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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/jhu-data-visualization-r
课程评论：没有评论
课程名称：使用ggplot2进行数据可视化 概述：数据可视化是当今工作中每个定期使用定量数据的人的关键技能。在众多数据可视化工具中，R语言尤其与tidyverse软件包的结合，使其成为一个强大且灵活的平台，用于创建图形、表格和可重复的报告。尽管R语言对初学者可能显得有些复杂，但本课程旨在为学习者提供必要的指导。该课程是约翰霍普金斯大学数据可视化专业中的第二门课程，旨在帮助已经具备一定R语言和tidyverse数据处理经验的学习者或完成过该专业先修课程的学生。 课程重点在于学习使用ggplot2制作各种可视化，并通过ggplot工具和矢量图形编辑软件对可视化效果进行润色。课程不深入探讨数据管理的后台工作。 课程大纲： 1. 课程模块：图形语法介绍 描述：在该模块中，学习者将开始使用ggplot2，观看每节课的引导视频，认真阅读提供的材料，并在学习过程中进行小测验以确保理解。 2. 课程模块：使用ggplot制作更多可视化 描述：本模块继续深入ggplot，探索额外的可视化技术。同样，学习者需观看引导视频和阅读材料，并进行小测验以跟进学习进度。 3. 课程模块：ggplot图形元素 描述：本模块涵盖如何完善使用ggplot2创建的图形，学习者需观看视频、阅读材料，并进行小测验，最后提交涵盖本课程所有内容的作业以进行同行评审。 通过这门课程，学习者将掌握使用ggplot2进行有效数据可视化的技能，提升工作中的数据呈现能力。
Name:Introduction to the Grammar of Graphics
Description:In this module, we will get started using ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Name:More Visualizations with ggplot
Description:In this module, we will continue working with ggplot, learning additional types of visualization techniques. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Name:ggplot Graphical Elements
Description:In this module, we will cover how to refine plots created in ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course.
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the second in a specialization in Data Visualization offered by Johns Hopkins. It is intended for learners who have either have some experience with R and data wrangling in the tidyverse or have taken the previous course in the specialization. The focus in this course learning to use ggplot2 to make a variety of visualizations and to polish those visualizations using tools within ggplot as well as vector graphics editing software. The course will not go into detail about how the data management works behind the scenes.
