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
Data Collection and Processing with Python
Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
4.7
Rating, 4.7 out of 5 stars
4K reviews
Intermediate · Course · 1 - 4 Weeks
Google
Design a User Experience for Social Good & Prepare for Jobs
Skills you'll gain: User Experience Design, Persona (User Experience), UI/UX Research, User Centered Design, Design Thinking, Professional Development, Usability, Interviewing Skills, Cross Platform Development, Artificial Intelligence, Responsive Web Design, Web Applications, Mobile Development, Prototyping, Communication, Business Planning
4.9
Rating, 4.9 out of 5 stars
4.5K reviews
Beginner · Course · 1 - 4 Weeks
IBM
JavaScript Programming with React, Node & MongoDB
Skills you'll gain: Node.JS, MongoDB, React Redux, NoSQL, Restful API, React.js, Back-End Web Development, Front-End Web Development, JavaScript Frameworks, Ajax, Server Side, Javascript, UI Components, Application Deployment, Data Structures, Authentications, Debugging, Full-Stack Web Development, JSON, Web Development
4.4
Rating, 4.4 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Data Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Data Manipulation, Statistical Hypothesis Testing
4.8
Rating, 4.8 out of 5 stars
363 reviews
Intermediate · Course · 1 - 4 Weeks
Kennesaw State University
Six Sigma Green Belt
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Process Analysis, Operational Excellence, Quality Management, Lean Manufacturing, Process Flow Diagrams, Statistical Analysis, Process Mapping
4.7
Rating, 4.7 out of 5 stars
4.5K reviews
Intermediate · Specialization · 3 - 6 Months
University of Colorado Boulder
Everyday Excel, Part 1
Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Management, Excel Macros, Data Cleansing, Excel Formulas, Data Validation, Data Integrity, Microsoft Word, Visual Basic (Programming Language), Microsoft PowerPoint
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Mathematical Thinking in Computer Science
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Mathematical Theory & Analysis, Combinatorics, Algorithms, Python Programming, Computer Programming, Computer Science, Advanced Mathematics
4.4
Rating, 4.4 out of 5 stars
2.3K reviews
Beginner · Course · 1 - 3 Months
Rice University
Parallel, Concurrent, and Distributed Programming in Java
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Object Oriented Programming (OOP), Application Frameworks, OS Process Management, Computer Programming, Algorithms, Debugging, Computer Science, Operating Systems
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Intermediate · Specialization · 3 - 6 Months
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Deep Learning, Mathematical Theory & Analysis, Python Programming, Derivatives
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Berklee
Songwriting: Writing, Arranging, and Producing Music
Skills you'll gain: File Management, Peer Review, Storytelling, Media Production, Multimedia, Automation, Content Creation, Software Installation, Creativity, Writing, Computer Programming
4.8
Rating, 4.8 out of 5 stars
2.1K reviews
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development
4.7
Rating, 4.7 out of 5 stars
3K reviews
Intermediate · Course · 1 - 4 Weeks