|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/web-scraping-and-data-analysis-with-python/
课程评论:没有评论
课程总结:网络抓取与数据分析(Python) 课程名称:通过Python进行网络抓取与数据分析 课程概述:您是否曾对网络抓取的工作原理和从中提取的数据所带来的附加价值感到好奇?如果您希望通过一个完整的Python项目深入了解数据分析,您选择的课程就是这个!在本课程“网络抓取与数据分析(Python应用于环境、社会和治理评级及股票市场数据)”中,我们将为您提供有关如何在Python中应用网络抓取和数据分析方法的全面介绍,以雅虎财经的金融数据为实验基础。 课程内容将简单介绍HTML,并深入讲解使用著名的Python库BeautifulSoup进行网络抓取的基本知识,以提取一系列环境、社会和治理(ESG)评分及其相关的股票价格。接下来,我们将进入数据分析部分,基于马科维茨模型进行投资组合优化。在此过程中,您将学习如何进行经典的投资组合优化,并在此基础上融入通过网络抓取获得的ESG评分。这将帮助您理解如何在金融领域做出基于数据的决策,并评估风险/收益特征与可持续性因素之间的影响。 课程结束时,您将掌握使用Python构建自己的网络抓取与数据分析项目的技能,能够从网上提取有价值的信息并将其转化为可行的洞见。
Have you ever wondered how web scraping works and what added value you can gain from the extracted data? Plus the opportunity to get more information by analyzing data in an end-to-end project in Python? Then this is the right course for you!In this course "Web Scraping and Data Analysis with Python - A Practical Introduction Applied to ESG Rating and Stock Market Data," I will provide you a comprehensive introduction on how to apply web scraping and data analysis approaches in Python using financial data from Yahoo Finance as a test-bed. After a brief insight into HTML, we will cover the essentials of web scraping using BeautifulSoup, a well-known library in Python, in order to extract a series of ESG (Environmental, Social, and Governance) scores along with their underlying stock prices. In turn, we will move to the data analysis part, where we will conduct portfolio optimizations based on the Markowitz model. There, you will get familiar with the approaches on how to perform a classic portfolio optimization and then enhance it by incorporating the ESG scores obtained from the web scraping part. This will help you gaining an understanding on how to make data-driven decisions in finance, and to assess the effect between the risk/return profile and sustainability factors.By the end of this course, you will obtain the skills to build your own web scraping and data analysis projects in Python, enabling you to extract valuable information from the web and turn it into actionable insights.