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所在平台: Udemy |
课程主页: https://www.udemy.com/course/beautiful-soup-requests-for-data-science-2025/
课程评论：没有评论
课程名称：2025年数据科学的Beautiful Soup与Requests 课程概述：解锁网络爬虫在数据科学旅程中的力量！在这门实践课程中，您将学习如何使用Python最流行的库Beautiful Soup和Requests从网站收集、清理和组织数据。网络爬虫是当今数据驱动世界中的一项重要技能。无论您是想收集房地产列表、产品数据、金融信息还是研究内容，这门课程将向您展示如何从头到尾自动化这一过程。 课程将从基础知识入手：介绍网络的工作原理、HTML和DOM的结构，以及如何在页面上定位特定内容。逐步推进，您将掌握真实世界的爬虫技术，包括处理嵌套元素、分页处理以及将数据导出为可供分析的格式。 为了巩固您的技能，我们还包含了三个完整的项目，您将为房地产列表、书籍目录和餐厅目录构建实用的爬虫。您还将学习如何将数据保存为CSV、JSON和Excel格式，便于使用pandas或Excel进行进一步分析。 到课程结束时，您将能够自信地： - 使用Beautiful Soup读取和解析HTML - 向网站发送和管理请求 - 使用真实网站提取有意义的数据 - 清理、格式化及导出数据以进行分析 - 在自己的项目中使用爬虫作为数据来源 无论您是为数据科学职位做准备、构建个人项目，还是只是对网站的后台运作感到好奇，这门课程都非常适合您。
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 SoupSend and manage requests to websitesWork with real websites and extract meaningful dataClean, format, and export data for analysisUse scraping as a data source in your own projectsWhether 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.
