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

Johns Hopkins University
Publishing Visualizations in R with Shiny and flexdashboard
Skills you'll gain: Shiny (R Package), Data Visualization, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, UI Components, User Interface (UI), Application Deployment
4.9
Rating, 4.9 out of 5 stars
69 reviews
Mixed · Course · 1 - 4 Weeks
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
17 reviews
Beginner · Guided Project · Less Than 2 Hours
Duke University
Programming Foundations with JavaScript, HTML and CSS
Skills you'll gain: Hypertext Markup Language (HTML), Web Design and Development, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Applications, Front-End Web Development, Computer Programming, Image Analysis, Debugging
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Course · 1 - 3 Months
Duke University
Introductory C Programming
Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Development Environment, Development Testing, User Interface (UI), Interactive Design
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Importing Data into R
Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel
4.6
Rating, 4.6 out of 5 stars
17 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Importing Data in the Tidyverse
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)
4.7
Rating, 4.7 out of 5 stars
47 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software
4.9
Rating, 4.9 out of 5 stars
125 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
97K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, R Programming, Automation, Computer Programming Tools, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
70K reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Transforming Data in R
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality
4.5
Rating, 4.5 out of 5 stars
23 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Building R Packages
Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Development Testing, Technical Documentation
4.1
Rating, 4.1 out of 5 stars
223 reviews
Intermediate · Course · 1 - 4 Weeks
Dartmouth College
C Programming with Linux
Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Embedded Systems, Programming Principles, Computer Engineering, Embedded Software, Linux, File Systems, Engineering Software, Build Tools, Data Structures, Unix, Program Development, Algorithms, Operating Systems, System Programming, Computer Programming, Software Installation, Software Documentation
4.6
Rating, 4.6 out of 5 stars
387 reviews
Beginner · Specialization · 3 - 6 Months