R Programming courses can help you learn data manipulation, statistical analysis, and data visualization techniques. You can build skills in creating reproducible reports, implementing machine learning algorithms, and performing exploratory data analysis. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support visualizing data and streamlining data processing tasks.

Johns Hopkins University
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
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Databases, Data Warehousing, Database Systems, Data Pipelines, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

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
Advanced · Course · 1 - 3 Months

Duke University
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
Advanced · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Salesforce, Salesforce Development, Systems Integration, Customer Relationship Management, Customer Relationship Management (CRM) Software, Data Integration, Contract Management, Responsible AI, Web Services, Business Reporting, Data Ethics, Artificial Intelligence, Application Programming Interface (API), Artificial Intelligence and Machine Learning (AI/ML), Security Controls, Customer Data Management, Analytics, Restful API, Sales Process, Data Security
Advanced · Specialization · 1 - 4 Weeks

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 Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Application Lifecycle Management, Azure DevOps, CI/CD, DevSecOps, Continuous Delivery, GitLab, Continuous Integration, DevOps, Data Validation, Data Quality, Test Automation, Workflow Management, Extract, Transform, Load, Test Case, Enterprise Architecture, Governance, Data Pipelines, Scalability, SQL
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Application Deployment, Integration Testing, Continuous Deployment, Microservices, System Testing, Software Versioning, Continuous Integration, Software Testing, Development Testing, Test Automation, Application Programming Interface (API), CI/CD, Verification And Validation
Advanced · Course · 1 - 4 Weeks

AI CERTs
Skills you'll gain: Blockchain, Microservices, Enterprise Architecture, Go (Programming Language), Program Development, Business Logic, Application Programming Interface (API), Containerization, Auditing, Application Development, Development Environment, Security Controls, Cryptography, Debugging
Advanced · Course · 1 - 3 Months

Skills you'll gain: Git (Version Control System), GitHub, Version Control, Infrastructure as Code (IaC), Debugging, Cloud Management, Bash (Scripting Language), Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Cloud Services, Technical Communication, Unit Testing, Web Services, Email Automation, Automation, Python Programming, Interviewing Skills, Configuration Management, Professional Development, Scripting
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Real-Time Operating Systems, Embedded Software, Embedded Systems, Telecommunications, Performance Tuning, System Programming, Electronics Engineering, Debugging, Electronic Systems, C (Programming Language), Real Time Data, Power Electronics, Software Architecture
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Web Services, Data Mapping, Simple Object Access Protocol (SOAP), Restful API, Application Development, Cloud Applications, Application Programming Interface (API), Microservices, System Monitoring, Application Performance Management, Data Integration, Enterprise Application Management, Software Architecture, Business Process Automation, Maintainability, Scalability, Debugging, Application Security, Role-Based Access Control (RBAC)
Advanced · Course · 1 - 4 Weeks
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.
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.
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.
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.
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.
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.