|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/essential-guide-to-python-pandas/
课程评论：没有评论
课程名称：Python Pandas基础指南 课程概述：欢迎参加我们的Pandas速成课程！该课程旨在为您提供使用Pandas这一流行的数据处理库的实用指南。我们结合了真实案例和可重用的代码片段，以帮助您快速将所学应用到自己的数据分析项目中。在本课程中，您将学习： - 描述Pandas数据结构的组成，包括DataFrames、Series和索引。 - 实现多种方法将数据导入和导出Pandas DataFrames，这些方法包括Python原生数据结构、表格数据文件、API查询和JSON格式、网页抓取等。 - 描述Pandas DataFrame中的各种信息，帮助您识别数据问题，例如缺失值和错误的数据类型。 - 理解Pandas数据类型以及每种类型的正确使用场景。 - 执行数据处理和清理，包括修正数据类型、处理缺失值、删除重复记录等。 - 合并和连接多个数据集到Pandas DataFrames中。 - 在任何DataFrame中进行数据汇总和聚合。 - 创建不同类型的数据可视化。 - 更新Pandas样式设置。 - 进行数据分析项目，利用Pandas库收集和研究不同国家的COVID-19感染情况及随之而来的封锁措施。 除了课程材料外，您还将免费获得一个Jupyter Notebook，其中包含本课程中涵盖的所有代码示例，以及一本免费的PDF格式电子书。完成本课程后，您将对如何使用Pandas执行数据处理任务和分析数据有扎实的理解。
Welcome to our Pandas crash course! This course is designed to provide you with a practical guide to using Pandas, the popular data manipulation library in Python. We've included real-life examples and reusable code snippets to help you quickly apply what you learn to your own data analysis projects.Throughout this course, you will learn how to:Describe the Anatomy of Pandas Data Structures. This includes Pandas DataFrames, Series, and Indices.Implement several methods to get data into and from Pandas DataFrames. These methods include Python Native Data Structures, Tabular data files, API queries and JSON format, web scraping, and more.Describe any information within a Pandas DataFrame. This will help you to identify data problems such as having missing values or using incorrect data types.Understand Pandas Data Types and the correct use case for each type.Perform Data manipulation and cleaning. This part includes fixing data types, handling missing values, removing duplicate records, and many more.Merge & Join multiple datasets into Pandas DataFramesPerform Data Summarization & Aggregation within any DataFrameCreate different types of Data VisualizationUpdate Pandas Styling SettingsConduct a Data Analysis Project using Pandas library to collect and investigate COVID-19 infection, and the consequent lockdown in different countries.In addition to the course materials, you'll also have free access to a Jupyter Notebook with all of the code examples covered in this course, as well as a free e-book in PDF format. By the end of this course, you'll have a solid understanding of how to use Pandas to perform data manipulation tasks and analyze data.
