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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
      U

      University of Michigan

      Wearable Technologies and Sports Analytics

      Skills you'll gain: Kinesiology, Injury Prevention, Analytics, Data Analysis, Physical Therapy, Applied Machine Learning, Vital Signs, Health Technology, Machine Learning, Stress Management, Data Collection, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Maven Analytics

      ChatGPT & Generative AI for Data Analytics

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Machine Learning Methods, Large Language Modeling, Microsoft Excel, Artificial Intelligence, Python Programming, SQL, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Desarrollo de páginas con Angular

      Skills you'll gain: Angular, JavaScript Frameworks, Continuous Integration, TypeScript, JSON, Application Frameworks, Restful API, Test Automation, Web Services, Unit Testing, Web Applications, NoSQL, API Gateway, UI Components, Event-Driven Programming, Routing Protocols, Data Validation

      3.1
      Rating, 3.1 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon

      Application Development

      Skills you'll gain: Git (Version Control System), Software Development Methodologies, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Systems Development, Software Development, Unified Modeling Language, Software Testing, JUnit, Agile Methodology, Spring Framework, Code Review, Maintainability, Debugging, Java, Technical Design, User Story, User Interface (UI) Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de cero a usuario

      Skills you'll gain: Package and Software Management, Jupyter, Software Installation, Python Programming, Computational Thinking, Mac OS, Programming Principles, Microsoft Windows, Cross Platform Development, Software Documentation, Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Serverless Architectures on AWS

      Skills you'll gain: AWS CloudFormation, Serverless Computing, Infrastructure as Code (IaC), Cloud API, Application Programming Interface (API), Cloud Infrastructure, Event-Driven Programming, Authentications, Amazon S3, Amazon DynamoDB, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))

      Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Software Engineering: Implementation and Testing

      Skills you'll gain: Acceptance Testing, Software Development Methodologies, Configuration Management, Debugging, Software Development Life Cycle, Software Testing, Software Engineering, Unified Modeling Language, Integration Testing, User Acceptance Testing (UAT), Unit Testing, System Implementation, Secure Coding, Test Case, Requirements Analysis, Agile Methodology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      البرمجة للجميع - بدء استخدام بايثون

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Desarrollo del lado servidor: NodeJS, Express y MongoDB

      Skills you'll gain: Server Side, Node.JS, Back-End Web Development, Restful API, Web Development, MongoDB, Application Deployment, OAuth, Web Servers, Web Applications, Authentications, Application Security, Object-Relational Mapping, NoSQL, Authorization (Computing)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Statistical Inference, Statistical Methods, Statistical Analysis, Data Integrity, Data Ethics, Probability & Statistics, R Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidade Estadual de Campinas

      Introdução ao Desenvolvimento de Aplicativos Android

      Skills you'll gain: Android Studio, Android Development, Mobile Development, Event-Driven Programming, UI Components, User Interface (UI), Application Development, Java, Program Development, Development Environment, Extensible Markup Language (XML), Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      64 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…118119120…291

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

    • Wearable Technologies and Sports Analytics: University of Michigan
    • ChatGPT & Generative AI for Data Analytics: Maven Analytics
    • Desarrollo de páginas con Angular: Universidad Austral
    • Application Development: Amazon
    • Python: de cero a usuario: Universidad Nacional Autónoma de México
    • Serverless Architectures on AWS: Amazon Web Services
    • 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3)): National Taiwan University
    • Software Engineering: Implementation and Testing: The Hong Kong University of Science and Technology
    • البرمجة للجميع - بدء استخدام بايثون: University of Michigan
    • Desarrollo del lado servidor: NodeJS, Express y MongoDB: Universidad Austral

    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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