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    • R Programming

    R Programming Courses Online

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

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    Explore the R Programming Course Catalog

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Exploratory Data Analysis, Ggplot2, Data Visualization, Statistical Programming, Descriptive Statistics, Data Manipulation, Data Science, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Statistical Modeling, Data Transformation, Software Installation

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Logic, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Graph Theory, Advanced Mathematics, Analysis, Emerging Technologies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      216 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Program Development, Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Analytics, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, Development Environment, NumPy, Algorithms, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      33K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, OpenShift, Git (Version Control System), Cloud Applications, Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Linux Commands, Unit Testing, Object-Relational Mapping, Application Deployment, NoSQL, Kubernetes, Bash (Scripting Language), MongoDB, Shell Script, OpenShift, Git (Version Control System), Cloud Applications, Containerization, GitHub, Serverless Computing, Jupyter, Grafana

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Scripting, Python Programming, Computer Programming, Algorithms, Problem Management, Data Structures, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • U

      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, System Programming, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Application Development, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Test Automation, CI/CD, Cloud Infrastructure, Cloud Computing, Technical Communication, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Analytical Skills, Experimentation, Research Design, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Scientific Visualization, Science and Research, Scientific Methods, Medical Science and Research, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    R Programming learners also search

    R
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    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…456…287

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

    • R Programming for Statistics and Data Science: Packt
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Introduction to Programming: Ball State University
    • Machine Learning: DeepLearning.AI
    • IBM Full Stack Software Developer: IBM
    • IBM AI Engineering: IBM
    • IBM Back-End Development: IBM
    • Crash Course on Python: Google
    • Coding for Everyone: C and C++: University of California, Santa Cruz
    • MATLAB Programming for Engineers and Scientists: Vanderbilt 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.

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