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 Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Visualization, Statistical Analysis, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
4.4
Rating, 4.4 out of 5 stars
186 reviews
Intermediate · Course · 1 - 3 Months
University of Toronto
State Estimation and Localization for Self-Driving Cars
Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Mathematical Modeling, Applied Mathematics, Linear Algebra, Python Programming, Real Time Data, Physics
4.7
Rating, 4.7 out of 5 stars
835 reviews
Advanced · Course · 1 - 3 Months
Rice University
Concurrent Programming in Java
Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, OS Process Management, Computer Programming, Object Oriented Programming (OOP), Debugging, Operating Systems, Algorithms
4.5
Rating, 4.5 out of 5 stars
662 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Hands-on Internet of Things
Skills you'll gain: Internet Of Things, Networking Hardware, Network Infrastructure, Network Routers, General Networking, Network Switches, Network Protocols, Network Architecture, Wireless Networks, Network Administration, Infrastructure Security, Local Area Networks, Computer Networking, Emerging Technologies, Data Science, Embedded Systems, Network Planning And Design, Network Security, Distributed Computing, Digital Communications
4.7
Rating, 4.7 out of 5 stars
581 reviews
Intermediate · Specialization · 3 - 6 Months
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
416 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Python Programming
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
Meta
Desarrollador back-end de Meta
Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Unix Commands, Git (Version Control System), GitHub, Database Design, Responsive Web Design, Web Design and Development, Database Management Systems, Front-End Web Development, Algorithms, MySQL, Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development
4.8
Rating, 4.8 out of 5 stars
448 reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
The Power of Object-Oriented Programming
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Program Development, Python Programming
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Accounting Data Analytics
Skills you'll gain: Machine Learning Algorithms, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Data Visualization, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Statistical Visualization, Analytics, Accounting and Finance Software, Analytical Skills
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
560 reviews
Intermediate · Specialization · 3 - 6 Months
University of California, Irvine
Concurrency in Go
Skills you'll gain: Go (Programming Language), Algorithms, OS Process Management, Distributed Computing, System Programming, Computer Programming, Operating Systems
4.7
Rating, 4.7 out of 5 stars
762 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Pohang University of Science and Technology(POSTECH)
Introduction and Programming with IoT Boards
Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Networking Hardware, Embedded Software, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, System Programming, Computer Programming Tools, Integrated Development Environments, Python Programming
4.6
Rating, 4.6 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 3 Months
IBM
IBM AI Enterprise Workflow
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Data Storytelling, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Artificial Neural Networks, Data Integration, Data Science
4.3
Rating, 4.3 out of 5 stars
319 reviews
Advanced · Specialization · 3 - 6 Months