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
This course is part of R Programming for Data Science Specialization
Instructor: Bill Rosenthal
Included with
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
In this course, you will set up an R development environment, execute simple code, and perform operations on atomic data types and data structures.
Skills you'll gain
Details to know
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Recently updated!
January 2026
Assessments
1 assignment
Taught in English
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This course is part of the R Programming for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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.
What's included
1 reading5 plugins
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.
What's included
5 plugins
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.
What's included
6 plugins
You'll wrap things up and then validate what you've learned in this course by taking an assessment.
What's included
1 reading1 assignment
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Frequently asked questions
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.
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