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

Peking University
计算导论与C语言基础
Skills you'll gain: C (Programming Language), Programming Principles, Computer Science, Computer Architecture, Theoretical Computer Science, Computer Programming, Computational Logic, Data Structures, Algorithms
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Mixed · Course · 3 - 6 Months
University of Colorado Boulder
Algorithms for Battery Management Systems
Skills you'll gain: Electrical Safety, Simulations, Thermal Management, Basic Electrical Systems, Estimation, Power Electronics, Mathematical Modeling, Electrical Engineering, Manufacturing and Production, Failure Mode And Effects Analysis, Electronic Components, High Voltage, Manufacturing Processes, Simulation and Simulation Software, Matlab, Electronic Systems, Safety Assurance, Failure Analysis, Applied Mathematics, Verification And Validation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
2.5K reviews
Intermediate · Specialization · 3 - 6 Months
IBM
IBM Mainframe Developer
Skills you'll gain: Software Development Life Cycle, Unit Testing, Systems Analysis, IBM DB2, Systems Development, Debugging, Pseudocode, Virtualization, Agile Methodology, Software Development, Test Driven Development (TDD), Program Development, Programming Principles, Report Writing, Relational Databases, Software Testing, Technical Support, Software Development Methodologies, IBM Cloud, Editing
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: [object Object]
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
1.3K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google Cloud
Building Scalable Java Microservices with Spring Boot and Spring Cloud
Skills you'll gain: Microservices, Application Deployment, Google Cloud Platform, Google App Engine, Cloud Applications, Spring Framework, Spring Boot, Kubernetes, Java, Software Architecture, Data Migration, Cloud Services, Application Performance Management, Databases, Cloud Storage
4.3
Rating, 4.3 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
Google
Google Data Analytics (PT)
Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Tableau Software, Data Visualization Software, Data Analysis, Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, SQL, Dashboard, Data Quality, Data Collection, Data Processing
4.9
Rating, 4.9 out of 5 stars
4K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Web Application Technologies and Django
Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Hypertext Markup Language (HTML), Application Deployment, Web Applications, Back-End Web Development, 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
The Hong Kong University of Science and Technology
Developing Android Apps with App Inventor
Skills you'll gain: Android Development, User Interface (UI), User Interface and User Experience (UI/UX) Design, Mobile Development, Interactive Design, Application Development, Data Storage, Program Development, Global Positioning Systems, Programming Principles, Computer Programming, Event-Driven Programming, Computer Graphics
4.4
Rating, 4.4 out of 5 stars
495 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Building Data Visualization Tools
Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Datamaps, Interactive Data Visualization, Scatter Plots, Statistical Visualization, Histogram, Graphic and Visual Design, R Programming, Spatial Data Analysis
3.9
Rating, 3.9 out of 5 stars
158 reviews
Intermediate · Course · 1 - 3 Months
Dartmouth College
C Programming: Language Foundations - 2
Skills you'll gain: C (Programming Language), Programming Principles, Embedded Systems, Program Development, Computer Engineering, Algorithms, Data Structures, Computer Programming, Debugging, Computational Thinking
4.7
Rating, 4.7 out of 5 stars
90 reviews
Beginner · Course · 1 - 3 Months
Rice University
Principles of Computing (Part 1)
Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Probability & Statistics, Computer Programming, Object Oriented Programming (OOP), Development Testing, Engineering Software, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Theory, Mathematical Theory & Analysis, Simulations
4.7
Rating, 4.7 out of 5 stars
582 reviews
Intermediate · Course · 1 - 3 Months
Universidad Austral
Introducción a la programación con Python
Skills you'll gain: Debugging, Programming Principles, Software Installation, Python Programming, Development Environment, Integrated Development Environments, Scripting Languages, Program Development, Scripting, Computer Programming
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks