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

Status: New
Duke University
Data Science with R
Skills you'll gain: Data Ethics, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Git (Version Control System), Statistics, Data Wrangling, Tidyverse (R Package), Exploratory Data Analysis, Data Manipulation, Data Integrity, Data Import/Export, Data Collection, Data Cleansing, Data Presentation, Research, Data Science
4.8
Rating, 4.8 out of 5 stars
10 reviews
Beginner · Specialization · 1 - 3 Months
University of Toronto
Introduction To Swift Programming
Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Image Analysis, Debugging
3.9
Rating, 3.9 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 3 Months
Status: New
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Probability, Data Manipulation, Statistical Inference
Intermediate · Course · 1 - 3 Months
University of London
Introduction to Computer Science and Programming
Skills you'll gain: Computer Science, Computer Systems, Development Environment, Web Applications, Debugging, Graphing, Program Development, Computer Networking, Computational Thinking, Computer Programming Tools, Usability, Arithmetic, Applied Mathematics, Mathematical Modeling, Cybersecurity, Software Development Tools, Visualization (Computer Graphics), Computer Programming, Computer Graphics, Numerical Analysis
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
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, System Requirements, C (Programming Language), System Design and Implementation
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Specialization · 3 - 6 Months
Vanderbilt University
Android App Development
Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Maintainability, Software Design Patterns, Test Automation, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Development Testing, Software Testing, Testability, Software Engineering, Secure Coding, Java, User Interface (UI) Design, Application Development
4.5
Rating, 4.5 out of 5 stars
3.7K reviews
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development
4.7
Rating, 4.7 out of 5 stars
3K reviews
Intermediate · Course · 1 - 4 Weeks
University of Minnesota
Agile Software Development
Skills you'll gain: User Story, Agile Software Development, Agile Methodology, Agile Project Management, Scrum (Software Development), Sprint Planning, Software Development Methodologies, Sprint Retrospectives, Backlogs, Continuous Integration, Test Driven Development (TDD), Release Management
4.7
Rating, 4.7 out of 5 stars
7.4K reviews
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
JavaScript for Beginners
Skills you'll gain: jQuery, Javascript and jQuery, Javascript, Data Validation, HTML and CSS, Scripting, JSON, Event-Driven Programming, JavaScript Frameworks, UI Components, Web Development Tools, Web Development, Front-End Web Development, User Interface (UI), Interactive Design, Application Programming Interface (API), Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Program Development
4.7
Rating, 4.7 out of 5 stars
1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Leeds
Programming for Data Science
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Statistical Programming, Data Structures, Data Manipulation, Debugging
4.3
Rating, 4.3 out of 5 stars
24 reviews
Beginner · Course · 1 - 4 Weeks
Genentech
Hands On Clinical Reporting Using R
Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Data Presentation, Pharmaceuticals, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Processing, Data Manipulation, Data Transformation, Data Integration
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks