Beautiful Soup & Requests for Data Science 2025

[kingers]

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

AusFile

https://ausfile.com/n9sjlly2ffga/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part1.rar
https://ausfile.com/xn8i1hvce1px/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part2.rar
https://ausfile.com/3r9bie9huu42/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part3.rar
https://ausfile.com/r3y1v7wmoi6f/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part4.rar

RapidGator

https://rapidgator.net/file/18b3f891775ce166a36799fd5c0608b1/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part1.rar
https://rapidgator.net/file/aac66547cc4cb260a3e36e2185132aeb/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part2.rar
https://rapidgator.net/file/e682df489ecc9621ef69a72cb0117fe0/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part3.rar
https://rapidgator.net/file/2c36717ad59d035ed3e837e0743c603d/yxusj.Beautiful.Soup..Requests.for.Data.Science.2025.part4.rar