Interested in diving into data analysis and statistical computing without the financial burden?
Start your journey with the best websites to learn R Programming for free, where you can master this powerful statistical language and unlock the potential of data analysis at no cost.
10 Best Websites for R Programming – Overview
Here’s an overview of the top 10 websites to learn R Language:
| S.No. | Website Name | Course Duration | Pricing | Certification | Website Link |
|---|---|---|---|---|---|
| 1 | GUVI | Self-paced | Paid | Yes | Visit Now |
| 2 | DataCamp | 4 hours | Freemium | Yes | Visit Now |
| 3 | Coursera | 57 hours | Freemium | Yes | Visit Now |
| 4 | edX | 8 weeks | Freemium | Yes | Visit Now |
| 5 | Codecademy | 14 hours | Freemium | Yes | Visit Now |
| 6 | swirl | Self-paced | Free | No | Visit Now |
| 7 | RStudio Education | Self-paced | Free | No | Visit Now |
| 8 | Tutorialspoint | Self-paced | Free | No | Visit Now |
| 9 | MIT OpenCourseWare | Self-paced | Free | No | Visit Now |
| 10 | LinkedIn Learning | 4.5 hours | Paid | Yes | Visit Now |
Best Websites to Learn R Programming for Beginners
Below is the list of best websites to learn R Programming for beginners:
1. GUVI
GUVI offers an R Programming course aimed at teaching all aspects of R programming, from basics to an advanced level. This comprehensive course is designed to elevate skills and boost careers by covering fundamental concepts and applications of R programming in data science.
Course Diversity: The course likely covers a broad range of topics in R programming, including data manipulation, visualization, statistical analysis, and potentially machine learning techniques, though specific module details are not provided.
Pricing: INR 1499
Certifications: Globally recognized certification issued by GUVI, an IIT-M incubated company.
Language Options: English
Course Duration: Self-paced
2. DataCamp
DataCamp’s “Introduction to R” course is a beginner-friendly program aimed at teaching the basics of data analysis using R. It focuses on teaching how to manipulate data structures like vectors, lists, and data frames.
Course Diversity: This course delves into various fundamental topics including operations in R, creating vectors, working with matrices, handling factors, managing data frames, and understanding lists.
Pricing: Free.
Certifications: Statement of accomplishment
Language Options: English
Course Duration: Approximately 4 hours with 62 exercises.
3. Coursera
Johns Hopkins University’s “R Programming” course on Coursera focuses on programming in R and its use in data analysis. The curriculum includes topics like practical issues in statistical computing, data analysis techniques, and various examples to demonstrate these concepts.
Course Diversity: The course covers software installation and configuration, programming language concepts, statistical computing, reading data into R, using R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
Pricing: Free, with an option for a paid certificate.
Certifications: Shareable certificate
Language Options: English, with some content available in 22 different languages.
Course Duration: The estimated time to complete the course is 57 hours.
4. edX
“Data Science: R Basics,” offered by HarvardX on edX, is the first course in the Professional Certificate Program in Data Science. It introduces learners to R programming with a focus on wrangling, analyzing, and visualizing data.
Using a real-world dataset about crime in the United States, the course provides practical R skills needed for data analysis, including operations with vectors, data types, and indexing.
Course Diversity: This course covers foundational R programming concepts like data types and vectors arithmetic. Learners will perform operations in R, including sorting, data wrangling using dplyr, and making plots.
Pricing: Free, with an optional upgrade for a certificate.
Certifications: Shareable certificate
Language Options: English with video transcripts available in multiple languages, including Arabic, German, Spanish, French, Hindi, Bahasa Indonesia, Portuguese, Kiswahili, Telugu, Turkish, and Chinese.
Course Duration: It is an 8-week course with an estimated effort of 1–2 hours per week.
5. Codecademy
Codecademy’s “Learn R” course is aimed at teaching the R programming language, focusing on coding, cleaning, manipulating data for analysis, and visualization.
This beginner-level course is designed for learners to gain proficiency in organizing, editing, cleaning data, and creating data visualizations in R.
Course Diversity: The syllabus includes 16 lessons, 10 projects, and 10 quizzes, covering topics like R syntax basics, data frames, data cleaning, data visualization fundamentals using ggplot2, aggregate functions, joining tables, and more.
Pricing: Free, a certificate of completion included with paid plans.
Certifications: Certificate of completion
Language Options: English
Course Duration: 14 hours
6. swirl
Swirl is an R package designed to make learning R programming and data science both fun and easy. Ideal for beginners, Swirl walks students through the steps necessary to start using R efficiently.
The learning process involves installing R, optionally RStudio for a better experience, and then installing and starting Swirl for interactive learning.
Course Diversity: Swirl offers interactive courses covering various R programming topics. Students are guided through the basics of R, its functions, data types, and other key concepts.
Pricing: Free
Certifications: Nil
Language Options: English
Course Duration: Self-paced
7. RStudio Education
RStudio Education offers a variety of resources for beginners to start learning R. These resources include installation guides for R and RStudio, a webinar on tidy statistics, the book “R for Data Science,” RStudio.cloud Primers for hands-on coding, tutorials on R Markdown for publishing work, and a series of essential videos on using RStudio’s development tools.
Course Diversity: The offered resources cover a broad spectrum, from basic R programming concepts to advanced data visualization and data science applications.
Pricing: Free
Certifications: Nil
Language Options: English
Course Duration: Self-paced
8. Tutorialspoint
The R Tutorial on TutorialsPoint is tailored for software programmers, statisticians, and data miners who are keen on developing statistical software using R programming.
This comprehensive tutorial covers R’s environment setup, basic syntax, data types, variables, operators, decision-making, loops, functions, strings, vectors, lists, matrices, arrays, factors, data frames, and more.
Course Diversity: This tutorial spans a broad range of R programming aspects, including data reshaping, data interfaces (CSV, Excel, XML, JSON), database management, and creating various charts and graphs.
It also delves into statistical data analysis with practical examples, such as linear regression, multiple regression, logistic regression, and time series analysis.
Pricing: Free
Certifications: Nil
Language Options: English
Course Duration: Self-paced
