In this course, you'll continue to develop your R programming skills by writing conditional statements and loops—two of the most important constructs in any programming language. You'll also structure code for reuse by defining and calling functions, applying loop functions, and managing R packages.
R Programming: Conditionals, Loops, Functions, and Packages
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R Programming: Conditionals, Loops, Functions, and Packages
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.
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
In this course, you will write conditional statements and loops, and structure code for reuse with functions and packages.
Skills you'll gain
Details to know
Shareable certificate
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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 3 modules in this course
Like any modern programming language, R enables you to control the logical flow of a program. The main constructs for doing so are conditional statements and loops, which you'll implement in this lesson so that you can apply decision making to code.
What's included
1 reading4 plugins
Most languages excel at giving programmers the tools they need to make coding easier. Reusing code not only allows you to develop at a quicker pace, but it also makes your source code more readable. Inefficient and ugly code is incredibly difficult to maintain, so you'll leverage R's built-in reusable objects to avoid this pitfall
What's included
5 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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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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.
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