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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke
课程评论：没有评论
课程名称：数据工程的Python和Pandas 概述：在“数据工程Python、Bash和SQL基础”专业化的第一门课程中，您将学习如何设置一个版本控制的Python工作环境，并利用第三方库。您将学习使用Python及强大的Pandas库进行数据分析和处理。此外，您还将初步接触到Vim和Visual Studio Code这两种流行的编程工具。本课程对初学者和中级学生非常有价值，可以帮助他们作为数据工程师开始变换和处理数据。 课程大纲： 模块一：Python入门 描述：在本模块中，您将学习如何设置一个隔离的Python环境并安装第三方库，包括设置包含Pandas和Jupyter的虚拟环境。 模块二：Python基础 描述：在本模块中，您将学习如何创建和使用Python序列、字典、集合、列表推导和生成器。此外，您还将通过在Jupyter notebook中处理客户数据来应用这些知识。 模块三：Python中的数据：Pandas及其替代方案 描述：在本模块中，您将学习如何将数据加载到Pandas DataFrame中，并编写语句选择DataFrame中的列和行。此外，您还将应用比较和布尔运算符作为选择数据的一种方法。 模块四：Python开发环境 描述：在本周，您将学习一些流行开发环境的基础知识，并通过在Vim和Visual Studio Code中编写代码来应用这些知识。此外，您还将学习如何将代码提交到Git仓库中。
Name:Getting Started with Python
Description:In this module, you will learn how to set up an isolated Python environment with third party libraries and apply it by setting up a virtual environment including Pandas and Jupyter.
Name:Essential Python
Description:In this module, you will learn how to create and use Python Sequences, Dictionaries, Sets, List Comprehensions, and Generators. Additionally, you will learn how to apply these by manipulating client data in a Jupyter notebook.
Name:Data in Python: Pandas and Alternatives
Description:In this module, you will learn how to load data into a Pandas DataFrame and write statements to select columns and rows from a DataFrame. Additionally, you will apply comparison and boolean operators as a method of selecting data.
Name:Python Development Environments
Description:This week, you will learn the basics of some popular development environments and apply it by writing code in Vim and Visual Studio Code. Additionally, you will learn how to check your code into a Git repository.
In this first course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn how to set up a version-controlled Python working environment which can utilize third party libraries. You will learn to use Python and the powerful Pandas library for data analysis and manipulation. Additionally, you will also be introduced to Vim and Visual Studio Code, two popular tools for writing software. This course is valuable for beginning and intermediate students in order to begin transforming and manipulating data as a data engineer.
