic content, and clean extracted data
- Build 3 complete hands-on projects
Requirements
- Basic knowledge of Python (variables, loops)
- A computer with Python installed
- Internet connection and curiosity to work with real-world data
Description
Unlock the power of web scraping for your data science journey!
In this hands-on course, you'll learn how to collect, clean, and organize data from websites using Python's most popular libraries - Beautiful Soup and Requests.
Web scraping is a vital skill in today's data-driven world. Whether you're trying to collect real estate listings, product data, financial information, or research content - this course will show you how to automate the process from start to finish.
You'll begin with the basics: how the web works, how HTML and the DOM are structured, and how to target specific content on a page. Step by step, you'll move on to real-world scraping techniques, navigating through nested elements, handling pagination, and exporting your data into formats ready for analysis.
To reinforce your skills, we've included 3 complete projects where you'll build practical scrapers for real estate listings, book catalogs, and restaurant directories. You'll also learn how to save your data into CSV, JSON, and Excel - perfect for further analysis with pandas or Excel.
By the end of this course, you'll be confident in your ability to:
- Read and parse HTML using Beautiful Soup
- Send and manage requests to websites
- Work with real websites and extract meaningful data
- Clean, format, and export data for analysis
- Use scraping as a data source in your own projects
Whether you're preparing for a data science job, building a personal project, or just curious about how websites work behind the scenes - this course is for you.
Who this course is for:
- Beginners who want to get started with web scraping using Python
- Data analysts or aspiring data scientists looking to collect real-world data
- Developers or automation enthusiasts wanting to extract data from websites
- Students or researchers working on data projects involving websites
- Anyone who wants to master Beautiful Soup and Requests in practice
More Info
![[Image: ason5IuZ_o.jpg]](https://images2.imgbox.com/33/f6/ason5IuZ_o.jpg)