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

Johns Hopkins University
Getting Started with Data Visualization in R
Skills you'll gain: Rmarkdown, Data Visualization, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Processing, Data Management
4.7
Rating, 4.7 out of 5 stars
286 reviews
Beginner · Course · 1 - 4 Weeks
IBM
Data Visualization with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Statistical Visualization, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, Server Side, Application Deployment
4.6
Rating, 4.6 out of 5 stars
252 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Data Visualization and Transformation with R
Skills you'll gain: Version Control, Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation
4.9
Rating, 4.9 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Biostatistics, Time Series Analysis and Forecasting, Probability Distribution, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Specialization · 3 - 6 Months
Google
Get Started with Python
Skills you'll gain: Object Oriented Programming (OOP), Jupyter, Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Computer Programming, Programming Principles, Scripting, Data Manipulation
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, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Datamaps, Data Cleansing, Interactive Data Visualization, Scatter Plots, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design
4.2
Rating, 4.2 out of 5 stars
1.5K 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
4.3
Rating, 4.3 out of 5 stars
44 reviews
Beginner · Course · 1 - 4 Weeks
Packt
R Ultimate 2023 - R for Data Science and Machine Learning
Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Programming Principles, Applied Machine Learning, Image Analysis, Artificial Intelligence, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling
Beginner · Specialization · 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
Status: Free
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Visualization, Data Science, Visualization (Computer Graphics), Data Processing, Graphing, Data Import/Export, Scripting, Software Installation
4.7
Rating, 4.7 out of 5 stars
8.4K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Introduction to R: Basic R syntax
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Statistical Programming, Development Environment, Programming Principles
4.5
Rating, 4.5 out of 5 stars
44 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Build and deploy a stroke prediction model using R
Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Processing, Application Deployment, Data Import/Export, Machine Learning
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Guided Project · Less Than 2 Hours