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 .

Best R Programming Courses Online with Certificates [2024]

Choose the R Programming Course That Aligns Best With Your Educational Goals

Johns Hopkins University
R Programming
Skills you'll gain: Computational Thinking, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Structures, Problem Solving, Programming Principles, R Programming, Statistical Programming, General Statistics
4.5 stars
(22K reviews)
Intermediate · Course · 1 - 4 Weeks
Google
Data Analysis with R Programming
Skills you'll gain: R Programming, Data Analysis, Computer Programming, Data Visualization, SQL
4.8 stars
(10K reviews)
Beginner · Course · 1 - 3 Months
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Computer Programming, Data Analysis, Data Analysis Software, Programming Principles, R Programming, Computer Programming Tools, Data Structures, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Data Science
4.5 stars
(450 reviews)
Beginner · Course · 1 - 3 Months
Duke University
Data Analysis with R
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Statistical Visualization, Bayesian Statistics, Exploratory Data Analysis, Plot (Graphics), Problem Solving, Critical Thinking, Correlation And Dependence, Regression, Bayesian Network, Computer Programming
4.7 stars
(7.3K reviews)
Beginner · Specialization · 3 - 6 Months
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Analysis, R Programming, Computer Programming, Data Visualization, Data Management, Statistical Programming, Databases, Plot (Graphics), Data Structures, Exploratory Data Analysis, Statistical Analysis, Data Analysis Software, Statistical Visualization, SQL, Basic Descriptive Statistics, Microsoft Excel, Extract, Transform, Load, General Statistics, Interactive Data Visualization, Visualization (Computer Graphics), Database Application, Spreadsheet Software, Database Design, Database Theory, Programming Principles, Database Administration, Computer Programming Tools, Correlation And Dependence, Data Mining, Data Visualization Software, Statistical Machine Learning, Visual Design, Business Analysis, Python Programming, Big Data, Data Science, NoSQL
Make progress toward a degree
4.7 stars
(24K reviews)
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Computer Programming, Computer Programming Tools, Data Management, Programming Principles, Data Structures, Statistical Analysis, Critical Thinking, Problem Solving, General Statistics, Process Analysis, Computational Thinking, Big Data, Data Mining, Data Visualization, Data Visualization Software, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics), User Experience
4.6 stars
(48K reviews)
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Getting Started with R
Skills you'll gain: Computer Programming, Data Analysis, Data Science, Data Structures, R Programming
4.3 stars
(357 reviews)
Beginner · Guided Project · Less Than 2 Hours
IBM
Data Analysis with R
Skills you'll gain: Data Analysis, Exploratory Data Analysis, R Programming, Computer Programming, General Statistics, Statistical Analysis, Statistical Programming, Basic Descriptive Statistics, Data Analysis Software, Statistical Visualization, Data Visualization, Data Science
4.7 stars
(285 reviews)
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Data Visualization & Dashboarding with R
Skills you'll gain: Data Visualization, R Programming, Statistical Programming, Data Analysis, Data Visualization Software, Computer Programming, Data Structures, Extract, Transform, Load, Programming Principles, Statistical Visualization
4.8 stars
(378 reviews)
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
The R Programming Environment
Skills you'll gain: R Programming, Statistical Programming, Data Analysis, Exploratory Data Analysis, Basic Descriptive Statistics, Computer Programming
4.3 stars
(1.2K reviews)
Intermediate · Course · 1 - 3 Months
IBM
Data Visualization with R
Skills you'll gain: Data Analysis, Data Visualization, Interactive Data Visualization, Plot (Graphics), R Programming, Statistical Visualization, Visualization (Computer Graphics), Computer Programming, Visual Design, Statistical Programming, Data Science
4.6 stars
(219 reviews)
Beginner · Course · 1 - 4 Weeks
IBM
Applied Data Science with R
Skills you'll gain: Data Analysis, R Programming, Computer Programming, Statistical Programming, Data Management, Data Visualization, Databases, Exploratory Data Analysis, Statistical Analysis, Data Analysis Software, Data Structures, Plot (Graphics), Statistical Visualization, Basic Descriptive Statistics, Interactive Data Visualization, SQL, Database Application, Extract, Transform, Load, General Statistics, Visualization (Computer Graphics), Programming Principles, Database Administration, Database Design, Database Theory, Computer Programming Tools, Correlation And Dependence, Statistical Machine Learning, Visual Design, Data Science
4.5 stars
(967 reviews)
Beginner · Specialization · 3 - 6 Months