Ultimate Web Scraping for Data Science
Published 2/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 22h 43m | Size: 15.4 GB
A complete guide for basic to advanced web scraping
What you'll learn
Learn the fundamentals, types, ethical considerations, advantages, and alternatives to web scraping.
Understand how to create, explore, and utilize soup objects with Beautiful Soup, Requests, and pandas, culminating in a mini-project.
Acquire skills in using Selenium for automating interactions with web pages, including locating elements, handling dropdowns, infinite scrolling, and dynamic co
Master explicit and implicit waits, working with iframes and alerts, and optimizing scraping workflows for efficiency and reliability.
Build two end-to-end projects, including scraping Yahoo Finance for stock data and extracting real estate listings, applying all learned skills in practical
Requirements
A computer with an internet connection and Python installed.
This course is beginner-friendly, and all concepts will be explained from the ground up.
Familiarity with Python, including variables, loops, and functions, is recommended but not mandatory.
Description
In an era where data drives decisions, the ability to extract valuable information from websites is an indispensable skill. "Webscraping for Data Science" is your comprehensive guide to mastering webscraping, empowering you to turn raw web data into actionable insights.This course is designed to take you from the basics to advanced concepts, ensuring you can confidently scrape both static and dynamic websites. You'll start with the fundamentals, exploring the types of webscraping, ethical considerations, and best practices. As you progress, you'll delve into practical tools like Beautiful Soup and Selenium, learning to navigate web pages, handle complex elements like dropdowns and infinite scrolling, and interact with dynamic content.What sets this course apart are the hands-on projects. You'll build two real-world applications: scraping stock market data from Yahoo Finance and gathering real estate listings. These projects will reinforce your skills and provide a portfolio-worthy showcase of your abilities.This course is ideal for aspiring data scientists, analysts, marketers, or anyone interested in working with web data. Basic Python knowledge is helpful but not mandatory, as we guide you step-by-step through each concept.By the end of this course, you'll have the expertise to extract and manipulate online data for data science, research, or business purposes.Join us today and unlock the power of webscraping to advance your career and stand out in your league!
Who this course is for
Aspiring Data Scientists and Analysts: Individuals looking to enhance their data collection skills and integrate webscraping into their data science workflows.
Beginner Programmers: Learners with basic Python knowledge who want to explore webscraping as a new skill.
Professionals in Marketing and Business: Those seeking to gather web data for market research, competitor analysis, or business intelligence.
Students and Enthusiasts: Anyone curious about extracting and working with online data, regardless of their background.
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