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

Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado System
Computer Communications
Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Security, Network Planning And Design, Network Architecture, General Networking, Network Performance Management, Computer Networking, Wireless Networks, Software-Defined Networking, Algorithms, System Programming, Data Integrity, Virtualization
4.6
Rating, 4.6 out of 5 stars
3.3K reviews
Intermediate · Specialization · 3 - 6 Months
Google Cloud
Google Cloud Digital Leader Training
Skills you'll gain: Cloud Management, Serverless Computing, Google Cloud Platform, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Cloud Infrastructure, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Real Time Data, Business Transformation, Data Management, Hybrid Cloud Computing, Data Warehousing, Artificial Intelligence, Cloud Computing, Data Security
4.8
Rating, 4.8 out of 5 stars
4.5K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
JavaScript Programming with React, Node & MongoDB
Skills you'll gain: Node.JS, MongoDB, React Redux, NoSQL, Restful API, React.js, Back-End Web Development, Front-End Web Development, JavaScript Frameworks, Ajax, Server Side, Javascript, UI Components, Application Deployment, Data Structures, Authentications, Debugging, Full-Stack Web Development, JSON, Scripting
4.4
Rating, 4.4 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
University of Toronto
Plant Bioinformatic Methods
Skills you'll gain: Bioinformatics, Network Analysis, Data Mining, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Synthesis, Big Data, Data Visualization Software, Technical Communication, Scientific Visualization, Life Sciences, Science and Research, Taxonomy, Databases, Data Collection
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
Packt
R Ultimate 2023 - R for Data Science and Machine Learning
Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Programming Principles, Applied Machine Learning, Image Analysis, Artificial Intelligence, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling
Beginner · Specialization · 3 - 6 Months
University of Michigan
Python Classes and Inheritance
Skills you'll gain: Object Oriented Programming (OOP), JSON, Unit Testing, Python Programming, Maintainability, Software Design Patterns, Software Testing, Data Structures
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Data Collection and Processing with Python
Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
4.7
Rating, 4.7 out of 5 stars
4K reviews
Intermediate · Course · 1 - 4 Weeks
University of Washington
Machine Learning Foundations: A Case Study Approach
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining
4.6
Rating, 4.6 out of 5 stars
14K reviews
Mixed · Course · 1 - 3 Months
Coursera Project Network
Importing Data into R
Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel
4.6
Rating, 4.6 out of 5 stars
18 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
HTML, CSS, and Javascript for Web Developers
Skills you'll gain: HTML and CSS, Javascript, Responsive Web Design, Ajax, Front-End Web Development, Web Design, Web Applications, Hypertext Markup Language (HTML), Browser Compatibility, Web Development, Cascading Style Sheets (CSS), Usability, Cross Platform Development, Server Side
4.7
Rating, 4.7 out of 5 stars
17K reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Foundations of Data Structures and Algorithms
Skills you'll gain: Algorithms, Data Structures, Graph Theory, Operations Research, Theoretical Computer Science, Public Key Cryptography Standards (PKCS), Computational Thinking, Cryptography, Computer Science, Programming Principles, Mathematical Software, Encryption, Network Model, Linear Algebra, Combinatorics, Advanced Mathematics, Analysis, Mathematical Modeling, Design Strategies, Big Data
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
760 reviews
Advanced · Specialization · 3 - 6 Months