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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/python-visualization
课程评论：没有评论
课程名称：Python数据可视化 课程概述：本课程是该系列的最后一门课，建立在之前的《Python编程基础》、《Python数据表示》和《Python数据分析》课程的基础上。我们将学习如何在Python中安装外部包，从网络获取数据，然后对数据进行清洗、处理、分析和可视化。本课程将结合全系列所学的技能，帮助您编写有趣、实用且有用的程序。在课程结束时，您将能够熟练安装Python包，分析现有数据，并生成该数据的可视化图表。这个课程将为您的编程教育画上圆满的句号，使您能够找到、安装并使用他人编写的Python包，利用广泛可用的工具和包提高您的工作效率，编写有用的程序。 课程大纲： - 第1周：讨论使用和编写文档的重要性。Python文档是学习尚未掌握的语言特性的宝贵资源。 - 第2周：学习Python中的包和模块，包括如何安装包和创建自己的模块。您还将学习使用Pygal绘图库。 - 第3周：了解Python集合。集合用于保存不重复的无序数据集合，并探讨其效率。 - 第4周：特殊项目将使您展示在此之前所学概念的掌握程度，并能理解和比较合并两个数据集的不同方法。
Name:Week 1
Description:This module will discuss the importance of using and writing documentation. The Python documentation is a valuable resource for learning about language features you haven't seen yet.
Name:Week 2
Description:This module will teach you about packages and modules in Python, including how to install packages and how to create your own modules. You will also learn to use the Pygal plotting library.
Name:Week 3
Description:This module will teach you about Python sets. Sets are used to hold unordered collections of data without duplicates. We will also discuss efficiency.
Name:Week 4
Description:The final project of the specialization will enable you to demonstrate mastery of the concepts you have learned up to this point. You will also be able to understand and compare different approaches to reconciling two data sets.
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
