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

DeepLearning.AI
Neural Networks and Deep Learning
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
4.9
Rating, 4.9 out of 5 stars
123K reviews
Intermediate · Course · 1 - 4 Weeks
University of Pennsylvania
Introduction to Python Programming
Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Scripting Languages, Integrated Development Environments, Data Import/Export, File Management
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
University of California, Santa Cruz
Coding for Everyone: C and C++
Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Software Design Patterns, Programming Principles, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Software Design, Graph Theory, Computer Science, Program Development, Computational Thinking, Artificial Intelligence, Software Technical Review, File Management
4.5
Rating, 4.5 out of 5 stars
9.3K reviews
Beginner · Specialization · 3 - 6 Months
Meta
Programming in Python
Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 3 Months
Google
Google AI Essentials
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving
4.7
Rating, 4.7 out of 5 stars
9.4K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Storytelling, Data Analysis, Statistical Analysis, Unsupervised Learning, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
University of California San Diego
Data Structures and Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Debugging, Network Model, Bioinformatics, Advanced Mathematics, Operations Research, Data Storage, Development Testing, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Epidemiology, C++ (Programming Language), Infectious Diseases
4.6
Rating, 4.6 out of 5 stars
17K reviews
Intermediate · Specialization · 3 - 6 Months
Fundação Instituto de Administração
Ferramentas para Ciência de Dados: Introdução ao R
Skills you'll gain: Ggplot2, Data Visualization Software, Plot (Graphics), R Programming, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Programming, Integrated Development Environments, Development Environment, Data Import/Export, Software Installation
2.1
Rating, 2.1 out of 5 stars
7 reviews
Beginner · Course
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Object Oriented Java Programming: Data Structures and Beyond
Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Network Analysis, Object Oriented Programming (OOP), Technical Communication, Development Testing, User Interface (UI), Peer Review, Interviewing Skills, Software Testing, Computer Programming, Adaptability, Performance Tuning, Algorithms
4.7
Rating, 4.7 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
ESSEC Business School
Strategic Business Analytics
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Advanced Analytics, Statistical Analysis, Communication, Market Research, Complex Problem Solving, Analytics, Business Analysis, Data Analysis, Value Propositions
4.4
Rating, 4.4 out of 5 stars
1.3K reviews
Advanced · Specialization · 3 - 6 Months
Status: Free
Princeton University
Computer Science: Programming with a Purpose
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Program Development, Computational Thinking, Computer Science, Algorithms, Debugging
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 3 Months