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

Meta
Programming with JavaScript
Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Object Oriented Programming (OOP), Event-Driven Programming, Node.JS, JSON, Computer Programming, Data Structures, Development Testing, Debugging, Package and Software Management, Front-End Web Development, Functional Design
4.7
Rating, 4.7 out of 5 stars
4.7K reviews
Beginner · 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, Engineering Analysis, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
LearnQuest
Introduction to Java
Skills you'll gain: Eclipse (Software), Java, Java Programming, Integrated Development Environments, Development Environment, Software Installation, Computer Programming, Program Development, Object Oriented Programming (OOP), Debugging
4.6
Rating, 4.6 out of 5 stars
2.1K reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM Back-End Development
Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Linux Commands, Kubernetes, Unit Testing, Object-Relational Mapping, Application Deployment, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, OpenShift, Git (Version Control System), GitHub, Secure Coding, Django (Web Framework), Development Environment, Jupyter, Automation
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Professional Certificate · 3 - 6 Months
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, Software Design, Application Security, System Programming, Python Programming, API Design, Computer Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools
4.5
Rating, 4.5 out of 5 stars
148 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
University of California San Diego
Biology Meets Programming: Bioinformatics for Beginners
Skills you'll gain: Bioinformatics, Programming Principles, Computational Thinking, Analysis
4.2
Rating, 4.2 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
Meta
Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 3 Months
IBM
Data Engineering Foundations
Skills you'll gain: SQL, Web Scraping, Data Transformation, Extract, Transform, Load, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Relational Databases, Data Storage Technologies, Apache Hadoop, Databases, Data Manipulation, Stored Procedure, Database Management, Database Design, Automation, Python Programming
4.6
Rating, 4.6 out of 5 stars
56K reviews
Beginner · Specialization · 3 - 6 Months
SAS
Getting Started with SAS Programming
Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months
Status: New
IBM
IBM Relational Database Administrator
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Administration, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, Data Architecture, Jupyter, Generative AI, Relational Databases, Database Design, Automation
4.6
Rating, 4.6 out of 5 stars
57K reviews
Intermediate · Professional Certificate · 3 - 6 Months
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Data Visualization Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
C for Everyone: Programming Fundamentals
4.5
Rating, 4.5 out of 5 stars
6.6K reviews
Beginner · Course · 1 - 3 Months