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 California San Diego
Biology Meets Programming: Bioinformatics for Beginners
Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures
4.2
Rating, 4.2 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
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 Software, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
R Programming and Tidyverse Capstone Project
Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation
4.7
Rating, 4.7 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Stanford University
Introduction to Statistics
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
4.1K reviews
Beginner · Course · 1 - 3 Months
Ball State University
Introduction to Programming
Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: New AI skills
Google
Google Project Management:
Skills you'll gain: Quality Management, Project Management Life Cycle, Project Scoping, Project Closure, Project Management, Project Planning, Continuous Improvement Process, Agile Project Management, Project Controls, Professional Networking, Backlogs, Agile Software Development, Quality Assessment, Team Management, Project Documentation, Agile Methodology, Communication Planning, Change Management, Milestones (Project Management), Interviewing Skills
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
129K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free
Princeton University
Computer Science: Programming with a Purpose
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)
4
Rating, 4 out of 5 stars
208 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Meta
Programming with JavaScript
Skills you'll gain: Jest (JavaScript Testing Framework), Javascript, Unit Testing, Web Applications, Programming Principles, Object Oriented Programming (OOP), Event-Driven Programming, Node.JS, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Program Development, Functional Design
4.7
Rating, 4.7 out of 5 stars
4.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Meta
Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM AI Developer
Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
69K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Full Stack Software Developer
Skills you'll gain: Prompt Engineering, Istio, HTML and CSS, Node.JS, Software Development Life Cycle, Software Architecture, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, OpenShift, Git (Version Control System), Full-Stack Web Development, Cloud Computing, Jupyter, Interviewing Skills
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
55K reviews
Beginner · Professional Certificate · 3 - 6 Months