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
Fractal Analytics
Generative AI Essentials: A Comprehensive Introduction
Skills you'll gain: Generative AI, ChatGPT, Prompt Engineering, Interactive Learning, AI Personalization, Artificial Intelligence, Data Ethics, Automation
4
Rating, 4 out of 5 stars
30 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Embedded Interface Design
Skills you'll gain: User Research, User Experience Design, User Experience, User Interface and User Experience (UI/UX) Design, Usability, Verification And Validation, UI/UX Research, Persona (User Experience), Usability Testing, User Centered Design, Internet Of Things, API Design, User Interface (UI), Amazon Web Services, Cloud Computing Architecture, Embedded Systems, Human Computer Interaction, Application Programming Interface (API), Prototyping, Network Protocols
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
142 reviews
Intermediate · Specialization · 3 - 6 Months
École Polytechnique Fédérale de Lausanne
Analyse numérique pour ingénieurs
Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Algorithms, Derivatives
4.5
Rating, 4.5 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
Packt
Clustering and Classification with Machine Learning in R
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation, Regression Analysis
Beginner · Course · 1 - 3 Months
Status: Free Trial
Northeastern University
Information Systems Foundations
Skills you'll gain: Systems Thinking, Software Visualization, Object Oriented Design, Object Oriented Programming (OOP), Engineering Software, Web Applications, Software Development Life Cycle, Risk Management, Web Development, Software Design, Data Modeling, Software Engineering, Unified Modeling Language, Business Architecture, Python Programming, Business Process Modeling, Application Development, Computer Programming, Development Environment, Software Installation
2.3
Rating, 2.3 out of 5 stars
11 reviews
Beginner · Specialization · 3 - 6 Months
University of London
Magna Carta and its Legacies: Freedom and protest
Skills you'll gain: Public History, World History, European History, Policy Analysis, Political Sciences, International Relations, Social Justice, Legal Research
4.6
Rating, 4.6 out of 5 stars
60 reviews
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Нейронные сети и глубокое обучение
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Network Architecture, NumPy
3.9
Rating, 3.9 out of 5 stars
13 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Introduction to Javascript and Ajax: Building Web Apps
Skills you'll gain: Javascript, Ajax, JSON, Web Applications, Web Development, Scripting, Object Oriented Programming (OOP), Event-Driven Programming, Web Services, Prototyping, Network Protocols
4.7
Rating, 4.7 out of 5 stars
37 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Back-end Application Development Capstone Project
Skills you'll gain: NoSQL, MongoDB, Flask (Web Framework), Application Deployment, IBM Cloud, Databases, Back-End Web Development, Database Systems, Django (Web Framework), Cloud Development, OpenShift, Cloud Applications, Microservices, Kubernetes, Web Applications, Containerization, Application Development, Web Services, Restful API, Scalability
5
Rating, 5 out of 5 stars
36 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Microsoft
Introduction to Web Development
Skills you'll gain: GitHub, HTML and CSS, Git (Version Control System), Microsoft Copilot, Web Development, Web Content Accessibility Guidelines, Responsive Web Design, Javascript, Front-End Web Development, JSON, Semantic Web
3.4
Rating, 3.4 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
Status: New
Maven Analytics
ChatGPT & Generative AI for Data Analytics
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Machine Learning Methods, Large Language Modeling, Microsoft Excel, Artificial Intelligence, Python Programming, SQL, Debugging
4.8
Rating, 4.8 out of 5 stars
10 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Interventions and Calibration
Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, R Programming, Differential Equations, Statistical Methods, Public Health
4.7
Rating, 4.7 out of 5 stars
56 reviews
Intermediate · Course · 1 - 4 Weeks