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
Introduction to HTML5
Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cloud Hosting, Web Servers, Data Validation
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks
California Institute of the Arts
Game Design: Art and Concepts
Skills you'll gain: Prototyping, Conceptual Design, Storytelling, Software Design Documents, Ideation, Visualization (Computer Graphics), Design, Virtual Environment, Technical Design, Computer Graphics, Storyboarding, Usability Testing, User Story, Graphic and Visual Design, Multimedia, Mockups, Content Creation, Aesthetics, Design Research, Experience Design
4.7
Rating, 4.7 out of 5 stars
4.1K reviews
Beginner · Specialization · 3 - 6 Months
University of Alberta
Software Product Management
Skills you'll gain: Requirements Analysis, Agile Software Development, Agile Methodology, Kanban Principles, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Project Risk Management, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Code Review, Software Development, Product Management, User Story, Backlogs
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Excel to MySQL: Analytic Techniques for Business
Skills you'll gain: Data Storytelling, Database Design, Dashboard, MySQL, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Data Visualization, Business Process Improvement, Business Intelligence, Financial Modeling, Interactive Data Visualization, Microsoft Excel, Business Process, Probability Distribution, Business Risk Management, Predictive Modeling
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
EDHEC Business School
Investment Management with Python and Machine Learning
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Investments, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Financial Management, Machine Learning, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Risk Analysis, Python Programming, Financial Modeling
4.6
Rating, 4.6 out of 5 stars
1.8K reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Mathematical Modeling, Forecasting, Data Modeling, Quantitative Research, Machine Learning, Linear Algebra
Build toward a degree
4.1
Rating, 4.1 out of 5 stars
52 reviews
Intermediate · Specialization · 3 - 6 Months
University of Pennsylvania
Computational Thinking for Problem Solving
Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Analytical Skills, Computer Science, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Computer Architecture, Debugging
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 4 Weeks
Meta
Introduction to Front-End Development
Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), Hypertext Markup Language (HTML), Web Design and Development, Web Development, Web Applications, Cascading Style Sheets (CSS), React.js, Javascript
4.8
Rating, 4.8 out of 5 stars
13K reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free
National Taiwan University
用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1))
Skills you'll gain: Information Systems, Information Management, Data Structures, Transportation Operations, Production Planning, Production Schedule, Operations Management, Business Operations, Inventory Control, Logistics, Algorithms, Computer Programming, Python Programming, Decision Making
4.9
Rating, 4.9 out of 5 stars
888 reviews
Beginner · Course · 1 - 3 Months
Status: AI skills
Meta
Meta Data Analyst
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Professional Certificate · 3 - 6 Months
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistics
4.2
Rating, 4.2 out of 5 stars
12 reviews
Intermediate · Guided Project · Less Than 2 Hours