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

Duke University
Python, Bash and SQL Essentials for Data Engineering
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Development Environment
4.5
Rating, 4.5 out of 5 stars
427 reviews
Beginner · Specialization · 3 - 6 Months
Rice University
Distributed Programming in Java
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Software Architecture, Systems Architecture, Programming Principles, Scala Programming, Algorithms, Computer Science, Cloud Computing, Network Protocols
4.5
Rating, 4.5 out of 5 stars
498 reviews
Intermediate · Course · 1 - 3 Months
Rice University
An Introduction to Interactive Programming in Python (Part 2)
Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, Program Development, Python Programming, Computer Programming, Computer Graphics, Data Structures
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Universidad Nacional Autónoma de México
Robótica
Skills you'll gain: Remote Access Systems, Mobile Development, Basic Electrical Systems, Prototyping, Electronic Systems, Computer Programming
4.5
Rating, 4.5 out of 5 stars
1.5K reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Introduction to the Tidyverse
Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management
4.4
Rating, 4.4 out of 5 stars
49 reviews
Beginner · Course · 1 - 3 Months
IBM
Developing Front-End Apps with React
Skills you'll gain: React Redux, React.js, Front-End Web Development, JavaScript Frameworks, UI Components, Full-Stack Web Development, Web Applications, Web Development Tools, User Interface (UI), Javascript, Event-Driven Programming, Git (Version Control System), Data Structures
4.3
Rating, 4.3 out of 5 stars
662 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Data Visualization and Transformation with R
Skills you'll gain: Version Control, Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation
4.9
Rating, 4.9 out of 5 stars
10 reviews
Beginner · 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
190 reviews
Beginner · Course · 1 - 4 Weeks
Northwestern University
Modern Robotics, Course 1: Foundations of Robot Motion
Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Matlab, Applied Mathematics, Physics, System Configuration, Angular
4.7
Rating, 4.7 out of 5 stars
983 reviews
Intermediate · Course · 1 - 3 Months
Instituto Tecnológico de Aeronáutica
Princípios de Desenvolvimento Ágil de Software
Skills you'll gain: User Story, Agile Software Development, Backlogs, Agile Methodology, Scrum (Software Development), Sprint Retrospectives, Test Driven Development (TDD), Agile Project Management, Requirements Analysis, Sprint Planning, Software Development Methodologies, Software Engineering, Continuous Integration
4.6
Rating, 4.6 out of 5 stars
218 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Django Application Development with SQL and Databases
Skills you'll gain: Object-Relational Mapping, Django (Web Framework), Bootstrap (Front-End Framework), SQL, Relational Databases, Cloud Applications, Database Management, Back-End Web Development, Databases, Database Design, Full-Stack Web Development, Application Deployment, Authentications, Model View Controller, Object Oriented Programming (OOP), Authorization (Computing), Application Development
4.5
Rating, 4.5 out of 5 stars
315 reviews
Intermediate · Course · 1 - 3 Months
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