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
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
Vanderbilt University
Introduction to Programming with MATLAB
Skills you'll gain: Matlab, Computer Programming, Programming Principles, Debugging, Mathematical Software, Data Manipulation, Computer Science, Algorithms, Data Import/Export, Data Structures, Linear Algebra, Engineering Calculations, Graphing
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
University of Cape Town
Julia Scientific Programming
Skills you'll gain: Box Plots, Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Data Import/Export, Computer Programming, Mathematical Modeling, Package and Software Management
4.4
Rating, 4.4 out of 5 stars
431 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Programming Fundamentals
Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Development Testing, Debugging
4.7
Rating, 4.7 out of 5 stars
6.9K reviews
Beginner · Course · 1 - 4 Weeks
Status: [object Object]
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
57K reviews
Beginner · Professional Certificate · 3 - 6 Months
Duke University
Java Programming and Software Engineering Fundamentals
Skills you'll gain: Object Oriented Programming (OOP), Java, Hypertext Markup Language (HTML), Software Design, Data Structures, Debugging, Web Design and Development, Software Engineering, Cryptography, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Encryption, Algorithms, Program Development, Web Applications, Front-End Web Development, Statistical Analysis, Computer Programming
4.6
Rating, 4.6 out of 5 stars
22K reviews
Beginner · Specialization · 3 - 6 Months
SAS
Doing More with SAS Programming
Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation, Debugging
4.8
Rating, 4.8 out of 5 stars
937 reviews
Intermediate · Course · 1 - 3 Months
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Application Development, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
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
Google
Google IT Automation with Python
Skills you'll gain: Git (Version Control System), GitHub, Version Control, Puppet (Configuration Management Tool), CI/CD, Containerization, Debugging, Bash (Scripting Language), Infrastructure as Code (IaC), Docker (Software), Continuous Deployment, Continuous Integration, Technical Communication, Network Troubleshooting, Linux Commands, Linux, Scripting, Automation, Python Programming, Computer Programming
4.7
Rating, 4.7 out of 5 stars
47K reviews
Beginner · Professional Certificate · 3 - 6 Months
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
111K reviews
Beginner · Specialization · 3 - 6 Months
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