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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-acquisition-and-manipulation-with-python/
课程评论：没有评论
课程名称：使用Python进行数据获取和处理 课程概述：Python作为一种多范式编程语言，已成为数据科学家进行数据分析、可视化和机器学习的首选语言。在本课程中，您将首先学习如何从网络上获取以“干净”格式存在的数据，例如.csv文件或数据库中的数据。接下来，您将学习如何转换这些数据，以便将其整理为最适合分析的格式。然后，课程会带您深入数据汇总和分组的内容，教您如何将相似数据分组，以便于分析。之后，您将学习使用Python进行网页抓取的不同方法。最后，课程将教您如何使用BeautifulSoup提取大量数据，同时也会涉及Selenium和Scrapy的使用。 讲师介绍：柯提斯·米勒（Curtis Miller）是犹他大学的副讲师，同时也是统计学硕士生。他目前正在从统计和计算机科学的视角进行数据分析方面的研究，并已在政策和经济问题上发表过研究成果。
Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. In this course, you'll start by learning how to acquire data from the web in its already "clean" format, such as in a.csv file, or a database. You'll then learn to transform this data so it's in its most useful format for analysis. After that, you'll dive into data aggregation and grouping, where you'll learn to group similar data for easier analysis purposes. From there, you'll be shown different methods of web scraping using Python. Finally, you'll learn to extract large amounts of data using BeautifulSoup, as well as work with Selenium and Scrapy. About the author Curtis Miller is Associate Instructor at the University of Utah, and an MSTAT student. He is currently involved in research on data analysis from statistical and computer science perspectives. Curtis has published research on policy and economic issues.
