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

Johns Hopkins University
Getting Started with Data Visualization in R
Skills you'll gain: Rmarkdown, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Data Manipulation, Scatter Plots, Data Wrangling, Histogram, Software Installation
4.8
Rating, 4.8 out of 5 stars
289 reviews
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Introduction to Corporate Finance
Skills you'll gain: Return On Investment, Capital Budgeting, Financial Modeling, Financial Analysis, Financial Planning, Corporate Finance, Business Valuation, Financial Management, Asset Management, Cash Flows, Risk Analysis, Cash Flow Forecasting, Working Capital
4.6
Rating, 4.6 out of 5 stars
6.2K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Building R Packages
Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation
4.1
Rating, 4.1 out of 5 stars
223 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Python Project for Data Science
Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
4.5
Rating, 4.5 out of 5 stars
4.6K reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Introduction to HTML5
Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, Web Development Tools
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks
University of Toronto
Self-Driving Cars
Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Advanced · Specialization · 3 - 6 Months
University of Alberta
Software Design and Architecture
Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Software Systems, Object Oriented Programming (OOP), Java
4.6
Rating, 4.6 out of 5 stars
3.9K reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Big Data
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Data Management, NoSQL, Database Management Systems, Network Analysis
4.5
Rating, 4.5 out of 5 stars
14K reviews
Beginner · Specialization · 3 - 6 Months
Amazon Web Services
AWS Cloud Technical Essentials
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Cloud Security, Serverless Computing, Cloud Storage, Databases, Virtual Private Networks (VPN), Load Balancing, General Networking, Containerization
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Introduction to Software Engineering
Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Development Tools, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Cloud Development, Integrated Development Environments, Back-End Web Development, Front-End Web Development, Python Programming
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Beginner · Course · 1 - 3 Months
Kennesaw State University
Six Sigma Yellow Belt
Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Process Optimization, Lean Six Sigma, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process
4.7
Rating, 4.7 out of 5 stars
3.9K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling
4.4
Rating, 4.4 out of 5 stars
4.5K reviews
Intermediate · Course · 1 - 4 Weeks