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

Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Duke University
Financial Risk Management with R
Skills you'll gain: Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, Financial Data, R Programming, Portfolio Management, Financial Analysis, Time Series Analysis and Forecasting, Statistical Analysis, Statistical Modeling
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
247 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Python for Data Science, AI & Development
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
4.6
Rating, 4.6 out of 5 stars
40K reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Introduction to Business Analytics with R
Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Wrangling, Data Transformation, Business Intelligence, Data Manipulation, R Programming, Business Process, Business Process Automation, Exploratory Data Analysis, Data Visualization, Data Analysis, Data-Driven Decision-Making, Descriptive Statistics
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
283 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
R Programming and Tidyverse Capstone Project
Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Analysis, Statistical Reporting, Data Visualization Software, Data Science, Data Manipulation, Data Wrangling, Data Integration
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Probability, Data Manipulation, Statistical Inference
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Predictive Analytics for Business with H2O in R
Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment
4.9
Rating, 4.9 out of 5 stars
52 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Getting Started with Rstudio
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
139 reviews
Beginner · Guided Project · Less Than 2 Hours
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
University of Michigan
Python 3 Programming
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Unit Testing, Data Import/Export, Restful API, Python Programming, Image Analysis, Data Manipulation, Jupyter, Data Structures, Software Engineering, Application Programming Interface (API), Computer Programming, File Management, Functional Design
4.8
Rating, 4.8 out of 5 stars
22K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Tidyverse Skills for Data Science in R
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Statistical Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation
4.5
Rating, 4.5 out of 5 stars
102 reviews
Beginner · Specialization · 3 - 6 Months
Codio
Data Analysis in R with RStudio & Tidyverse
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Statistical Analysis, R Programming, Exploratory Data Analysis, Data Wrangling, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months