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 Pennsylvania
Finance & Quantitative Modeling for Analysts
Skills you'll gain: Return On Investment, Financial Reporting, Capital Budgeting, Financial Statements, Financial Modeling, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Business Mathematics, Financial Planning, Corporate Finance, Predictive Analytics, Spreadsheet Software, Google Sheets, Microsoft Excel
4.5
Rating, 4.5 out of 5 stars
17K reviews
Beginner · Specialization · 3 - 6 Months
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Exploratory Data Analysis, Statistical Hypothesis Testing, Ggplot2, Data Manipulation, Data Science, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Data Transformation, Integrated Development Environments
Intermediate · Course · 1 - 3 Months
Status: Free
University of California San Diego
Biology Meets Programming: Bioinformatics for Beginners
Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures
4.2
Rating, 4.2 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
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, Tidyverse (R Package), Data Visualization Software, Data Wrangling, Data Cleansing, Statistical Programming, Data Transformation, Data Structures, Scripting Languages, Scripting, Development Environment
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Computer Science, Programming Principles, Advanced Mathematics, Design Strategies, Linear Algebra, Mathematical Theory & Analysis, Analysis
4.6
Rating, 4.6 out of 5 stars
220 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free
Ball State University
Introduction to Programming
Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
Coding for Everyone: C and C++
Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Programming Principles, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Graph Theory, Artificial Intelligence, Software Technical Review, File Systems, Game Design
4.5
Rating, 4.5 out of 5 stars
9.4K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM DevOps and Software Engineering
Skills you'll gain: User Story, CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Linux Commands, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Bash (Scripting Language), Agile Software Development, Git (Version Control System), DevOps, Jupyter, Grafana
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
59K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: AI skills
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), Data Store, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Data Modeling, Programming Principles, Data Structures, Data Collection, Data Visualization Software, Data Manipulation, Computer Programming, Python Programming, Data Import/Export, Software Installation
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
Status: AI skills
IBM
IBM Full Stack Software Developer
Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Kubernetes, Unit Testing, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Cloud Services, Django (Web Framework), Cloud-Native Computing, Object-Relational Mapping, Git (Version Control System), Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Large Language Modeling, Interviewing Skills
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
55K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
IBM AI Developer
Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Software Development Tools, Web Development, Application Deployment, Automation, Interviewing Skills, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
68K reviews
Beginner · Professional Certificate · 3 - 6 Months