Learn about R Programming Language and the Best Courses

It is important to Learn about R Programming Language first before undertaking any online or classroom based training for certification.

R is a programming language that has gained significant popularity among data analysts and scientists in recent years. It was developed in the 1990s by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.

R is an open-source language, which means that anyone can use, modify, or distribute the code. In this article, we will explore the capabilities and uses of R, how to install and set up the R environment, the basics of R programming, and data manipulation and analysis using R.

Overview of R’s Capabilities and Uses

R has an extensive library of tools and packages that can be used for a wide range of applications. It is especially popular among data scientists for statistical analysis, data visualization, and modeling. R is also used in finance, healthcare, and social science research. It is a versatile language that can handle large datasets and has a range of features for big data manipulation and cleaning.

Installation and Setup of R

Before we dive into the details of R programming, let’s first look at how to install and set up the R environment. R is available for Windows, macOS, and Linux. The system requirements for R installation depend on the operating system you are using.

You can download R from the official website of CRAN (Comprehensive R Archive Network). Once you have downloaded the installer, you can follow the instructions to install R on your system. After installation, you can set up the R environment by installing packages and configuring the settings.

R Programming Basics

R has a syntax similar to that of other programming languages. The basic building blocks of R are numbers, characters, vectors, and arrays. R also allows the creation of user-defined functions which can be used to perform specific tasks. The language supports basic programming constructs such as loops and conditional statements. R also has a range of data structures such as matrices, data frames, and lists.

Data Manipulation and Analysis with R

One of the essential features of R is its ability to manipulate and analyze data. You can import data into R from various file formats such as CSV, Excel, and text files.

Once the data is imported, you can use R’s functions to clean the data, remove missing values, and convert the big datatypes.

R has a range of statistical functions for descriptive and inferential analysis. The language supports data visualization with functions such as ggplot2.

Resources and Next Steps for Learning R

There are various resources available for learning R. You can find online tutorials, courses, and books on R programming. Some popular online platforms for R learning are DataCamp, Coursera, and edX.

There are also many books available on R programming, such as “R for Data Science” by Hadley Wickham and Garrett Grolemund. To advance your R skills, you can also participate in R communities and forums where you can learn from other R experts and share your knowledge.

Top 5 R Programming Language Courses

R Programming Language has gained immense popularity in recent years due to its contribution to the world of data analytics, data science, and data visualization.

It is an open-source programming language widely used by statisticians and data analysts to conduct statistical analysis and develop data-driven models.

In this section, we will discuss the top 5 R Programming Language courses that cater to the growing demand for R skills among professionals.

Top 5 R Programming Language Courses list

  • DataCamp
  • Coursera
  • edX
  • Udemy
  • HarvardX

Data Camp

DataCamp is a popular online learning platform that offers data-driven courses to help individuals build their data skills. The platform offers over 300 R Programming Language courses to help learners acquire hands-on experience in R.

The courses are designed to build a strong foundation in R and progress to advanced level concepts. The curriculum is structured in a way that allows learners to grasp the concepts easily and apply them to real-world problems.


Coursera is another popular online learning platform that offers courses on R Programming Language. The courses are designed by renowned industry experts and are aimed at helping learners develop a comprehensive understanding of R.

The platform offers certification options, which can help learners showcase their skills to potential employers. Additionally, Coursera courses provide an interactive learning experience, with quizzes, assignments, and video lectures.


edX is an online learning platform that provides access to university-backed courses. The platform offers a range of R Programming Language courses, both free and paid, to cater to different learning needs.

The courses cover a variety of topics, from basic concepts to advanced level tools and techniques. The platform offers flexible learning options, allowing learners to study at their own pace.


Udemy is another online learning platform that offers comprehensive R Programming Language courses. The courses are designed to provide learners with a fundamental understanding of R and train them to use it for data analysis and visualization.

The platform offers self-paced learning options, which make it suitable for learners with varying levels of experience. Udemy courses are structured to help learners master R in a step-by-step manner.


HarvardX is an online learning platform that offers courses endorsed by the prestigious Harvard University. The platform offers a range of R Programming Language courses designed to provide learners with an engaging and interactive learning experience.

The courses cover a range of topics, from basic concepts to advanced level tools and techniques. The platform offers a hands-on learning experience, with case studies and interactive projects.


In this article, we learned about the R programming language, its history, and its capabilities. We also looked at how to install and set up the R environment, the basics of R programming, and data manipulation and analysis using

R. Finally, we explored some resources for learning and advancing your R skills. With its powerful data manipulation and analysis capabilities, R is an essential tool for data scientists and analysts, and it’s worth investing time in learning the language.

Choosing the right R Programming Language course is essential to develop strong data skills. The top 5 R Programming Language courses discussed in this article are DataCamp, Coursera, edX, Udemy, and HarvardX.

Each platform offers its unique features, such as comprehensive courses, university-backed courses, and interactive learning experiences. It is essential to choose the course that caters to individual learning needs and fits within the budget.

By selecting the right course, learners can acquire the necessary skills to excel in the field of data analytics and data science.

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