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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/python-packages-data-science
课程评论：没有评论
课程名称：Python数据科学包 课程概述：许多人在学习编程语言时会遇到困难，感到沮丧并最终放弃。本专业课程旨在帮助那些几乎没有编程经验的学习者，利用Python作为数据处理的工具。 在掌握Python基础和函数后，课程将重点介绍专门用于数据科学的Python包，如Pandas、Numpy、Matplotlib和Seaborn。 课程大纲： 1. **模块名称：你好，包！** - 描述：在掌握Python基础后，你将学习Python包，体验它们的便利和强大。这个模块让你用这些包做一些有趣的事情。准备好了吗？让我们出发吧！ 2. **模块名称：数据操作：Numpy和Pandas** - 描述：在数据科学中，我们需要玩转数据。Python有许多用于数据创建、整合和操作的有用包。在这个模块中，你将学习到数据科学中最常用的两个包：NumPy和Pandas。准备好了吗？让我们开始吧！ 3. **模块名称：数据可视化：Matplotlib** - 描述：一名优秀的数据科学家不仅擅长数据处理和分析，还擅长数据可视化和沟通。在本模块中，你将学习Matplotlib，这是一个广泛使用的Python包，可以让你的数据以更有趣的方式呈现。准备好了吗？让我们走吧！ 4. **模块名称：数据可视化：Seaborn** - 描述：Matplotlib可以用于数据可视化，但这并不够。Seaborn是在Matplotlib基础上构建的，它为项目提供了更多的功能和便利。准备好了吗？让我们开始吧！
Name:Hello, packages!
Description:Now you have learned the basics of Python to be able to play the magic! In this module, you are going to learn Python packages and experience their convenience and power. You are going to use the packages for something fun. Are you ready? Let's go!
Name:Data Manipulation: Numpy and Pandas
Description:In Data Science, we play with data. Python has many useful packages for data creation, integration, and manipulation. In this module, you are going to learn NumPy and Pandas, the most widely used two packages for data science. Are you ready? Let's go!
Name:Data Visualization: Matplotlib
Description:An outstanding data scientist is good at not only data processing and data analyzing but also data visualization and communication. In this module, you are going to learn Matplotlib, one of the most widely used Python package to transform your data in a much more interesting taste. Are you ready? Let's go!
Name:Data Visualization: Seaborn
Description:Data visualization can be done by matplotlib, and it is not enough. Seaborn is built upon matplotlib, and it provides even more power and convenience to the project. Are you ready? Let's go!
How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. Now that you have mastered the fundamentals of Python and Python functions, you will turn your attention to Python packages specifically used for Data Science, such as Pandas, Numpy, Matplotlib, and Seaborn. Are you ready?
