Learn the foundations of data science by exploring, transforming, and visualizing data with R. In this course, you’ll develop core skills in exploratory data analysis and statistical thinking including: using visualizations to uncover patterns, identifying trends, and generating insights.
Data Visualization and Transformation with R
Data Visualization and Transformation with R
本课程是 Data Science with R 专项课程 的一部分
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2,026 人已注册
您将学到什么
Transform, visualize, summarize, and analyze data in R, with packages from the Tidyverse, using RStudio
Carry out analyses in a reproducible and shareable manner with Quarto
Learn to effectively communicate results through an optional written project version controlled with Git and hosted on GitHub
您将获得的技能
- Exploratory Data Analysis
- Ggplot2
- Data Wrangling
- Data Visualization
- Version Control
- Data Analysis
- Data Transformation
- R Programming
- Statistical Programming
- Statistical Methods
- GitHub
- Data Visualization Software
- Data Manipulation
- Git (Version Control System)
- Tidyverse (R Package)
- Statistical Analysis
- 技能部分已折叠。显示 11 项技能，共 16 项。
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作业
3 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Data Science with R 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有3个模块
Hello World! In the first module, you will learn about what data science is and how data science techniques are used to make meaning from data and inform data-driven decisions. There is also discussion around the importance of reproducibility in science and the techniques used to achieve this. Next, you will learn the technology languages of R, RStudio, Quarto, and GitHub, as well as their role in data science and reproducibility.
涵盖的内容
4个视频11篇阅读材料1个作业2个讨论话题1个插件
In our second module, we'll advance our understanding of R to set the stage for creating data visualizations using tidyverse’s data visualization package: ggplot2. We'll learn all about different data types and the appropriate data visualization techniques that can be used to plot these data. The majority of this module is to help best understand ggplot2 syntax and how it relates to the Grammar of Graphics. By the end of this module, you will have started building up the foundation of your statistical tool-kit needed to create basic data visualizations in R.
涵盖的内容
4个视频5篇阅读材料1个作业1个讨论话题1个插件
In this module, we will take a step back and learn about tools for transforming data that might not yet be ready for visualization as well as for summarizing data with tidyverse’s data wrangling package: dplyr. In addition to describing distributions of single variables, you will also learn to explore relationships between two or more variables. Finally, you will continue to hone your data visualization skills with plots for various data types.
涵盖的内容
8个视频15篇阅读材料1个作业2个讨论话题1个插件
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学生评论
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RK
已于 Nov 3, 2025审阅
As a R beginner, this is very to start on and work my way up to programming
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Johns Hopkins University
Johns Hopkins University
