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

Status: Free Trial
University of Toronto
Bioinformatic Methods II
Skills you'll gain: Bioinformatics, Molecular Biology, Network Analysis, Data Analysis, Big Data, Data Visualization Software, Scientific Visualization, Structural Analysis
4.7
Rating, 4.7 out of 5 stars
486 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Meta
Desarrollador de Meta de IOS
Skills you'll gain: React Native, User Research, UI/UX Research, Persona (User Experience), Apple iOS, Restful API, Core Data (Software), Design Research, Version Control, Swift Programming, User Experience Design, Unix Commands, User Interface (UI), User Interface and User Experience (UI/UX) Design, Interaction Design, Git (Version Control System), Apple Xcode, Algorithms, Jest (JavaScript Testing Framework), Mobile Development
4.6
Rating, 4.6 out of 5 stars
162 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Precalculus: Relations and Functions
Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus
4.7
Rating, 4.7 out of 5 stars
214 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Introduction to Python Fundamentals
Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Structures
4.8
Rating, 4.8 out of 5 stars
207 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Python and Pandas for Data Engineering
Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment
4.6
Rating, 4.6 out of 5 stars
242 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Cisco Learning and Certifications
Network Automation Engineering Fundamentals
Skills you'll gain: Ansible, Development Environment, Postman API Platform, Restful API, Authentications, YAML, Software Development Tools, Software Development Methodologies, Software-Defined Networking, CI/CD, DevOps, IT Automation, Network Engineering, Network Architecture, Network Administration, Application Programming Interface (API), Scripting, JSON, Network Protocols, Network Routing
4.7
Rating, 4.7 out of 5 stars
130 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Machine Learning Capstone
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks
4.6
Rating, 4.6 out of 5 stars
137 reviews
Advanced · Course · 1 - 3 Months
University of Minnesota
Matrix Methods
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming
4.1
Rating, 4.1 out of 5 stars
243 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Genome Assembly Programming Challenge
Skills you'll gain: Bioinformatics, Graph Theory, Epidemiology, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms
4.5
Rating, 4.5 out of 5 stars
346 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free
Princeton University
Computer Science: Algorithms, Theory, and Machines
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware
4.7
Rating, 4.7 out of 5 stars
701 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Codio
Intro to Operating Systems 1: Virtualization
Skills you'll gain: OS Process Management, Operating Systems, C (Programming Language), System Programming, Virtualization, Virtual Machines, Programming Principles, Application Programming Interface (API)
4.6
Rating, 4.6 out of 5 stars
157 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Basic System Programming on IBM Z
Skills you'll gain: Job Control Language (JCL), z/OS, Unix, IBM DB2, Mainframe Computing, System Programming, Operating Systems, Data Management, File Systems, System Configuration, Transaction Processing
4.8
Rating, 4.8 out of 5 stars
359 reviews
Intermediate · Course · 1 - 4 Weeks