|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/web-scraping-apis-for-data-science-2021/
课程评论：没有评论
课程名称：数据科学的网络爬虫API：2021年PostgreSQL与Excel 课程概述： 本课程旨在教授学生如何从网站的API中抓取数据（如有提供）。我们将从基础知识和初学者项目开始，随后涵盖两个不同的项目，最后进行高级项目。在每个项目中抓取的数据将存储在Excel文件中。在高级项目中，我们将创建两个包含各5000条结果的数据集，目标是将这两个数据框合并（总计10000条结果），保存至Excel中，并将数据输出至PostgreSQL数据库，并在自己的数据上执行SQL命令。本课程的前提是具备基本的Python编程知识，虽然不需成为专业人士，但对网络爬虫和数据挖掘充满好奇心是最重要的。学员需准备投入时间以获取课程所教授的知识。 完成课程后，学员将具备抓取数据和创建自己数据集的能力。课程资源将提供持续的文档参考支持。如果您有问题或者某个概念不清晰，可以随时在问答论坛提问，讲师或其他学生将会解答您的问题。借助社区的力量，您不会感到孤单地学习。 免责声明：我教授网络爬虫仅用于教育目的。首先，抓取网络的首要规则是：不伤害特定网站。其次，网络爬取的第二条规则是：不要伤害特定网站。
In this course the students will get to know how to scrape data from the API of a website (if available). We start with the fundamentals and the beginner level project. After that, two different projects will be covered, followed by the advanced project. After scraping data of wach project, the results will be stored inside an Excel file. Within the advanced level project we will create two dofferent datasets with 5000 results each. The goal is to merge both dataframes (total: 10000 results), save it in Excel and output the data in the PostgreSQL database and run SQL commands on our own data.The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q & A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.Disclaimer: I teach web scraping as a tutor for educational purposes. That's it. The first rule of scraping the web is: do not harm a certain website. The second rule of web crawling is: do NOT harm a certain website.
