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Whether you're just starting out or already have some experience, we offer various R courses designed to fit your needs. Curated from top educational institutions and industry leaders, our selection of R courses aims to provide quality training for everyone—from individual learners seeking personal growth to corporate teams looking to upskill. For those pursuing professional advancement, skill acquisition, or even a new career path, these R courses can be a valuable resource. Take the next step in your professional journey and enroll in a R course today!
Browse R Courses
C
Google
Data Analysis with R ProgrammingSkills you'll gain: R Programming, Data Analysis, Computer Programming, Data Visualization, SQL
4.8
(9.2K reviews)
Beginner · Course · 1 - 3 Months
C
Duke University
Data Analysis with RSkills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Statistical Visualization, Bayesian Statistics, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Problem Solving, Critical Thinking, Correlation And Dependence, Regression, Bayesian Network, Computer Programming
4.7
(7.1K reviews)
Beginner · Specialization · 3 - 6 Months
C
Johns Hopkins University
R ProgrammingSkills you'll gain: Computational Thinking, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Structures, Problem Solving, Programming Principles, R Programming, Statistical Programming, General Statistics
Intermediate · Course · 1 - 4 Weeks
C
Johns Hopkins University
Data Science: Foundations using RSkills you'll gain: Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Computer Programming, Computer Programming Tools, Data Management, Programming Principles, Data Structures, Statistical Analysis, Critical Thinking, Problem Solving, General Statistics, Process Analysis, Basic Descriptive Statistics, Computational Thinking, Big Data, Data Visualization, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics)
4.6
(48K reviews)
Beginner · Specialization · 3 - 6 Months
C
Johns Hopkins University
Skills you'll gain: Data Visualization, R Programming, Statistical Programming, Data Analysis, Data Visualization Software, Computer Programming, Data Structures, Exploratory Data Analysis, Programming Principles, Statistical Visualization
4.8
(362 reviews)
Beginner · Specialization · 3 - 6 Months
C
IBM
IBM Data Analytics with Excel and RSkills you'll gain: Data Analysis, R Programming, Computer Programming, Data Visualization, Data Management, Statistical Programming, Databases, Exploratory Data Analysis, Plot (Graphics), Data Analysis Software, Data Structures, Statistical Analysis, Statistical Visualization, Basic Descriptive Statistics, Microsoft Excel, SQL, General Statistics, Interactive Data Visualization, Database Application, Extract, Transform, Load, Visualization (Computer Graphics), Spreadsheet Software, Database Design, Database Theory, Programming Principles, Database Administration, Computer Programming Tools, Correlation And Dependence, Data Mining, Data Visualization Software, Visual Design, Business Analysis, Statistical Tests, Python Programming, Data Science, NoSQL
4.7
(21K reviews)
Credit Eligible
Beginner · Professional Certificate · 3 - 6 Months
C
Coursera Project Network
Getting Started with RSkills you'll gain: Computer Programming, Data Analysis, Data Structures, R Programming, Data Science
4.3
(338 reviews)
Beginner · Guided Project · Less Than 2 Hours
- Data Analysis with R
Skills you'll gain: Data Analysis, Exploratory Data Analysis, R Programming, Computer Programming, General Statistics, Statistical Analysis, Statistical Programming, Basic Descriptive Statistics, Data Analysis Software, Statistical Visualization, Data Visualization, Data Science
4.7
(255 reviews)
Intermediate · Course · 1 - 3 Months
C
IBM
Applied Data Science with RSkills you'll gain: Data Analysis, R Programming, Computer Programming, Statistical Programming, Data Management, Data Visualization, Databases, Exploratory Data Analysis, Statistical Analysis, Data Analysis Software, Data Structures, Plot (Graphics), Statistical Visualization, Basic Descriptive Statistics, Interactive Data Visualization, SQL, Database Application, Extract, Transform, Load, General Statistics, Visualization (Computer Graphics), Programming Principles, Database Administration, Database Design, Database Theory, Computer Programming Tools, Correlation And Dependence, Visual Design, Statistical Tests, Data Science
4.5
(856 reviews)
Beginner · Specialization · 3 - 6 Months
C
Johns Hopkins University
Mastering Software Development in RSkills you'll gain: R Programming, Statistical Programming, Data Analysis, Software Engineering, Exploratory Data Analysis, Basic Descriptive Statistics, Data Visualization, Computer Programming
4.3
(1.5K reviews)
Beginner · Specialization · 3 - 6 Months
Status: Free
FreeC
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con RSkills you'll gain: R Programming, Statistical Programming, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, General Statistics, Probability & Statistics, Programming Principles, Computer Graphics
4.7
(8.1K reviews)
Beginner · Course · 1 - 3 Months
C
Imperial College London
Statistical Analysis with R for Public HealthSkills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Tests, R Programming, Regression, Biostatistics, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Critical Thinking, Correlation And Dependence, Probability Distribution, Epidemiology
4.7
(1.9K reviews)
Beginner · Specialization · 3 - 6 Months
Searches related to r
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In summary, here are 10 of our most popular r courses
- Data Analysis with R Programming:Google
- Data Analysis with R:Duke University
- R Programming:Johns Hopkins University
- Data Science: Foundations using R:Johns Hopkins University
- :Johns Hopkins University
- IBM Data Analytics with Excel and R:IBM
- Getting Started with R:Coursera Project Network
- Data Analysis with R:IBM
- Applied Data Science with R:IBM
- Mastering Software Development in R:Johns Hopkins University
Skills you can learn in Data Analysis
Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)
Frequently Asked Questions about R
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. While R is widely used among statisticians and data miners for statistical software and data analysis, it is becoming popular among data scientists as well. Proficiency in R has become a standard requirement for many data science and statistician-related jobs.
We recommend these courses for those with some basic knowledge of R that want to use it in a Data Science and Software Development context. You may wish to use it for exploratory data analysis, data visualization, probability, inference, linear regression, and more. You may desire to expand your data science skills and use R in your everyday role to interact more with the data you work with.
According to Burning Glass, there were ~50K job postings in the last 12 months requiring R as a skill. Some of the functional job titles requiring this skill are Business Intelligence Analyst, Operations Research Analyst, Management Analyst, and Market Research Analyst. If your work involves data analysis, modeling, or visualization, R is a powerful skill to add to your portfolio.
While there are generally no specific prerequisites for beginner-level R courses, programming language basics is one of the key topics you typically need to know before you start to learn R programming language. It can also help if you have a solid understanding of math and statistics before beginning R courses. Introductory-level data visualization skills, such as understanding how plots and graphs work, can also be helpful when learning the R programming language. Additionally, analytical and critical thinking skills can be helpful when you’re starting to study R.
People who are highly analytical and curious are typically best suited for roles in R. People who enjoy statistics and using statistical models to solve problems can also be well suited to roles in R. Those who have an affinity for using computer technology and machine learning can potentially be well suited to learning this programming language. People who enjoy highly detailed tasks and who have strong problem-solving skills are typically well suited for R roles. Additionally, people who work in fields like lean manufacturing, public health, and finance can be well suited for roles in R.
Some common career paths for people in R include machine learning engineers, data scientists, data miners, data engineers, and statisticians. These fall under the category of computer programming jobs, which according to the Bureau of Labor Statistics pay a higher than average wage. These types of computer programming jobs typically require a bachelor’s degree. Competition can be stiff for these jobs, though, due to the influx of workers in the field as a result of global trade.
Mathematics, statistics, and AI are topics you could study that are related to R. Data visualization is another related topic, along with probability and the broader field of data science. You could study the related topics of data structure, data analysis, and data type as part of your R studies. Data manipulation and data cleansing are related topics that you could study, and you could also study GitHub and regular expression (REGEX).
Online R courses offer a convenient and flexible way to enhance your knowledge or learn new R skills. Choose from a wide range of R courses offered by top universities and industry leaders tailored to various skill levels.
Coursera's entire course catalog is offered to Enterprise customers with no limitations. Choosing the best R course depends on your employees' needs and skill levels. Leverage our Skills Dashboard to understand skill gaps and determine the most suitable course for upskilling your workforce effectively. Learn more about Coursera for Business here.
This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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