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
Linear Regression and Modeling
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks
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
Google
Prepare Data for Exploration
Skills you'll gain: Data Ethics, Data Analysis, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Integrity, Data Management, Data Collection, Data Manipulation, Relational Databases, SQL, Metadata Management, Unstructured Data
4.8
Rating, 4.8 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Extract, Transform, Load, IBM DB2, Data Management, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
16K reviews
Beginner · Professional Certificate · 3 - 6 Months
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 Analysis, Data Science, Probability Distribution, Mathematical Modeling, Data Modeling, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
754 reviews
Advanced · Specialization · 3 - 6 Months
Vanderbilt University
AI Agents and Agentic AI in Python: Powered by Generative AI
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Artificial Intelligence, Business Process Automation, Automation, Strategic Thinking, Python Programming, Creative Thinking, Business Intelligence, Value Propositions, Workflow Management, Software Design, Emerging Technologies, Creative Problem-Solving, Innovation, Business Strategy, Natural Language Processing, Action Oriented
4.8
Rating, 4.8 out of 5 stars
5.1K reviews
Beginner · Specialization · 3 - 6 Months
University of Pennsylvania
Introduction to Programming with Python and Java
Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Java Programming, Eclipse (Software), Data Structures, Data Science, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Integrated Development Environments, Programming Principles, Python Programming, Computer Programming, Computational Thinking
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
ESSEC Business School
Foundations of strategic business analytics
Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, Communication, Business Strategy, Business, Business Intelligence, Data Analysis, Data Mining, Data Visualization, Regression Analysis
4.4
Rating, 4.4 out of 5 stars
654 reviews
Mixed · Course · 1 - 3 Months
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Transformation, Data Manipulation, Data Science
4.6
Rating, 4.6 out of 5 stars
2.6K reviews
Intermediate · Specialization · 1 - 3 Months
Johns Hopkins University
Importing Data in the Tidyverse
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)
4.7
Rating, 4.7 out of 5 stars
47 reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Machine Learning Algorithms with R in Business Analytics
Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Supervised Learning
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
38 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Developing Data Products
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months