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 Toronto
Introduction to Self-Driving Cars
Skills you'll gain: Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Systems Architecture, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Safety and Security
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Advanced · Course · 1 - 3 Months
University of Alberta
Software Processes and Agile Practices
Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Waterfall Methodology
4.7
Rating, 4.7 out of 5 stars
5.3K reviews
Mixed · Course · 1 - 4 Weeks
DeepLearning.AI
Natural Language Processing with Probabilistic Models
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence, Artificial Neural Networks, Data Processing, Deep Learning, Algorithms, Computer Programming, Unstructured Data, Machine Learning, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 4 Weeks
LearnQuest
Learning Linux for LFCA Certification
Skills you'll gain: Package and Software Management, Linux Administration, Linux, Linux Commands, Virtual Private Networks (VPN), Linux Servers, System Monitoring, Public Key Infrastructure, File Management, Command-Line Interface, Intrusion Detection and Prevention, Git (Version Control System), File Systems, User Accounts, Firewall, Remote Access Systems, Cloud Computing Architecture, DevOps, Virtualization, Cloud Computing
4.5
Rating, 4.5 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Exploratory Data Analysis for Machine Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Probability & Statistics, Jupyter, Big Data, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Data Presentation, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Intermediate · Course · 1 - 3 Months
University of London
Introduction to Computer Science and Programming
Skills you'll gain: Computer Science, Computer Systems, Development Environment, Web Applications, Debugging, Graphing, Program Development, Computer Networking, Computational Thinking, Computer Programming Tools, Usability, Arithmetic, Applied Mathematics, Mathematical Modeling, Cybersecurity, Software Development Tools, Visualization (Computer Graphics), Computer Programming, Computer Graphics, Numerical Analysis
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Developing Mobile Apps with React Native
Skills you'll gain: React Native, Flutter (Software), Mobile Development, React Redux, React.js, Front-End Web Development, JavaScript Frameworks, Ajax, Cross Platform Development, Javascript, Apple iOS, UI Components, Data Structures, Application Development, Back-End Web Development, Debugging, iOS Development, User Story, Full-Stack Web Development, Web Applications
4.4
Rating, 4.4 out of 5 stars
792 reviews
Beginner · Specialization · 3 - 6 Months
Google Cloud
Essential Google Cloud Infrastructure: Core Services
Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Cloud Computing, Cloud Storage, Data Storage, Cloud Security, System Monitoring, Encryption, SQL
4.7
Rating, 4.7 out of 5 stars
11K reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development
4.7
Rating, 4.7 out of 5 stars
3K reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Introduction to Genomic Technologies
Skills you'll gain: Bioinformatics, Data Science, Science and Research, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Life Sciences, Big Data, Biostatistics, Statistical Methods, Software Engineering, Algorithms
4.6
Rating, 4.6 out of 5 stars
4.7K reviews
Mixed · Course · 1 - 4 Weeks
Genentech
Hands On Clinical Reporting Using R
Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Data Presentation, Pharmaceuticals, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Processing, Data Manipulation, Data Transformation, Data Integration
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
University of London
Foundations of Data Science: K-Means Clustering in Python
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Scatter Plots, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
716 reviews
Beginner · Course · 1 - 3 Months