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

DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, Machine Learning Algorithms, NumPy, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
838 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Analysis with Tidyverse
Skills you'll gain: Tidyverse (R Package), Data Import/Export, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Data Visualization Software, Data Integration
4.1
Rating, 4.1 out of 5 stars
11 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data Visualization Capstone
Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Storytelling, Data Manipulation, Data Presentation, Ggplot2, Statistical Reporting, Data Wrangling, Dashboard, Data Analysis, Data Cleansing, Exploratory Data Analysis, R Programming, Tidyverse (R Package), Data Import/Export, Rmarkdown
5
Rating, 5 out of 5 stars
33 reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Introduction to Machine Learning
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Intermediate · Course · 1 - 3 Months
Status: New
DeepLearning.AI
AI Python for Beginners
Skills you'll gain: Artificial Intelligence, Jupyter, Python Programming, Data Analysis, OpenAI, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API), Development Environment, Debugging
4.8
Rating, 4.8 out of 5 stars
86 reviews
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Inference, Data Analysis, Quantitative Research, Probability & Statistics, Regression Analysis, Research Design, Graph Theory
4.7
Rating, 4.7 out of 5 stars
564 reviews
Intermediate · Course · 1 - 3 Months
Berklee
Electronic Music Production
Skills you'll gain: File Management, Media Production, Creativity, Live Streaming, Peer Review, Electronic Media, Creative Design, Multimedia, Automation, Performance Testing, Patch Management, Software Installation, Computer Programming, Editing, System Configuration
4.8
Rating, 4.8 out of 5 stars
2.3K reviews
Intermediate · Specialization · 3 - 6 Months
University of California San Diego
Bioinformatics
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Data Analysis, Markov Model, Life Sciences, Infectious Diseases, Statistical Analysis, Big Data, Computational Logic, Machine Learning, Medical Science and Research, Machine Learning Methods, Computational Thinking, Graph Theory, Analysis, Taxonomy, Tree Maps, Scientific Methods, Algorithms
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 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
Duke University
Java Programming: Arrays, Lists, and Structured Data
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Java, Cryptography, Computer Programming, Algorithms, Encryption, Web Analytics and SEO, Web Servers, File Management, Software Development
4.6
Rating, 4.6 out of 5 stars
3.2K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Bioconductor for Genomic Data Science
Skills you'll gain: Bioinformatics, Big Data, R Programming, Statistical Programming, Data Analysis, Data Manipulation, Data Structures, Software Installation, Data Access
3.8
Rating, 3.8 out of 5 stars
382 reviews
Mixed · Course · 1 - 4 Weeks
Coursera Project Network
Introduction to Python
Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computer Programming, Application Development, Scientific Visualization
4.5
Rating, 4.5 out of 5 stars
2.2K reviews
Beginner · Guided Project · Less Than 2 Hours