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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: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      .NET 8 Backend Bootcamp – Modulith, DDD & CQRS

      Skills you'll gain: Containerization, Restful API, Microservices, Redis, Authentications, PostgreSQL, OAuth, .NET Framework, Application Programming Interface (API), Object Oriented Design, Software Design Patterns, Software Design, Scalability, Software Architecture, Event-Driven Programming, C# (Programming Language), Middleware, Data Migration, Systems Architecture, Maintainability

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Web Exploits, Python Scripting & Network Attacks

      Skills you'll gain: Penetration Testing, OSI Models, Open Web Application Security Project (OWASP), TCP/IP, Network Security, General Networking, Cybersecurity, Prompt Engineering, Large Language Modeling, Vulnerability Assessments, Web Applications, Scripting, Generative AI, Python Programming, SQL, MySQL

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of Building AI Agents

      Skills you'll gain: Agentic systems, Generative AI Agents, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Software Design, Generative AI, SQL, Natural Language Processing, Data Analysis, Pandas (Python Package)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Shiny for Python Ultimate - Web Development with Python

      Skills you'll gain: User Interface (UI), Data Visualization Software, Interactive Data Visualization, UI/UX Strategy, Application Deployment, Web Applications, Data Analysis, Front-End Web Development, Back-End Web Development, Dashboard, Spatial Data Analysis, Web Development, Application Development, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Scrimba

      Vibe Coding with GitHub Copilot

      Skills you'll gain: GitHub, Code Review, AI Personalization, Git (Version Control System), Prompt Engineering, Integrated Development Environments, Computer Programming Tools, Generative AI, Application Development

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      AZ-204 Developing Solutions for Microsoft Azure

      Skills you'll gain: Microsoft Azure, Serverless Computing, Virtual Machines, Containerization, Cloud Applications, Docker (Software), Platform As A Service (PaaS), Application Deployment, Infrastructure As A Service (IaaS), Kubernetes, .NET Framework, Data Security, Event-Driven Programming, Azure Active Directory, Cloud Security, Microservices, API Design, Cloud Storage, System Monitoring, Scalability

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      U

      Universidad Nacional de Colombia

      Programación con Python, nivel básico

      Skills you'll gain: Programming Principles, Debugging, Computational Thinking, Computer Programming, Algorithms, Program Development, Computational Logic, Python Programming, Integrated Development Environments, Development Environment, Software Testing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Event-Driven Systems, Security, and Microservices

      Skills you'll gain: Containerization, Microservices, Authentications, OAuth, Software Design Patterns, Event-Driven Programming, Data Migration, Systems Architecture, Object Oriented Design, Application Programming Interface (API), Software Architecture, Integration Testing

      Intermediate · Course · 1 - 3 Months

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

      Microsoft

      Microsoft JavaScript Starter Kit

      Skills you'll gain: Responsive Web Design, Maintainability, Web Development, HTML and CSS, React.js, Javascript, Web Applications, Program Development, Debugging, Application Development, Node.JS, JavaScript Frameworks, Web Development Tools, Software Testing, Front-End Web Development, Application Programming Interface (API), Webpack, Programming Principles, Web Design, Software Development

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Data Persistence and Firebase Integration

      Skills you'll gain: Flutter (Software), JSON, User Interface (UI), User Interface and User Experience (UI/UX) Design, Database Development, Databases, Interactive Data Visualization, Debugging, Application Development, Mobile Development, Data Storage Technologies, Application Programming Interface (API), Data Management

      Intermediate · Course · 1 - 4 Weeks

    R Programming learners also search

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    1…272829…297

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

    • .NET 8 Backend Bootcamp – Modulith, DDD & CQRS: Packt
    • Advanced Web Exploits, Python Scripting & Network Attacks: Packt
    • Fundamentals of Building AI Agents: IBM
    • Shiny for Python Ultimate - Web Development with Python: Packt
    • Natural Language Processing - Probability Models in Python: Packt
    • Vibe Coding with GitHub Copilot: Scrimba
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • AZ-204 Developing Solutions for Microsoft Azure: Packt
    • Programación con Python, nivel básico: Universidad Nacional de Colombia
    • Event-Driven Systems, Security, and Microservices: Packt

    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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