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

Multiple educators
Machine Learning
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
33K reviews
Beginner · Specialization · 1 - 3 Months
Johns Hopkins University
Developing Data Products
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Duke University
Data Tidying and Importing with R
Skills you'll gain: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Cleansing, R Programming, Data Transformation, Exploratory Data Analysis, Data Ethics
Beginner · Course · 1 - 4 Weeks
Universidades Anáhuac
Introducción a R
Skills you'll gain: Ggplot2, Data Visualization, R Programming, Data Presentation, Statistical Programming, Data Analysis, Data Visualization Software, Programming Principles, Data Manipulation, Software Installation
Beginner · Course · 1 - 3 Months
Status: Free
University of Toronto
Learn to Program: The Fundamentals
Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Software Design, Program Development, Integrated Development Environments, Data Structures, File Management
4.7
Rating, 4.7 out of 5 stars
6.7K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Using Python to Access Web Data
Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Processing, TCP/IP, Python Programming, Scripting, Hypertext Markup Language (HTML), Data Manipulation, Data Structures
4.8
Rating, 4.8 out of 5 stars
44K reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
The Arduino Platform and C Programming
Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Integrated Development Environments, Program Development, Development Environment, Computer Hardware, Computer Programming, Digital Communications, Open Source Technology
4.7
Rating, 4.7 out of 5 stars
7.1K reviews
Mixed · Course · 1 - 4 Weeks
Coursera Project Network
Bases y primeros pasos en R
Skills you'll gain: Data Import/Export, Scripting, R Programming, Statistical Programming, Data Manipulation, Data Structures
Beginner · Guided Project · Less Than 2 Hours
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Machine Learning Algorithms, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
4.9
Rating, 4.9 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Decision Tree Classifier for Beginners in R
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Test Data
4.8
Rating, 4.8 out of 5 stars
6 reviews
Beginner · Guided Project · Less Than 2 Hours
IBM
IBM Java Developer
Skills you'll gain: Spring Framework, Cloud-Native Computing, Software Development Life Cycle, Hibernate (Java), Docker (Software), Git (Version Control System), GitHub, HTML and CSS, Object Oriented Programming (OOP), Spring Boot, Object-Relational Mapping, Development Environment, Web Design and Development, Object Oriented Design, Java Programming, Generative AI, Interviewing Skills, CI/CD, Java, Professional Networking
4.7
Rating, 4.7 out of 5 stars
5K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of California, Santa Cruz
Go and C++: Programming in Two Successor Languages of C
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Debugging, Unit Testing, Algorithms, C (Programming Language), Program Development, Software Design, Computer Programming, Programming Principles, Graph Theory, Software Testing, File Systems, Artificial Intelligence, Integration Testing, System Programming
4.4
Rating, 4.4 out of 5 stars
2.5K reviews
Intermediate · Specialization · 3 - 6 Months