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.

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.

Top R Programming Courses - Learn R Programming Online

Browse
R Programming

R Courses

R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

Popular R Courses and Certifications

Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics
4.4
Rating, 4.4 out of 5 stars
783 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
Google
Google Business Intelligence
Skills you'll gain: Data Modeling, Database Design, Stakeholder Engagement, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Stakeholder Communications, Data Pipelines, Business Reporting, Data Mart, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6.5K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
10K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
Packt
Building Medieval Worlds - Unreal Engine 5 Modular Kitbash
Skills you'll gain: Unreal Engine, 3D Assets, Augmented and Virtual Reality (AR/VR), Virtual Environment, Game Design, Video Game Development, Computer Graphics, 3D Modeling, Animation and Game Design, User Interface (UI), Architectural Design, Visualization (Computer Graphics), Building Design, Performance Tuning
Advanced · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Coursera
Salesforce Starter Kit
Skills you'll gain: Salesforce, Salesforce Development, Systems Integration, Customer Relationship Management, Customer Relationship Management (CRM) Software, Data Integration, Contract Management, AI Enablement, Responsible AI, Web Services, Business Reporting, Data Ethics, Integration Testing, Artificial Intelligence, Application Programming Interface (API), Software Design Patterns, Security Controls, Customer Data Management, Analytics, Data Security
Advanced · Specialization · 1 - 4 Weeks
Status: Free Trial
Google
Google IT Automation with Python
Skills you'll gain: Git (Version Control System), GitHub, Version Control, Infrastructure as Code (IaC), Debugging, Bash (Scripting Language), Test Automation, Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Cloud Services, Technical Communication, Web Services, Email Automation, Automation, Python Programming, Interviewing Skills, Applicant Tracking Systems, Configuration Management, Program Development, Programming Principles
4.8
Rating, 4.8 out of 5 stars
52K reviews
Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
236 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Edureka
AI Agent Orchestration and Scaling
Skills you'll gain: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Edureka
Optimizing and Deploying LLM Systems
Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Model Deployment, Large Language Modeling, OpenAI API, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, CI/CD, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
IBM
IBM AI Enterprise Workflow
Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
4.3
Rating, 4.3 out of 5 stars
350 reviews
Advanced · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Packt
Advanced Prompt Engineering and Memory Management
Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging
Advanced · Course · 1 - 3 Months
Status: Free Trial
Duke University
MLOps | Machine Learning Operations
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
4.2
Rating, 4.2 out of 5 stars
557 reviews
Advanced · Specialization · 3 - 6 Months

Searches related to r programming

r programming for statistics and data science

r programming essentials with microsoft tools

r programming and tidyverse capstone project

advanced r programming

the r programming environment

the r programming starter course

data analysis with r programming

microsoft r programming for everyone

In summary, here are 10 of our most popular r programming courses

Advanced Statistics for Data Science: Johns Hopkins University
Google Business Intelligence: Google
Google Advanced Data Analytics: Google
Building Medieval Worlds - Unreal Engine 5 Modular Kitbash: Packt
Salesforce Starter Kit: Coursera
Google IT Automation with Python: Google
Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
AI Agent Orchestration and Scaling: Edureka
Optimizing and Deploying LLM Systems: Edureka
IBM AI Enterprise Workflow: IBM

Skills you can learn in Data Analysis

Analytics (85)

Big Data (64)

Python Programming (47)

Business Analytics (40)

R Programming (37)

Statistical Analysis (36)

Sql (33)

Data Model (29)

Data Mining (27)

Exploratory Data Analysis (26)

Data Modeling (21)

Data Manipulation (20)

Frequently Asked Questions about 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.‎

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.‎

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.‎

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.