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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/codio-visualizing-data-and-communicating-results-in-r-with-rstudio
课程评论：没有评论
课程名称：使用R和RStudio进行数据可视化与结果沟通 概述：本课程旨在为有限编码经验的学习者提供基础的数据可视化和R Markdown知识。您可以在几分钟内编写并运行您的第一个R程序，而无需安装任何软件。课程模块涵盖了不同类型的可视化模型，如条形图、直方图和热图，以及R Markdown。建议完成该专项课程的前一门课程（使用RStudio和Tidyverse进行数据分析）或具有类似经验的学习者参加。 为了确保真正的实践与自我节奏学习体验，本课程没有视频内容。作业中包含简短的解释、图像以及可运行的代码示例，并提供建议的编辑，以进一步探索代码示例，帮助您通过实践加深理解。您将获得各种评估项目的即时反馈，逐步从快速理解检测（多项选择、填空和打乱代码块）转向小规模、易于处理的编码练习，这些练习只需几分钟而不是几小时。课程结束时的综合实验室将为您提供在真实世界背景中应用所学概念的机会。 大纲： 第1部分：创建比较和组成图表 描述：学习如何创建比较和组成图表。 第2部分：创建分布图表 描述：学习如何创建分布图表。 第3部分：创建专题可视化 描述：学习如何创建专题可视化。 第4部分：使用R Markdown沟通数据 描述：学习如何将可视化导出为常用文档文件。 第5部分：使用R实验室进行数据可视化与结果沟通 描述：根据数据集创建表示该数据的图表。
Part: 1
Title:Creating Comparison and Composition Charts
Description:Learn how to create comparison and composition charts.
Part: 2
Title:Creating Distribution Charts
Description:Learn how to create distribution charts.
Part: 3
Title:Creating Specialized Visualizations
Description:Learn how to create specialized visualizations.
Part: 4
Title:Communicating Data Using R Markdown
Description:Learn how to export visualizations as commonly used document files.
Part: 5
Title:Visualizing Data and Communicating Results with R Lab
Description:Given a data set, create a chart that represents that data.
Code and run your first R program in minutes without installing anything! This course is designed for learners with limited coding experience, providing foundational knowledge of data visualizations and R Markdown. The modules in this course cover different types of visualization models such as bar charts, histograms, and heat maps as well as R Markdown. Completion of the previous course (Data Analysis in R with RStudio & Tidyverse) in this specialization or similar experience is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.
