• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • R Programming

    R Programming Courses Online

    Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the R Programming Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Hacking and Patching

      Skills you'll gain: Penetration Testing, Application Security, Vulnerability Scanning, Secure Coding, Software Design Patterns, Vulnerability Assessments, Amazon Web Services, SQL, Amazon Elastic Compute Cloud, Operating Systems, Data Validation

      4
      Rating, 4 out of 5 stars
      ·
      275 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Tools for Exploratory Data Analysis in Business

      Skills you'll gain: Data Storytelling, Extract, Transform, Load, Business Analytics, Business Intelligence, Exploratory Data Analysis, Data Quality, Analytics, Data Visualization Software, Data Analysis, Power BI, Alteryx, Descriptive Statistics, Statistical Methods, Data Transformation, R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Designers

      Skills you'll gain: Object Oriented Programming (OOP), Animation and Game Design, Interactive Data Visualization, Software Design, Technical Design, Data Structures, Visualization (Computer Graphics), Interactive Design, Programming Principles, Python Programming, Graphic and Visual Design, Computer Programming, Simulations, Computer Graphics, Computational Logic, Creative Design, Data Import/Export, Animations, Algorithms, Scripting

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Oracle SQL Proficiency

      Skills you'll gain: SQL, Oracle Databases, PL/SQL, Database Management, Relational Databases, Database Design, Databases, Data Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      152 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM COBOL Basics

      Skills you'll gain: COBOL (Programming Language), Editing, Mainframe Computing, Business Logic, Programming Principles, Data Structures, Computational Logic, Data Storage, Debugging, Procedure Development, Program Implementation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Computational Logic, Application Specific Integrated Circuits, Computer-Aided Design, Electronic Hardware, Electrical Engineering, Electronic Systems, Electronics, Semiconductors, Electronic Components, Computer Architecture, Programming Principles, Engineering Design Process, Embedded Systems, Schematic Diagrams, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Tidy Messy Data using tidyr in R

      Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Pivot Tables And Charts

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Advanced Topics in Derivative Pricing

      Skills you'll gain: Derivatives, Credit Risk, Financial Market, Capital Markets, Futures Exchange, Equities, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      計算機程式設計 (Computer Programming)

      Skills you'll gain: Programming Principles, Computer Programming, C (Programming Language), Data Structures, Computer Science, Algorithms, Program Development, Command-Line Interface, Functional Design, Debugging, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      368 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…919293…296

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

    • Hacking and Patching: University of Colorado System
    • Tools for Exploratory Data Analysis in Business: University of Illinois Urbana-Champaign
    • Programming for Designers: University of Michigan
    • Oracle SQL Proficiency: LearnQuest
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • IBM COBOL Basics: IBM
    • Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA: Pontificia Universidad Católica de Chile
    • Tidy Messy Data using tidyr in R: Coursera Project Network
    • Advanced Topics in Derivative Pricing: Columbia University
    • 計算機程式設計 (Computer Programming): National Taiwan University

    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

    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.‎

    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.‎

    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.‎

    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.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok