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 California, Irvine
The Arduino Platform and C Programming
Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Integrated Development Environments, Program Development, Development Environment, Computer Hardware, Computer Programming, Digital Communications, Open Source Technology
4.7
Rating, 4.7 out of 5 stars
7.1K reviews
Mixed · Course · 1 - 4 Weeks
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
Vanderbilt University
MATLAB Programming for Engineers and Scientists
Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Engineering Analysis, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Object Oriented Programming in Java
Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), User Interface (UI), Computer Programming, Algorithms, Graphical Tools, Software Engineering, Data Structures, Programming Principles, Software Documentation, Development Environment, Debugging
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Intermediate · Course · 1 - 3 Months
IBM
Data Engineering Foundations
Skills you'll gain: SQL, Web Scraping, Data Transformation, Extract, Transform, Load, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Relational Databases, Data Storage Technologies, Apache Hadoop, Databases, Data Manipulation, Stored Procedure, Database Management, Database Design, Automation, Python Programming
4.6
Rating, 4.6 out of 5 stars
56K reviews
Beginner · Specialization · 3 - 6 Months
Dartmouth College
C Programming: Getting Started - 1
Skills you'll gain: C (Programming Language), Software Documentation, Programming Principles, Computer Programming, Embedded Software, Debugging
4.6
Rating, 4.6 out of 5 stars
247 reviews
Beginner · Course · 1 - 3 Months
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Relational Databases, Statistical Hypothesis Testing, Web Scraping, Databases, Stored Procedure, Automation, Software Development Tools, Data Science, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Programming Foundations with JavaScript, HTML and CSS
Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Front-End Web Development, Computer Programming, Image Analysis, Debugging
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Course · 1 - 3 Months
Dartmouth College
C Programming with Linux
Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Embedded Systems, Programming Principles, Computer Engineering, Embedded Software, Linux, File Systems, Engineering Software, Build Tools, Data Structures, Unix, Program Development, Algorithms, Operating Systems, System Programming, Computer Programming, Software Installation, Software Documentation
4.6
Rating, 4.6 out of 5 stars
396 reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Programming Fundamentals
Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Development Testing, Debugging
4.7
Rating, 4.7 out of 5 stars
6.9K reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Data Manipulation, Object Oriented Programming (OOP), Data Analysis, Development Environment
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
C Programming for Everybody
Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Secure Coding, Algorithms, Software Design, Application Security, System Programming, Python Programming, API Design, Computer Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools
4.5
Rating, 4.5 out of 5 stars
148 reviews
Intermediate · Specialization · 3 - 6 Months