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

Rice University
An Introduction to Interactive Programming in Python (Part 2)
Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, Program Development, Python Programming, Computer Programming, Computer Graphics, Data Structures
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado System
Computational Thinking with Beginning C Programming
Skills you'll gain: Computational Thinking, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Data Presentation, Automation, Application Development, Program Development, Data Structures, Computational Logic, Programming Principles, Data Processing, Algorithms, Computer Programming, Statistics, Descriptive Statistics, Problem Management, File Management
4.6
Rating, 4.6 out of 5 stars
430 reviews
Beginner · Specialization · 3 - 6 Months
University of Minnesota
Software Development Lifecycle
Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Requirements Analysis, Application Deployment, Lean Methodologies, Lean Manufacturing
4.7
Rating, 4.7 out of 5 stars
9.6K reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Python for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Technical Communication, Programming Principles, Scripting Languages, Scripting, Package and Software Management, Computer Programming, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 4 Weeks
Coursera Project Network
Using Descriptive Statistics to Analyze Data in R
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Data Processing, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
91 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Colorado System
Clinical Data Science
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Data Warehousing, Natural Language Processing, Predictive Analytics, Bioinformatics, Text Mining, Data Science
4.5
Rating, 4.5 out of 5 stars
467 reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Introduction to Python
Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computer Programming, Application Development, Scientific Visualization
4.5
Rating, 4.5 out of 5 stars
2.1K reviews
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
C Programming for Everybody
Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Secure Coding, Algorithms, Computer Programming, Software Design, Application Security, System Programming, Python Programming, Maintainability, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools, Debugging
4.5
Rating, 4.5 out of 5 stars
133 reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Applied Machine Learning in Python
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
4.6
Rating, 4.6 out of 5 stars
8.5K reviews
Intermediate · Course · 1 - 4 Weeks
LearnQuest
Introduction to Programming in Swift 5
Skills you'll gain: Model View Controller, Swift Programming, iOS Development, Data Structures, Object Oriented Programming (OOP), Programming Principles, Apple Xcode, Computer Programming
4.3
Rating, 4.3 out of 5 stars
729 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Introduction to CSS3
Skills you'll gain: Cascading Style Sheets (CSS), Web Content Accessibility Guidelines, HTML and CSS, Web Design, Responsive Web Design, User Interface (UI), Usability, Front-End Web Development, Web Development Tools, Typography, Debugging
4.8
Rating, 4.8 out of 5 stars
9.6K reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Everyday Excel, Part 1
Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Management, Excel Macros, Data Cleansing, Excel Formulas, Data Validation, Microsoft Word, Visual Basic (Programming Language), Microsoft PowerPoint
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months