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
771 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
828 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, Containerization, Bioinformatics, Health Informatics, Science and Research, Automation, Medical Science and Research, Data Analysis, Technical Communication, R Programming
Advanced · Course · 1 - 3 Months
Status: New
Status: Free Trial
IBM
IBM RAG and Agentic AI
Skills you'll gain: Prompt Engineering, Agentic systems, Generative AI, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Software Design, Data Governance, ChatGPT, User Interface (UI), Application Development, Large Language Modeling, Semantic Web, Database Systems, Business Process Automation, Databases, Data Storage Technologies, NoSQL, Full-Stack Web Development, Software Development
4.6
Rating, 4.6 out of 5 stars
171 reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
University of Michigan
More Applied Data Science with Python
Skills you'll gain: Unsupervised Learning, Data Mining, ChatGPT, Applied Machine Learning, Anomaly Detection, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Data Pipelines, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Approximation Algorithms and Linear Programming
Skills you'll gain: Operations Research, Algorithms, Graph Theory, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
47 reviews
Advanced · Course · 1 - 4 Weeks

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Status: New
Status: Free Trial
Board Infinity
ABAP RESTful Programming Model (RAP) and Extensions
Skills you'll gain: SAP Applications, Business Logic, Application Deployment, Unit Testing, Restful API, Application Development, Software Architecture, Enterprise Application Management, Data Modeling, Back-End Web Development, User Interface (UI), Data Validation
Advanced · Course · 1 - 4 Weeks
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, Data Science, Tableau Software, 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
8.1K reviews
Advanced · Professional Certificate · 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, Stakeholder Communications, Data Pipelines, Interactive Data Visualization, Data Integrity, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, Business Analysis, Professional Development, Data Analysis, SQL
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
4.5K reviews
Advanced · Professional Certificate · 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, Data Ethics, Application Deployment, 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
495 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Computer Science, Programming Principles, Python Programming, Advanced Mathematics, Design Strategies, Mathematical Theory & Analysis, Analysis
4.6
Rating, 4.6 out of 5 stars
223 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus
4.6
Rating, 4.6 out of 5 stars
102 reviews
Advanced · Course · 1 - 4 Weeks