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
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
The R Programming Environment
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Application Programming Interface (API)
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Visualization, Data Science, Visualization (Computer Graphics), Data Processing, Graphing, Data Import/Export, Scripting, Software Installation
4.7
Rating, 4.7 out of 5 stars
8.5K reviews
Beginner · Course · 1 - 3 Months
Status: Free
The University of Edinburgh
Code Yourself! An Introduction to Programming
Skills you'll gain: Software Engineering, Program Development, Software Development, Programming Principles, Event-Driven Programming, Computer Programming, Debugging, Computational Thinking, Storyboarding, Algorithms, User Interface (UI) Design
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months
Packt
Foundations of R Programming and Basic Data Manipulation
Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Data Manipulation, Data Visualization, Web Scraping, Ggplot2, Plotly, Programming Principles, Data Visualization Software, Data Wrangling, Data Cleansing, Statistical Programming, Data Transformation, Data Structures, Scripting Languages, Scripting, Development Environment, Leaflet (Software)
Beginner · Course · 1 - 3 Months
Status: Free
University of Toronto
Learn to Program: The Fundamentals
Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Integrated Development Environments, Algorithms, Data Structures, Development Environment, File Management
4.7
Rating, 4.7 out of 5 stars
6.7K reviews
Beginner · Course · 1 - 3 Months
University of Pennsylvania
Finance & Quantitative Modeling for Analysts
Skills you'll gain: Return On Investment, Financial Reporting, Finance, Financial Data, Capital Budgeting, Financial Statements, Financial Modeling, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Business Mathematics, Spreadsheet Software, Risk Modeling, Google Sheets, Excel Formulas
4.5
Rating, 4.5 out of 5 stars
17K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Washington
Programming Languages, Part A
Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Software Design
4.9
Rating, 4.9 out of 5 stars
1.9K reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Python 3 Programming
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Program Development, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Maintainability, Data Structures, Software Engineering, File Management, Functional Design
4.8
Rating, 4.8 out of 5 stars
23K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), ChatGPT, System Monitoring, MLOps (Machine Learning Operations), Data Structures
3.9
Rating, 3.9 out of 5 stars
186 reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
R Programming and Tidyverse Capstone Project
Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Analysis, Statistical Reporting, Data Visualization Software, Data Science, Data Manipulation, Data Wrangling, Data Integration
Beginner · Course · 1 - 4 Weeks
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Exploratory Data Analysis, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Statistical Programming, Descriptive Statistics, Data Manipulation, Statistical Methods, Data Science, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Statistical Modeling, Data Processing, Data Import/Export
Intermediate · Course · 1 - 3 Months