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

University of Michigan
Fundamentals of Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Survey Creation, Tidyverse (R Package), Data Analysis, Statistical Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Sampling (Statistics), Data Manipulation
4.7
Rating, 4.7 out of 5 stars
40 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Stanford University
Cryptography I
Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Mathematical Software, Algorithms
4.8
Rating, 4.8 out of 5 stars
4.4K reviews
Mixed · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Accelerated Computer Science Fundamentals
Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Computer Programming, Software Engineering, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Computational Thinking
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free
Pontificia Universidad Católica de Chile
Introducción a la programación en Python I: Aprendiendo a programar con Python
Skills you'll gain: Python Programming, Data Structures, Computer Programming, Program Development, Scripting, Scripting Languages, Algorithms, File Management
4.4
Rating, 4.4 out of 5 stars
4.8K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Mathematical Modeling, Data Modeling, Applied Mathematics, Predictive Modeling, Statistics
4.4
Rating, 4.4 out of 5 stars
761 reviews
Advanced · Specialization · 3 - 6 Months
Rice University
Introduction to Scripting in Python
Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Processing, Data Manipulation, Software Installation, Development Environment, Computational Logic, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Scripting Languages, Data Integration, Data Analysis, Computer Programming
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Object Oriented Java Programming: Data Structures and Beyond
Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Network Analysis, Object Oriented Programming (OOP), Technical Communication, Development Testing, User Interface (UI), Peer Review, Interviewing Skills, Software Testing, Computer Programming, Adaptability, Performance Tuning, Algorithms
4.7
Rating, 4.7 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
University of California San Diego
Introduction to Discrete Mathematics for Computer Science
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Mathematical Theory & Analysis, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Computer Programming, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
3.6K reviews
Beginner · Specialization · 3 - 6 Months
University of Alberta
Software Product Management
Skills you'll gain: Requirements Analysis, Agile Software Development, Agile Methodology, Kanban Principles, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Project Risk Management, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Risk Management, Software Development, Product Management, Agile Project Management, User Story
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Software Engineering
Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Web Development, Cloud Development, Integrated Development Environments, Application Development, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Storytelling, Data Analysis, Statistical Analysis, Unsupervised Learning, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
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, Data Visualization, Statistical Visualization, 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
103 reviews
Beginner · Specialization · 3 - 6 Months