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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

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Playwright Python and Pytest for Web Automation Testing

      Skills you'll gain: Test Automation, Authentications, Continuous Integration, Software Testing, Unit Testing, Event-Driven Programming, Scripting, Browser Compatibility, Behavior-Driven Development, Test Tools, Test Execution Engine, Test Case, GitHub, Cascading Style Sheets (CSS), User Interface (UI), Verification And Validation, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of Toronto

      Data Visualization for Genome Biology

      Skills you'll gain: Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Heat Maps, Molecular Biology, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Practical Quantum Computing with IBM Qiskit for Beginners

      Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Programming Principles, Computer Science, Theoretical Computer Science, Emerging Technologies, Test Case, Jupyter, Physics, Simulations, Software Installation, Debugging, Development Environment

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Web Development with Python

      Skills you'll gain: Web Development, Flask (Web Framework), Restful API, Selenium (Software), Front-End Web Development, Web Applications, Full-Stack Web Development, Secure Coding, Object-Relational Mapping, JavaScript Frameworks, Application Security, Application Deployment, Cloud Applications, HTML and CSS, Back-End Web Development, Databases, Application Programming Interface (API), Microsoft Azure, Vue.JS, Relational Databases

      3.7
      Rating, 3.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universitat Autònoma de Barcelona

      Motores gráficos en videojuegos: game engine

      Skills you'll gain: Video Game Development, Computer Graphics, Visualization (Computer Graphics), Microsoft Visual Studio, C++ (Programming Language), Artificial Intelligence, User Interface (UI), Animations, Application Development, Computer Programming Tools, Debugging

      3.9
      Rating, 3.9 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Java as a Second Language

      Skills you'll gain: Java, Java Programming, Eclipse (Software), Object Oriented Programming (OOP), Development Environment, Computer Programming, Program Development, Virtual Machines, Web Applications, Software Installation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      DevOps and Build Automation with Python

      Skills you'll gain: Containerization, Package and Software Management, Software Testing, Docker (Software), Unit Testing, Scripting, Development Testing, CI/CD, Test Automation, Integration Testing, DevOps, Python Programming, Web Scraping

      3.9
      Rating, 3.9 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's Guide to Omic Data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Research Design, Exploratory Data Analysis, Metadata Management, Experimentation, Science and Research, R Programming, Scientific Methods, Spatial Analysis, Data Collection, Data Quality, Data Validation, Quantitative Research, Biology, Qualitative Research, Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      23 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      EC-Council

      Secure Full Stack MEAN Developer

      Skills you'll gain: Node.JS, MongoDB, Angular, Full-Stack Web Development, JavaScript Frameworks, Restful API, Web Applications, Web Development, NoSQL, Front-End Web Development, Application Security, Web Development Tools, Web Servers, Application Programming Interface (API), Javascript, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    R Programming learners also search

    R
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    Beginner R Programming
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    1…145146147…297

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

    • Machine Learning for Computer Vision: MathWorks
    • Playwright Python and Pytest for Web Automation Testing: Packt
    • Data Visualization for Genome Biology: University of Toronto
    • Practical Quantum Computing with IBM Qiskit for Beginners: Packt
    • Web Development with Python: Microsoft
    • Motores gráficos en videojuegos: game engine: Universitat Autònoma de Barcelona
    • Introduction to Java as a Second Language: LearnQuest
    • DevOps and Build Automation with Python: LearnQuest
    • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
    • Secure Full Stack MEAN Developer: EC-Council

    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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