Tags
Language
Tags
April 2025
Su Mo Tu We Th Fr Sa
30 31 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 1 2 3
Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
SpicyMags.xyz

Beautiful Soup & Requests for Data Science 2025

Posted By: IrGens
Beautiful Soup & Requests for Data Science 2025

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


Beautiful Soup & Requests for Data Science 2025