What is R programming?

R programming is the use of the R computer language for statistical analysis and graphic presentation. R is commonly used in business and research computing environments to analyze and visualize data, then create reports that can be used for decision making. R programming is increasingly more important given the expansion of big data for analysis.

Why learn R programming?

It's important to learn R programming if you want to be able to build computer programs that wrangle data and convert it into usable information. Organizations often have large amounts of data but are unable to understand what it means. Using programs written by R, you can generate Bayesian statistics and graphic analysis for business analytics, public health, and medical research, among other industries. Learning R is a component of learning data science, so another reason to study R programming is to get some of the fundamentals completed before venturing deeper into computer science studies.

What are typical careers that use R programming?

Typical careers that use R programming are in business analytics, financial services, and medical research. It is also a skill used in many data science roles. R programming pulls out information from large sets of data, so any field that calls for statistical inference from big data needs competent R programmers to create the analytics and reports needed. Some experience with R programming is useful for people who will be managing programming teams or requesting reports made from programs written in R. As big data analysis becomes more important in more fields, R programming becomes more valuable in the workplace.

How can online courses help me learn R programming?

Online courses can help you learn R programming by introducing the fundamentals of the language, teaching how it connects to such industries as finance and health care, and offering projects that let you show what you have learned. Courses are offered at all levels, from beginning to advanced. Many of them set you up for further work in data science or allow you to earn a specialization or certificate.

What are the benefits of taking an online R Programming course?

Online R Programming courses offer a convenient and flexible way to enhance your knowledge or learn new R Programming skills. Choose from a wide range of R Programming courses offered by top universities and industry leaders tailored to various skill levels.

What R Programming courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in R Programming, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top R Programming Courses - Learn R Programming Online

Explore the R Programming Course Catalog

University of Colorado Boulder
Expressway to Data Science: R Programming and Tidyverse
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Statistical Visualization, Data Analysis, Statistical Reporting, Data Manipulation, Data Visualization Software, Data Science, Data Wrangling, Relational Databases, Data Transformation, Data Cleansing, Statistical Programming, Data Integration, Software Installation, Development Environment
4.1
Rating, 4.1 out of 5 stars
49 reviews
Beginner · Specialization · 1 - 3 Months
IBM
Data Visualization with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI), Server Side, Application Deployment
4.6
Rating, 4.6 out of 5 stars
256 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
GPU Programming
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Program Development, C and C++, Scalability, Deep Learning, Natural Language Processing, Linear Algebra, Distributed Computing, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, Computer Systems, Computer Programming, Software Development, Performance Tuning, Machine Learning, Data Structures
Build toward a degree
2.7
Rating, 2.7 out of 5 stars
144 reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Data Visualization & Dashboarding with R
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Data Visualization Software, Interactive Data Visualization, R Programming, Geospatial Information and Technology, Statistical Reporting, Plotly, Statistical Visualization, Data Storytelling, Heat Maps, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
428 reviews
Beginner · Specialization · 3 - 6 Months
Google
Get Started with Python
Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Computer Programming, Programming Principles, Scripting, Data Processing, Data Manipulation, Technical Communication
4.8
Rating, 4.8 out of 5 stars
1.5K reviews
Advanced · Course · 1 - 3 Months
Johns Hopkins University
Mastering Software Development in R
Skills you'll gain: Ggplot2, Open Source Technology, Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, R Programming, Data Visualization, Datamaps, Interactive Data Visualization, Object Oriented Programming (OOP), GitHub, Version Control, Rmarkdown, Data Cleansing, Debugging, Functional Design, Data Analysis Software
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
90K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
142K reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
Introduction to R Programming and Tidyverse
Skills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Development Environment
4.2
Rating, 4.2 out of 5 stars
45 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
The R Programming Environment
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Application Programming Interface (API)
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months