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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualization-with-r-and-ggplot2/
课程评论：没有评论
课程名称：使用 R 和 ggplot2 的数据可视化 课程概述：在当今这个每秒产生海量数据的世界中，我们需要分析数据以获得有用的见解。而数据可视化是获取数据洞察的重要工具。正如人们常说的：“一图胜千言”。为了从数据中讲述故事，我们需要能够产生精美图形的工具。而 R 作为数据科学和统计领域中一种快速发展的工具，正好提供了这种支持。结合 R 和其库 ggplot2，我们可以获得一种强大的数据可视化工具，它的功能每天都在增长，自由可用。 本课程旨在首先为学员提供关于创建统计图的理论基础。随后，学员将深入探索各种数据集，并创建多种统计图形。通过本课程，你将学习到很多新知识，包括但不限于以下主题： - 图形语法（统计图背后的理念，是 ggplot2 的基础） - 使用 dplyr 和 tidyr 进行数据转换（包含速成课程） - 探索性数据分析（EDA）（用于探索一个连续变量或一个离散变量的统计图） - 探索两个或更多变量的 EDA（不同的统计图） - 将 ggplot2 与 RMarkdown 结合，以整理分析结果并生成 HTML 报告 - 通过结合 ggplot2 和其他库（如词云、平行坐标图、热图、雷达图等）创建额外类型的图表 - 绘制地图以展示新冠病毒传播情况 - 定制图表主题 - 使用 cowplot 库创建子图 - 使用 gghighlight 库在图中突出显示数据 - 以及更多内容... 课程包含：20 多小时的讲座视频、提供的 R 脚本和附加数据、与作业的互动（测试你的技能）、作业逐步讲解视频（查看你的结果）。总的来说，这使得本课程成为 Udemy 上最全面的数据可视化课程之一。今天就报名，成为数据可视化的大师吧！
Today we live in a world where tons of data is generated every second. We need to analyze data to get some useful insight. One of the strongest weapons for data insight is data visualization. Probably you have heard this one before: "A picture tells more than a thousand words combined ". Therefore to tell stories from the data we need tools for producing adequate and amazing graphics. Here R as one of the most rapidly growing tools in the fields of data science and statistics provides needed assistance. If you combine R with its library ggplot2 you get one of the deadliest tools for data visualization, which grows every day and is freely accessible to anyone.This course is designed to first give you quick and proper theoretical foundations for creating statistical plots. Then you dive into the world of exploratory data analysis where you are confronted with different datasets and creating a wide variety of statistical plots.If you take this course, you will learn a ton of new things. Here are just a few topics you will be engaged with:The grammar of graphics (the idea behind statistical plots, the foundation of ggplot2)Data transformation with dplyr and tidyr (crash course included)Exploratory data analysis (EDA) (statistical plots for exploring one continuous or one discrete variable)EDA for exploring two or more variables (different statistical plots)Combine ggplot2 with RMarkdown to wrap up your analysis and produce HTML reportsCreate some additional types of plots by combining ggplot2 and supplementary libraries (word cloud, parallel coordinates plot, heat map, radar plot,...)Draw maps to show the spread of coronavirus diseaseCustomize the plot's themeCreate subplots using cowplot libraryHighlight data on your plot with gghighlight libraryand much more...Course includes:over 20 hours of lecture videos,R scripts and additional data (provided in the course material),engagement with assignments, where you have to test your skills,assignments walkthrough videos (where you can check your results).All being said this makes one of Udemy's most comprehensive courses for data visualization using R and ggplot2.Enroll today and become the master of data visualization!!!
