R is not very hard to learn, especially if you use a structured course. It is designed for data analysis and has many built-in functions. While its syntax might seem different at first, regular practice makes it easy to understand.
Join 2.9 million developers at
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LEARNING OBJECTIVES
- An understanding of the basics of R variables, data types in R, and how to use R cat and R print
- The ability to manipulate R strings, vectors, lists, arrays, and matrices
- An understanding of data frames in R programming
- The ability to apply arithmetic operators in R, relational operators in R, and logical operators in R to process data
- Hands-on experience writing control flow structures like if statements in R, switch statements in R, and different types of loops in R (e.g., for loop in R, while loop in R)
- Familiarity with advanced topics such as nested functions in R, recursion in R, and file handling in R
- The ability to handle errors with try and except in R and learn object-oriented programming with S3 and S4 classes in R
Learning Roadmap
1.
Introduction to R
Introduction to R
Start your R course and learn R by exploring its benefits and target audience and creating an introductory "Hello World" program.
2.
R variables
R variables
Grasp the fundamentals of R variables, manage R data types, and perform basic operations with R cat, R print, and R strings.
3.
Data Structures in R
Data Structures in R
13 Lessons
13 Lessons
Examine R vectors, R lists, R arrays, R matrices, data frames in R programming, and factors to understand R’s core data structures.
4.
Operator in R
Operator in R
8 Lessons
8 Lessons
Enhance your skills with arithmetic, relational, and logical operators in R to perform efficient operations and comparisons.
5.
Conditional Statements in R
Conditional Statements in R
9 Lessons
9 Lessons
Take a closer look at using R if and switch statements for conditional logic and decision-making in your R programs.
6.
Loops in R
Loops in R
9 Lessons
9 Lessons
Tackle for loop in R and while loop in R constructs, with practical exercises and solutions to enhance your looping skills in R programming.
7.
Function in R
Function in R
11 Lessons
11 Lessons
Master creating, returning, and nesting nested functions in R, including recursion in R, to enhance your coding efficiency and problem-solving skills.
8.
Input/Output in R
Input/Output in R
8 Lessons
8 Lessons
Learn how to use file handling in R for efficient data input/output, managing TXT and CSV files, and performing essential data manipulations.
9.
Exception Handling in R
Exception Handling in R
6 Lessons
6 Lessons
Grasp the fundamentals of try and except in R to manage errors effectively and ensure code continuity.
11.
R Programming Challenges
R Programming Challenges
6 Lessons
6 Lessons
Build a foundation for solving practical R programming challenges through vector manipulation and data analysis techniques.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
In today’s data-driven world, the ability to analyze large datasets is becoming a vital skill across industries. R, one of the most powerful languages for data analysis.
This interactive R course is designed for beginners, with no prior knowledge of R programming required. You will begin with fundamental concepts, such as R variables, data types in R, and basic functions like R print and R cat. As you progress, you will dive into more complex topics, including R vectors, lists, arrays, matrices, and data frames in R programming. You’ll also learn how to perform operations using arithmetic operators in R, relational operators in R, and logical operators in R. Further, the course covers advanced features like if statements in R, switch statements in R, loops in R, and recursion in R.
Finally, you’ll gain hands-on experience with file handling in R, exception handling with try and except in R, and object-oriented programming using S3 and S4 classes in R.
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Frequently Asked Questions
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