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

Amazon
Programming with Java
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java Programming, File Management, Debugging, Software Development
4.2
Rating, 4.2 out of 5 stars
43 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
University of California, Santa Cruz
C, Go, and C++: A Comprehensive Introduction to Programming
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Software Design, Graph Theory, Computer Science, Software Testing, File Systems
4.5
Rating, 4.5 out of 5 stars
9.4K reviews
Intermediate · Specialization · 3 - 6 Months
IBM
Information Technology (IT) and Cloud Fundamentals
Skills you'll gain: Cloud Computing Architecture, Cloud Services, Peripheral Devices, Cybersecurity, Computing Platforms, Cloud Security, Cloud Infrastructure, Cloud Platforms, System Support, Network Protocols, Encryption, Cyber Attacks, Desktop Support, Software Development Life Cycle, Cloud Storage, Application Development, General Networking, Information Technology, Cloud Computing, Databases
4.6
Rating, 4.6 out of 5 stars
10K reviews
Beginner · Specialization · 3 - 6 Months
Meta
Meta React Native
Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, UI/UX Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface and User Experience (UI/UX) Design, Mobile Development, Design Research, Cross Platform Development, React.js, Web Development Tools
4.6
Rating, 4.6 out of 5 stars
10K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Financial Risk Management with R
Skills you'll gain: Financial Market, Risk Management, Risk Analysis, R Programming, Financial Data, Probability Distribution, Financial Analysis, Portfolio Management, Securities (Finance), Time Series Analysis and Forecasting, Statistical Modeling, Statistical Methods
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
248 reviews
Intermediate · Course · 1 - 4 Weeks
Meta
Programming Fundamentals in Kotlin
Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Programming Principles, Android Development, Data Structures, Computer Programming, Mobile Development, Debugging
4.7
Rating, 4.7 out of 5 stars
319 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Getting Started with Rstudio
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
140 reviews
Beginner · Guided Project · Less Than 2 Hours
IBM
IBM iOS and Android Mobile App Developer
Skills you'll gain: React Native, Software Development Life Cycle, iOS Development, Flutter (Software), Swift Programming, Apple Xcode, Mobile Development, Android Studio, User Centered Design, Android Development, Apple iOS, React Redux, Git (Version Control System), GitHub, Mobile Development Tools, React.js, Android (Operating System), HTML and CSS, Front-End Web Development, Generative AI
4.6
Rating, 4.6 out of 5 stars
5.8K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of London
Introduction to Object-Oriented Programming in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Interactive Design, Program Development, User Interface (UI), Command-Line Interface
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
157 reviews
Intermediate · Course · 1 - 4 Weeks
Meta
Meta Android Developer
Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, UI/UX Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface and User Experience (UI/UX) Design, Mobile Development
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
8.4K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months