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

Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science, Computer Science
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
Google
Crash Course on Python
Skills you'll gain: Scripting, Python Programming, Computer Programming, Algorithms, Problem Management, Data Structures, Debugging, Development Environment
4.8
Rating, 4.8 out of 5 stars
39K reviews
Beginner · Course · 1 - 3 Months
LearnQuest
Object-Oriented Programming Concepts
Skills you'll gain: Unified Modeling Language, Object Oriented Programming (OOP), Object Oriented Design, Test Driven Development (TDD), Software Design Patterns, Software Design, Programming Principles, Unit Testing, Computer Programming, Software Development Methodologies, Distributed Computing
4.5
Rating, 4.5 out of 5 stars
141 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
University of London
Object Oriented Programming
Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Development Environment, Programming Principles, Debugging, Data Structures, Algorithms, Interactive Design, Program Development, Data Modeling, Test Data, User Interface (UI), Command-Line Interface, Statistical Programming, Development Testing, Transaction Processing, File Management
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
216 reviews
Intermediate · Specialization · 1 - 3 Months
IBM
Building AI Powered Chatbots Without Programming
Skills you'll gain: IBM Cloud, Private Cloud, Data Loss Prevention, WordPress, Cloud Services, Application Deployment, Artificial Intelligence, Cloud Applications, Natural Language Processing, Business Process Automation, Customer Service
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months
Vanderbilt University
Introduction to Programming with MATLAB
Skills you'll gain: Matlab, Computer Programming, Programming Principles, Debugging, Mathematical Software, Data Manipulation, Computer Science, Algorithms, Data Import/Export, Data Structures, Linear Algebra, Engineering Calculations, Graphing
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Dartmouth College
C Programming with Linux
Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Embedded Systems, Programming Principles, Computer Engineering, Embedded Software, Linux, File Systems, Engineering Software, Build Tools, Data Structures, Unix, Program Development, Algorithms, Operating Systems, System Programming, Computer Programming, Software Installation, Software Documentation
4.6
Rating, 4.6 out of 5 stars
396 reviews
Beginner · Specialization · 3 - 6 Months
IBM
Applied Software Engineering Fundamentals
Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Architecture, Application Deployment, Automation, Flask (Web Framework), Web Scraping, Python Programming, Open Source Technology, Application Development
4.6
Rating, 4.6 out of 5 stars
47K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Java Programming and Software Engineering Fundamentals
Skills you'll gain: Object Oriented Programming (OOP), Java, Hypertext Markup Language (HTML), Software Design, Data Structures, Debugging, Software Engineering, Cryptography, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Encryption, Algorithms, Program Development, Web Design, Front-End Web Development, Statistical Analysis, Predictive Modeling, Computer Programming
4.6
Rating, 4.6 out of 5 stars
22K reviews
Beginner · Specialization · 3 - 6 Months
Google
Foundations: Data, Data, Everywhere
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Strategy, Data Visualization Software, SQL
4.8
Rating, 4.8 out of 5 stars
114K reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM AI Developer
Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
67K reviews
Beginner · Professional Certificate · 3 - 6 Months