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
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What you'll learn
Implement conditional program logic using if-else structures, nested conditional statements, `is` functions, and the `%in%` membership operator.
Control execution flow with for and while loops alongside functional vectorized loop alternatives like `apply()`, `lapply()`, and `sapply()`.
Structure reusable code by defining custom functions with dynamic scope, lazy evaluation rules, and flexible ellipsis `(...)` arguments.
Data files for this course are provided in the first course of this specialization, "R Programming: Setup and Data Processing".
Skills you'll gain
Tools you'll learn
Details to know
January 2026
1 assignment
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There are 3 modules in this course
In this course, you'll continue to develop your R programming skills by writing conditional statements and loopsβtwo 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.
This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you have R and R Studio installed on a Windows PC. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
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
1 readingβ’Total 5 minutes
- β οΈREAD THIS FIRSTβ οΈβ’5 minutes
4 pluginsβ’Total 120 minutes
- Lesson Introductionβ’5 minutes
- Write Conditional Statementsβ’55 minutes
- Write Loopsβ’55 minutes
- Lesson Summaryβ’5 minutes
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
5 pluginsβ’Total 190 minutes
- Lesson Introductionβ’5 minutes
- Define and Call Functionsβ’60 minutes
- Apply Loop Functionsβ’60 minutes
- Manage R Packagesβ’60 minutes
- Lesson Summaryβ’5 minutes
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
1 readingβ’Total 5 minutes
- Course Summaryβ’5 minutes
1 assignmentβ’Total 10 minutes
- Course Assessmentβ’10 minutes
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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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