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

IBM
DevOps, Cloud, and Agile Foundations
Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, Workflow Management, CI/CD, Test Driven Development (TDD), Scrum (Software Development)
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Specialization · 3 - 6 Months
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
4.3
Rating, 4.3 out of 5 stars
174 reviews
Beginner · Course · 1 - 3 Months
Status: New
Vanderbilt University
Generative AI Data Analyst
Skills you'll gain: Data Storytelling, ChatGPT, Microsoft Excel, Document Management, Data Analysis, SQL, Presentations, Generative AI, Artificial Intelligence, Data Cleansing, Data Import/Export, Query Languages, Data Integration, Data Transformation, Database Management, Data Validation, Debugging, Productivity Software, Creative Thinking, Creativity
4.8
Rating, 4.8 out of 5 stars
6.1K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Using Python to Access Web Data
Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Processing, TCP/IP, Python Programming, Scripting, Hypertext Markup Language (HTML), Data Manipulation, Data Structures
4.8
Rating, 4.8 out of 5 stars
44K reviews
Beginner · Course · 1 - 3 Months
Status: New
University of California, Santa Cruz
C and Go: Classical and Modern Programming
Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Computer Science, Software Testing, File Systems, Computational Thinking, Integration Testing, System Programming, File Management
4.5
Rating, 4.5 out of 5 stars
7.1K reviews
Intermediate · Specialization · 3 - 6 Months
University of California, Irvine
An Introduction to Programming the Internet of Things (IOT)
Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, Development Testing, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments
4.7
Rating, 4.7 out of 5 stars
20K reviews
Beginner · Specialization · 3 - 6 Months
Stanford University
Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Intermediate · Specialization · 3 - 6 Months
IBM
Generative AI for Data Analysts
Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Data Processing, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Image Analysis, Technical Communication
4.7
Rating, 4.7 out of 5 stars
6.2K reviews
Intermediate · Specialization · 1 - 3 Months
Status: New
IBM
Generative AI for Mobile App Developers
Skills you'll gain: ChatGPT, Generative AI, Mobile Development, OpenAI, CI/CD, Software Development, Apple iOS, Software Development Life Cycle, DevSecOps, Data Ethics, Application Development, Natural Language Processing, Cloud Development, Prototyping, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, IBM Cloud, Software Development Tools, Image Analysis
4.7
Rating, 4.7 out of 5 stars
6.2K reviews
Advanced · Specialization · 1 - 3 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Financial Risk Management with R
Skills you'll gain: Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, Financial Data, R Programming, Portfolio Management, Financial Analysis, Time Series Analysis and Forecasting, Statistical Analysis, Statistical Modeling
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
248 reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Interaction Design
Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, A/B Testing, Usability Testing, Human Centered Design, User Centered Design, Mockups, Design, Human Computer Interaction, Human Factors, Telecommuting, Technology Strategies
4.5
Rating, 4.5 out of 5 stars
4K reviews
Intermediate · Specialization · 3 - 6 Months