This course will be useful to anyone who wants to learn the R programming language, particularly to leverage it for data analysis and data science tasks. You will begin by setting up an R development environment and executing simple code. Then, you'll process atomic data types like characters, numbers, and logical. You'll also process data structures like vectors, factors, and data frames.
R Programming: Setup and Data Processing
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R Programming: Setup and Data Processing
本课程是 R Programming for Data Science 专项课程 的一部分
位教师：Bill Rosenthal
包含在 中
您将学到什么
In this course, you will set up an R development environment, execute simple code, and perform operations on atomic data types and data structures.
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最近已更新！
January 2026
作业
1 项作业
授课语言：英语（English）
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本课程是 R Programming for Data Science 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4个模块
Before you can start developing data science projects in R, you must set up a system with the necessary tools. Then you can create a new programming project and start writing and testing your code.
涵盖的内容
1篇阅读材料5个插件
Now that you have some experience with writing code in R, you can take a deeper dive into the characteristics of the language itself. Like all languages, R categorizes data in different ways. You'll need to know how to process each data type in order to successfully work with your data.
涵盖的内容
5个插件
In the previous lesson, you worked with R's atomic data types. These atomic types are components of larger objects that structure data in more complex, yet practical forms. In this lesson, you'll learn how to process the main data structures that R supports.
涵盖的内容
6个插件
You'll wrap things up and then validate what you've learned in this course by taking an assessment.
涵盖的内容
1篇阅读材料1个作业
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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