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 Alberta
Design Patterns
Skills you'll gain: Model View Controller, Software Design Patterns, Software Design, Unified Modeling Language, Object Oriented Design, Code Review, Software Architecture, Programming Principles, Maintainability, Java, Android Development, Software Development
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Intermediate · Course · 1 - 4 Weeks
University of London
Introduction to Computer Programming
Skills you'll gain: Development Environment, Debugging, Program Development, Computer Programming Tools, Software Development Tools, Visualization (Computer Graphics), Computer Programming, Computer Graphics, Integrated Development Environments, Event-Driven Programming, Javascript, Object Oriented Programming (OOP)
4.1
Rating, 4.1 out of 5 stars
899 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Washington
Programming Languages, Part C
Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Debugging
4.9
Rating, 4.9 out of 5 stars
461 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Algorithms for DNA Sequencing
Skills you'll gain: Bioinformatics, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Programming Principles, Computer Programming
4.7
Rating, 4.7 out of 5 stars
921 reviews
Mixed · Course · 1 - 4 Weeks
IBM
SQL: A Practical Introduction for Querying Databases
Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Microsoft SQL Servers, Query Languages, Database Management, Databases, Cloud Management, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing
4.7
Rating, 4.7 out of 5 stars
577 reviews
Beginner · Course · 1 - 3 Months
Scrimba
Frontend Development
Skills you'll gain: User Interface (UI) Design, Color Theory, Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Typography, User Interface and User Experience (UI/UX) Design, React.js, Web Development Tools, JSON, Design, Event-Driven Programming, Usability, Web Design, Javascript, Debugging, Web Development, Node.JS, Front-End Web Development
4.7
Rating, 4.7 out of 5 stars
454 reviews
Beginner · Specialization · 3 - 6 Months
Stanford University
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Network Routing, Computational Thinking, Data Structures, Design Strategies
4.8
Rating, 4.8 out of 5 stars
823 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Hardware Description Languages for FPGA Design
Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Systems Design, Electronic Hardware, Electrical and Computer Engineering, Simulation and Simulation Software, Embedded Systems, Verification And Validation, Computer Engineering, Development Testing, Debugging
4.4
Rating, 4.4 out of 5 stars
597 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad de los Andes
Programación en Python
Skills you'll gain: Data Visualization Software, Program Development, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Data Import/Export, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis
4.5
Rating, 4.5 out of 5 stars
191 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Bioconductor for Genomic Data Science
Skills you'll gain: Bioinformatics, Big Data, R Programming, Statistical Programming, Data Analysis, Data Manipulation, Data Structures, Software Installation, Data Access
3.8
Rating, 3.8 out of 5 stars
382 reviews
Mixed · Course · 1 - 4 Weeks
EIT Digital
Development of Secure Embedded Systems
Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Cryptography, Operating Systems, Security Requirements Analysis, Network Architecture, Network Security, Cybersecurity, Real Time Data, Web Services, Encryption, Engineering Software, Network Protocols, Public Key Cryptography Standards (PKCS), Wireless Networks, Computer Programming, C (Programming Language), System Testing, System Design and Implementation
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Specialization · 3 - 6 Months
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