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
Writing, Running, and Fixing Code in C
Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Programming Principles, Algorithms, Development Environment, C (Programming Language), Command-Line Interface
4.3
Rating, 4.3 out of 5 stars
802 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Using probability distributions for real world problems in R
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
4.8
Rating, 4.8 out of 5 stars
28 reviews
Beginner · Guided Project · Less Than 2 Hours
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, Linear Algebra, Applied Mathematics, Physics, System Configuration, Angular
4.7
Rating, 4.7 out of 5 stars
984 reviews
Intermediate · Course · 1 - 3 Months
Imperial College London
Survival Analysis in R for Public Health
Skills you'll gain: Statistical Analysis, R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Modeling, Descriptive Statistics
4.5
Rating, 4.5 out of 5 stars
323 reviews
Intermediate · Course · 1 - 4 Weeks
The State University of New York
Big Data, Genes, and Medicine
Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Exploratory Data Analysis, Data Analysis, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Data Manipulation, Data Cleansing, Feature Engineering
4.3
Rating, 4.3 out of 5 stars
284 reviews
Advanced · Course · 1 - 3 Months
University of Minnesota
Introduction to Software Testing
Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Code Coverage, Software Quality Assurance, Functional Testing, Testability, Integration Testing, Test Data, Issue Tracking
4.4
Rating, 4.4 out of 5 stars
778 reviews
Intermediate · Course · 1 - 4 Weeks
The Hong Kong University of Science and Technology
Matrix Algebra for Engineers
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics
4.9
Rating, 4.9 out of 5 stars
4.5K reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Gut Check: Exploring Your Microbiome
Skills you'll gain: Bioinformatics, Epidemiology, Life Sciences, Big Data, Data Analysis, Medical Science and Research, Health Care, Anatomy, Infectious Diseases, Behavioral Health, Food and Beverage, Data Processing, General Science and Research, General Medicine
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 3 Months
IBM
Introduction to Relational Databases (RDBMS)
Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management, PostgreSQL, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Data Structures
4.6
Rating, 4.6 out of 5 stars
687 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Microsoft
Microsoft AI & ML Engineering
Skills you'll gain: Unsupervised Learning, Generative AI, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, Applied Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Test Case, OpenAI, Human Computer Interaction, Performance Testing, Application Deployment
4.6
Rating, 4.6 out of 5 stars
120 reviews
Intermediate · Professional Certificate · 3 - 6 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
664 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to Web Development with HTML, CSS, JavaScript
Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Development Tools, Cascading Style Sheets (CSS), Front-End Web Development, Web Design, Javascript, Interactive Design, Web Applications, Full-Stack Web Development, Back-End Web Development
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Beginner · Course · 1 - 3 Months