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

Coursera Project Network
Introduction to R: Basic R syntax
Skills you'll gain: R Programming, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
46 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Supervised Machine Learning: Regression
Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric
4.7
Rating, 4.7 out of 5 stars
740 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
MathWorks
MathWorks Computer Vision Engineer
Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Data Visualization, Automation, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Spatial Data Analysis, Predictive Modeling, Visualization (Computer Graphics), Data Synthesis
4.7
Rating, 4.7 out of 5 stars
303 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Cloudera
Modern Big Data Analysis with SQL
Skills you'll gain: Database Design, SQL, Apache Hive, Relational Databases, Databases, Database Management, Big Data, Database Systems, MySQL, Data Management, Query Languages, Amazon S3, Apache Hadoop, Data Storage, Operational Databases, Cloud Storage, Performance Tuning, PostgreSQL, Data Manipulation, Virtual Machines
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of California San Diego
Introduction to Graph Theory
Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Network Routing, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development
4.5
Rating, 4.5 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Introduction to HTML
Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Google Cloud
Modernize Infrastructure and Applications with Google Cloud
Skills you'll gain: Serverless Computing, Application Programming Interface (API), Hybrid Cloud Computing, Cloud Infrastructure, Google Cloud Platform, Containerization, Cloud-Native Computing, Multi-Cloud, Cloud Computing, Kubernetes, Microservices, Application Development, Virtual Machines
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Meta
Introduction to Android Mobile Application Development
Skills you'll gain: Android Studio, Android Development, Android (Operating System), Mobile Development, Gradle, Application Development, Integrated Development Environments, Development Environment, Virtual Environment, Extensible Markup Language (XML), UI Components
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Codio
Data Science and Analysis Tools - from Jupyter to R Markdown
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization
3.9
Rating, 3.9 out of 5 stars
22 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Relational Databases (RDBMS)
Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface
4.6
Rating, 4.6 out of 5 stars
704 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Developing Back-End Apps with Node.js and Express
Skills you'll gain: Node.JS, Server Side, Restful API, Back-End Web Development, JavaScript Frameworks, Cloud Applications, Web Applications, Application Programming Interface (API), Web Servers, Javascript, Authentications, Package and Software Management, JSON, Middleware
4.5
Rating, 4.5 out of 5 stars
529 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad de los Andes
Programación en Python
Skills you'll gain: Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting
4.5
Rating, 4.5 out of 5 stars
194 reviews
Beginner · Course · 1 - 4 Weeks