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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/jhu-advanced-data-visualization-r
课程评论：没有评论
课程总结：高级数据可视化与R 本课程名为《高级数据可视化与R》，是Coursera上“数据可视化与仪表板制作”专业化的一部分。这门课程的目标是帮助学习者掌握数据可视化的关键技能，这对于日常使用定量数据的工作者来说至关重要。R语言，尤其是结合tidyverse软件包，已成为制作图形、表格和可重复报告的强大平台。 课程面向已经具备R语言基本使用能力的学习者，重点扩展数据可视化的选项。课程主要分为三个模块： 第一部分：高级图形与ggplot2。在这一模块中，学习者将使用ggplot2及其他R包制作多种类型的图形。课程会通过视频讲解、阅读材料和小测验来帮助学习者加深理解。 第二部分：空间数据。本模块介绍如何在R中制作空间图形（地图），也同样通过视频、阅读和小测验的方式进行学习，确保学习者掌握相关内容。 第三部分：Plotly与gganimate。在最后一个模块中，学习者将学习如何制作动态和交互式图形。整体学习过程依然围绕视频、阅读材料和测验，帮助学习者不断巩固所学知识。 课程适合计算机基础良好但对编程经验较少的学生，完成课程后，学习者将能够在R中导入数据、利用tidyverse工具处理数据，并使用R Markdown制作简单报告。
Part: 1
Title:Advanced Figures with ggplot2
Description:In this module, we will work through making a number of different figures using ggplot2 and a few additional R packages. 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.
Part: 2
Title:Spatial Data
Description:In this module, we go through an introduction for making spatial figures (maps) in R. 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.
Part: 3
Title:Plotly and gganimate
Description:In this module, we will work on animating figures and making them interactive. 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.
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 third in the Specialization "Data Visualization and Dashboarding in R." Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.
