Free
4.3

Beginner

10h

Updated 5 months ago

Learn R

This interactive R course covers everything from the basics, variables, and data types to advanced topics, such as recursion, file handling, and S3/S4 classes in R.
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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.
In today’s data-driven world, the ability to analyze large datasets is becoming a vital skill across industries. R, one of the m...Show More

WHAT YOU'LL LEARN

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
An understanding of the basics of R variables, data types in R, and how to use R cat and R print

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TAKEAWAY SKILLS

R

Programming Language

Learn to Code

Content

1.

Introduction to R

3 Lessons

Start your R course and learn R by exploring its benefits and target audience and creating an introductory "Hello World" program.

2.

R variables

9 Lessons

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

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.

5.

Conditional Statements in R

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

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.

8.

Input/Output in R

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

6 Lessons

Grasp the fundamentals of try and except in R to manage errors effectively and ensure code continuity.

10.

Classes in R

1 Lessons

Go hands-on with defining and differentiating S3 and S4 classes in R to understand object-oriented programming in R.

11.

R Programming Challenges

6 Lessons

Build a foundation for solving practical R programming challenges through vector manipulation and data analysis techniques.

12.

Conclusion

1 Lessons

Solve problems in R by using community-curated packages and continue practicing basic concepts.
Certificate of Completion
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Developed by MAANG Engineers
Every Educative lesson is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Free Resources

Frequently Asked Questions

Is it difficult to learn R?

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.

Can I learn R on my own?

Yes, you can learn R on your own. Many online platforms like Educative provide step-by-step lessons, exercises, and projects to help you practice and improve.

Which is easier, R or Python?

  • Python: Easier to learn because of its simple and readable syntax.
  • R: Better for data analysis and statistics because it has built-in tools for these tasks. The easier language depends on what you want to do.

Can I learn R in 3 months?

Yes, you can learn R in 3 months if you study regularly and practice. Focus on the basics first, then move to advanced topics like data analysis and file handling.

Is R programming still in demand?

Yes, R is still popular for data analysis, statistics, and research. Many industries use it because of its powerful tools for handling and visualizing data.