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: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
773 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Google
The Power of Statistics
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
4.8
Rating, 4.8 out of 5 stars
837 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Advanced Reproducibility in Cancer Informatics
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Advanced · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Colorado Boulder
High-Performance and Parallel Computing
Skills you'll gain: Bash (Scripting Language), Distributed Computing, Scalability, Software Architecture, Big Data, Operating Systems, Performance Tuning, File Systems, Cloud Development, Scripting, Command-Line Interface, C and C++, Linux, Data Sharing, OS Process Management, Communication Systems, Artificial Intelligence
3.7
Rating, 3.7 out of 5 stars
145 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
8.6K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
IBM
IBM RAG and Agentic AI
Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, Software Development
4.6
Rating, 4.6 out of 5 stars
272 reviews
Advanced · Professional Certificate · 3 - 6 Months

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Status: Free Trial
IBM
IBM AI Enterprise Workflow
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
4.4
Rating, 4.4 out of 5 stars
345 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
MLOps | Machine Learning Operations
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
4.2
Rating, 4.2 out of 5 stars
509 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Google
Google Business Intelligence
Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Data Integrity, Data Validation, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
4.9K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
University of Colorado Boulder
Parallel Computing with MPI
Skills you'll gain: C and C++, Data Sharing, Communication Systems
Advanced · Course · 1 - 3 Months
Status: Free Trial
Corporate Finance Institute
Practical Data Science for Data Analysts
Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Predictive Modeling, Applied Machine Learning, Statistical Modeling, Statistical Analysis, Predictive Analytics
4.8
Rating, 4.8 out of 5 stars
21 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
University of Toronto
Self-Driving Cars
Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Advanced · Specialization · 3 - 6 Months