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

Status: Free Trial
University of California, Davis
JavaScript for Beginners
Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, Web Development Tools, JavaScript Frameworks, Web Applications, Web Design and Development, Event-Driven Programming, Game Design, Application Programming Interface (API), Object Oriented Programming (OOP), Animations, Programming Principles
4.7
Rating, 4.7 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Reproducible Research
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, R Programming, Verification And Validation, Technical Documentation
4.6
Rating, 4.6 out of 5 stars
4.2K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Kennesaw State University
Six Sigma Advanced Define and Measure Phases
Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
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, Financial Modeling, Portfolio Management, Statistical Programming, Financial Analysis, Securities (Finance), Time Series Analysis and Forecasting, Probability & Statistics, Statistical Modeling
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
248 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Data Presentation, Web Scraping, Google Sheets, Data Visualization, Spreadsheet Software, Large Language Modeling, Dashboard, Tableau Software, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Visualization Software, Data Validation, Data Processing
4.7
Rating, 4.7 out of 5 stars
90 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics Capstone
Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data-Driven Decision-Making, Predictive Modeling, Machine Learning Methods, Interviewing Skills, Portfolio Management
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
University of California San Diego
Finding Hidden Messages in DNA (Bioinformatics I)
Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics
4.3
Rating, 4.3 out of 5 stars
1K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Python Classes and Inheritance
Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Maintainability, Debugging, Software Testing, Data Structures
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Web Application Technologies and Django
Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Application Deployment, Application Frameworks, Web Applications, Web Servers, SQL, Databases, Network Protocols, Python Programming
4.7
Rating, 4.7 out of 5 stars
1.9K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Algorithms on Graphs
Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Pseudocode, Network Model
4.7
Rating, 4.7 out of 5 stars
2.3K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Wesleyan University
Data Analysis and Interpretation
Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Decision Tree Learning, Data Manipulation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Minnesota
Software Development Processes and Methodologies
Skills you'll gain: Software Development Methodologies, Agile Methodology, Software Engineering, Software Development Life Cycle, Requirements Analysis, Application Deployment, Agile Software Development, Systems Development, Software Architecture, Verification And Validation, Process Driven Development, Waterfall Methodology, System Requirements, Software Testing, Scrum (Software Development), Release Management, User Requirements Documents, Development Testing, Software Design, Maintainability
4.7
Rating, 4.7 out of 5 stars
2.1K reviews
Beginner · Course · 1 - 4 Weeks