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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
      U

      University of Washington

      Building Web Pages with HTML & CSS

      Skills you'll gain: GitHub, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Version Control, Git (Version Control System), HTML and CSS, Web Design and Development, Web Development, Front-End Web Development, Web Content Accessibility Guidelines, Cloud Hosting, Debugging, Semantic Web, Web Analytics and SEO, Responsive Web Design

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Secure Coding in Laravel

      Skills you'll gain: Secure Coding, Distributed Denial-Of-Service (DDoS) Attacks, Application Security, Security Testing, OAuth, Authorization (Computing), Authentications, Data Validation, Encryption, Security Software, Data Security, Vulnerability Scanning, Security Controls, Role-Based Access Control (RBAC), Verification And Validation, Database Application, Security Awareness, Web Development Tools, User Accounts, Web Applications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Generative AI: Turbocharge Mobile App Development

      Skills you'll gain: AI Personalization, Mobile Development, Generative AI, Prompt Engineering, Machine Learning Methods, OpenAI, Cloud Applications, Artificial Intelligence, ChatGPT, Cloud Development, User Interface and User Experience (UI/UX) Design

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript)

      Skills you'll gain: JSON, Application Programming Interface (API), Restful API, Javascript, Web Applications, Data Access, Web Servers, Hypertext Markup Language (HTML), Servers, Cascading Style Sheets (CSS)

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Uso de Python para Acceder a Datos Web

      Skills you'll gain: Web Scraping, Restful API, Network Protocols, JSON, Extensible Markup Language (XML), Data Access, TCP/IP, Application Programming Interface (API), Data Import/Export, Hypertext Markup Language (HTML), Data Processing, Python Programming, Software Installation, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      10 reviews

      Mixed · Course · 1 - 3 Months

    • E

      EIT Digital

      System Validation (2): Model process behaviour

      Skills you'll gain: Verification And Validation, Systems Analysis, Systems Design, Mathematical Modeling, Programming Principles, Data Structures, Theoretical Computer Science, Distributed Computing, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Database Creation and Modeling using MYSQL Workbench

      Skills you'll gain: MySQL Workbench, MySQL, Database Design, SQL, Database Management, Relational Databases, Databases, Data Integration, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      26 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

      Packt

      Learn Spring Boot in 100 Steps - Beginner to Expert

      Skills you'll gain: JUnit, Spring Boot, Apache Maven, Spring Framework, Unit Testing, Hibernate (Java), Web Applications, Restful API, Application Development, Web Development, Application Deployment, Application Frameworks, Software Testing, Java, Test Case, Object-Relational Mapping, Bootstrap (Front-End Framework), Development Environment, Database Management, Gradle

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 1 - 3 Months

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

      Microsoft

      Full-Stack Integration

      Skills you'll gain: Full-Stack Web Development, Microsoft Copilot, Application Programming Interface (API), Systems Integration, Web Applications, ASP.NET, Restful API, Back-End Web Development, Development Environment, Real Time Data, Debugging, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Use Python Regular Expressions to Process File Data

      Skills you'll gain: Test Data, Test Case, Data Validation, Verification And Validation, Scripting, Data Cleansing, Python Programming, File Management

      3.9
      Rating, 3.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust for Large Language Model Operations (LLMOps)

      Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Application Deployment, System Monitoring, Cloud Development, Natural Language Processing, DevOps, Amazon Web Services, Deep Learning, Cloud Security

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Securing and Integrating Components of your Application 日本語版

      Skills you'll gain: Cloud Applications, Cloud API, Google Cloud Platform, Authentications, Serverless Computing, Identity and Access Management, API Design, Event-Driven Programming, Microservices, Node.JS, Authorization (Computing), Natural Language Processing, Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    R Programming learners also search

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    1…173174175…296

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

    • Building Web Pages with HTML & CSS: University of Washington
    • Secure Coding in Laravel: Infosec
    • Generative AI: Turbocharge Mobile App Development: SkillUp EdTech
    • API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript): Scrimba
    • Uso de Python para Acceder a Datos Web: University of Michigan
    • System Validation (2): Model process behaviour: EIT Digital
    • Database Creation and Modeling using MYSQL Workbench: Coursera Project Network
    • Learn Spring Boot in 100 Steps - Beginner to Expert: Packt
    • Full-Stack Integration: Microsoft
    • Use Python Regular Expressions to Process File Data: Coursera Project Network

    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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