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
Building R Packages
Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation
4.1
Rating, 4.1 out of 5 stars
223 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Tidyverse Skills for Data Science in R
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation
4.5
Rating, 4.5 out of 5 stars
104 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Minnesota
Software Testing and Automation
Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, Test Case, Testability, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing, Test Planning, Acceptance Testing, Test Tools
4.3
Rating, 4.3 out of 5 stars
949 reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Getting Started with Rstudio
Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
141 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Washington
Computational Neuroscience
Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Toronto
Introduction to Self-Driving Cars
Skills you'll gain: Control Systems, Embedded Software, Automation, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Verification And Validation, Mathematical Modeling, Engineering Analysis, Computer Hardware, Risk Management Framework, Mechanics
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
University of Minnesota
Agile Software Development
Skills you'll gain: User Story, Agile Software Development, Agile Methodology, Agile Project Management, Scrum (Software Development), Sprint Planning, Software Development Methodologies, Sprint Retrospectives, Backlogs, Continuous Integration, Test Driven Development (TDD)
4.7
Rating, 4.7 out of 5 stars
7.4K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development
4.7
Rating, 4.7 out of 5 stars
3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Kennesaw State University
Six Sigma Tools for Define and Measure
Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Data Validation, Process Mapping, Statistics, Stakeholder Management, Statistical Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
2.5K reviews
Beginner · Course · 1 - 4 Weeks
Yale University
Anatomy of the Chest, Neck, Abdomen, and Pelvis
Skills you'll gain: Cardiology, Anatomy, Obstetrics And Gynecology, Gynecology, Urology, Patient Positioning, Neurology, Pulmonology, Nephrology, Medical Terminology, Pathology, Radiology, General Medical Tests and Procedures, Surgery
4.8
Rating, 4.8 out of 5 stars
1.9K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Toronto
Plant Bioinformatic Methods
Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 3 Months