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
Introduction to Software, Programming, and Databases
Skills you'll gain: Computing Platforms, Software Development Life Cycle, Application Development, Programming Principles, Databases, Database Management, Web Applications, Software Installation, Browser Compatibility, Cloud Computing, Information Technology, Software Versioning, Computer Programming
4.8
Rating, 4.8 out of 5 stars
372 reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
Concurrency in Go
Skills you'll gain: Go (Programming Language), Algorithms, OS Process Management, Distributed Computing, System Programming, Computer Programming, Operating Systems
4.7
Rating, 4.7 out of 5 stars
752 reviews
Intermediate · Course · 1 - 4 Weeks
University of Toronto
State Estimation and Localization for Self-Driving Cars
Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Mathematical Modeling, Applied Mathematics, Linear Algebra, Python Programming, Real Time Data, Physics
4.7
Rating, 4.7 out of 5 stars
832 reviews
Advanced · Course · 1 - 3 Months
EDUCBA
Embedded Software Development with C
Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Computer Programming Tools, Development Environment, System Programming, Program Development, Hardware Architecture, Systems Architecture, Data Structures, Microarchitecture, Performance Tuning, Computer Architecture, C++ (Programming Language), Data Storage, Computational Logic, Computer Programming
4.4
Rating, 4.4 out of 5 stars
106 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Coursera Project Network
Tidymodels in R: Building tidy machine learning models
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Data Visualization Software, Exploratory Data Analysis, Data Manipulation, Predictive Modeling, R Programming, Data Cleansing, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning
Intermediate · Guided Project · Less Than 2 Hours
University of California, Davis
Principles of Secure Coding
Skills you'll gain: Secure Coding, Application Security, Software Design, Programming Principles, Debugging, Program Development, C (Programming Language), Software Development Methodologies
4.4
Rating, 4.4 out of 5 stars
365 reviews
Intermediate · Course · 1 - 4 Weeks
California Institute of the Arts
Introduction to Game Design
Skills you'll gain: Storytelling, Conceptual Design, Ideation, User Story, Storyboarding, Content Creation, Design, Experience Design, Creativity, Interaction Design
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Beginner · Course · 1 - 4 Weeks
University of Washington
Machine Learning: Regression
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
4.8
Rating, 4.8 out of 5 stars
5.6K reviews
Mixed · Course · 1 - 3 Months
University of Toronto
Introduction To Swift Programming
Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Image Analysis, Debugging
3.9
Rating, 3.9 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 3 Months
Google
Configuration Management and the Cloud
Skills you'll gain: Puppet (Configuration Management Tool), CI/CD, Containerization, Infrastructure as Code (IaC), Docker (Software), Continuous Deployment, Continuous Integration, Kubernetes, Cloud Computing, DevOps, Infrastructure As A Service (IaaS), Cloud Services, Configuration Management, Continuous Monitoring, Scalability, Virtual Machines, Public Key Infrastructure, Automation, Regression Testing
4.7
Rating, 4.7 out of 5 stars
2.6K reviews
Beginner · Course · 1 - 4 Weeks
University of Alberta
Sample-based Learning Methods
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods, Probability Distribution
4.8
Rating, 4.8 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
University of California, Irvine
Foundations of Objective-C App Development
Skills you'll gain: Objective-C (Programming Language), iOS Development, Apple iOS, Prototyping, Mobile Development, Application Development, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Data Structures
4.6
Rating, 4.6 out of 5 stars
557 reviews
Mixed · Course · 1 - 4 Weeks