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Learn R Online
Overview
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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
Show more
TAKEAWAY SKILLS
R
Programming Language
Learn to Code
Content
84 Lessons8 Quizzes20 Challenges
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.
4.
Operator in R
8 Lessons
Enhance your skills with arithmetic, relational, and logical operators in R to perform efficient operations and comparisons.
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.
7.
Function in R
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
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
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Every Educative lesson is designed by a 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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Hands-on Learning Powered by AI
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AI Prompt
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AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!
Related Courses and Skill Paths
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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.
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