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 Colorado Boulder
Linux System Programming and Introduction to Buildroot
Skills you'll gain: Embedded Software, Embedded Systems, System Programming, Linux, Linux Commands, File Systems, Shell Script, Debugging, OS Process Management, Build Tools, C and C++, Cross Platform Development
4.3
Rating, 4.3 out of 5 stars
131 reviews
Advanced · Course · 1 - 4 Weeks
Johns Hopkins University
Mathematical Biostatistics Boot Camp 1
Skills you'll gain: Sampling (Statistics), Probability & Statistics, Statistical Inference, Statistical Methods, Probability, Probability Distribution, Data Analysis, Statistical Analysis, Biostatistics
4.4
Rating, 4.4 out of 5 stars
514 reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Python, Bash and SQL Essentials for Data Engineering
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Software Development Tools
4.5
Rating, 4.5 out of 5 stars
427 reviews
Beginner · Specialization · 3 - 6 Months
University of Toronto
State Estimation and Localization for Self-Driving Cars
Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Mathematical Modeling, Applied Mathematics, Linear Algebra, Python Programming, Real Time Data, Physics
4.7
Rating, 4.7 out of 5 stars
835 reviews
Advanced · Course · 1 - 3 Months
IBM
Supervised Machine Learning: Regression
Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Feature Engineering, Data Processing, Pandas (Python Package), Data Manipulation, Performance Metric
4.7
Rating, 4.7 out of 5 stars
729 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Modernize Infrastructure and Applications with Google Cloud
Skills you'll gain: Serverless Computing, Digital Transformation, Application Programming Interface (API), Business Transformation, Hybrid Cloud Computing, Cloud Infrastructure, Google Cloud Platform, Containerization, Cloud Computing Architecture, Multi-Cloud, Technology Strategies, Cloud Computing, Cloud Applications, Kubernetes, Virtual Machines
4.7
Rating, 4.7 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
LearnQuest
Oracle SQL Databases
Skills you'll gain: Oracle SQL Developer, SQL, Oracle Databases, PL/SQL, Database Design, Database Theory, Database Management Systems, Database Administration, Relational Databases, Database Management, Databases, Database Architecture and Administration, Database Development, Data Storage, Query Languages, Transaction Processing, Stored Procedure, Data Access, Data Modeling, Network Architecture
4.6
Rating, 4.6 out of 5 stars
845 reviews
Beginner · Specialization · 3 - 6 Months
Dartmouth College
C Programming: Using Linux Tools and Libraries - 7
Skills you'll gain: C (Programming Language), Linux, Embedded Systems, System Programming, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Software Development, File Systems, Computer Programming
4.7
Rating, 4.7 out of 5 stars
27 reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
Functions, Methods, and Interfaces in Go
Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Data Structures, Software Design, Programming Principles
4.6
Rating, 4.6 out of 5 stars
1K reviews
Intermediate · Course · 1 - 4 Weeks
Vanderbilt University
Android App Development
Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Maintainability, Software Design Patterns, Test Automation, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Development Testing, Software Testing, Testability, Software Engineering, Secure Coding, Java, Application Security, Test Case
4.5
Rating, 4.5 out of 5 stars
3.7K reviews
Beginner · Specialization · 3 - 6 Months
Rice University
Concurrent Programming in Java
Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, OS Process Management, Computer Programming, Object Oriented Programming (OOP), Debugging, Operating Systems, Algorithms
4.5
Rating, 4.5 out of 5 stars
662 reviews
Intermediate · Course · 1 - 3 Months
Status: New
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Probability, Data Manipulation, Statistical Inference
Intermediate · Course · 1 - 3 Months