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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/jhu-getting-started-data-viz-r
课程评论：没有评论
课程名称：R语言数据可视化入门 概述：数据可视化是现代职场中使用定量数据的人员必备的重要技能。本课程旨在为初学者提供R语言的基本知识，R语言结合tidyverse软件包，成为制作图形、表格和可重复报告的强大灵活平台。尽管R对首次使用者可能显得有些复杂，但本课程将为没有R经验的学习者提供深入的引导。完成课程后，学员将能够在R中导入数据，利用tidyverse工具进行数据处理，并使用R Markdown制作简单报告。课程适合计算机基础良好的学生，但编程经验有限。 课程大纲： 1. **数据管理与可视化基础** 这一模块将帮助学员设置R环境以处理数据进行可视化。学员应先观看各节的介绍视频，然后仔细阅读提供的资料。掌握内容后，可以再次观看视频以确认理解，并在学习过程中参加小测验以确保学习进度。 2. **使用Tidyverse包** 本模块将教授如何使用tidyverse中的函数来处理数据。学员需要观看每节的介绍视频，学习相关阅读材料，并通过小测验来巩固所学知识。 3. **使用R Markdown制作报告** 在这一模块中，学员将学习如何使用R Markdown制作可重复的报告。学习过程包括观看视频、阅读材料，以及在课程结束时提交包含所有课程内容的作业以供同行评审。 通过本课程，学习者将能够有效地掌握数据可视化的基本技能，为今后的数据分析和报告奠定坚实的基础。
Name:Getting Started with Data Management and Visualization with R
Description:In this module, we will get set up with R to process data for visualizations. 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:Using the Tidyverse packages
Description:In this module, we will use functions from the tidyverse to manipulate data. 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:Using R Markdown to Make Reports
Description:In this module, we learn to make reproducible reports using R Markdown. 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. 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.
