Course
Intermediate R
BasicSkill Level
Updated 03/2026RProgramming6 hr14 videos81 Exercises6,950 XP660K+Statement of Accomplishment
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Start Course for FreeWhat you'll learn
- Apply mathematical and data-structure utility functions (abs(), round(), seq(), rep(), sort(), str()) to transform and inspect R objects.
- Create, convert, and compute with R date and time objects using Sys.Date(), Sys.time(), as.Date(), and as.POSIXct().
- Use lapply(), sapply(), and vapply() to apply functions over lists/vectors and reason about simplification behavior and return types.
- Use regular expression functions (grepl(), grep(), sub(), gsub()) to detect, extract, and replace text patterns in character data.
- Write custom R functions with arguments, defaults, control flow, and safe processing logic using if, else if, and return().
Prerequisites
Introduction to R1
Conditionals and Control Flow
In this chapter, you'll learn about relational operators for comparing R objects, and logical operators like "and" and "or" for combining TRUE and FALSE values. Then, you'll use this knowledge to build conditional statements.
2
Loops
Loops can come in handy on numerous occasions. While loops are like repeated if statements, the for loop is designed to iterate over all elements in a sequence. Learn about them in this chapter.
3
Functions
Functions are an extremely important concept in almost every programming language, and R is no different. Learn what functions are and how to use them—then take charge by writing your own functions.
4
The apply family
Whenever you're using a for loop, you may want to revise your code to see whether you can use the lapply function instead. Learn all about this intuitive way of applying a function over a list or a vector, and how to use its variants, sapply and vapply.
5
Utilities
Mastering R programming is not only about understanding its programming concepts. Having a solid understanding of a wide range of R functions is also important. This chapter introduces you to many useful functions for data structure manipulation, regular expressions, and working with times and dates.
Intermediate R
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FAQs
Is this course suitable for beginners?
This course is designed to help intermediate-level R programmers take the next step in advancing their skills. If you are a beginner, we suggest taking our Introduction to R course first.
Who will benefit from this course?
This course is suitable for individuals who work with data manipulation and analysis, such as data analysts and scientists.
What topics are covered in this course?
In this course, you will learn about conditional statements, loops, functions, applying functions, data structure manipulations, regular expressions, and working with times and dates.
Will I receive a certificate at the end of the course?
Yes, upon completing all course activities you will receive a certificate of completion.
What types of functions will I learn?
The course covers functions such as lapply, sapply, and vapply.
How long will this course take to complete?
This course is estimated to take about 6 hours of learning.
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