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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
      V

      Vanderbilt University

      AI Agents and Agentic AI in Python: Powered by Generative AI

      Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Artificial Intelligence, Business Process Automation, Automation, Strategic Thinking, Python Programming, Creative Thinking, Creativity, Business Intelligence, Value Propositions, Workflow Management, Software Design, Emerging Technologies, Innovation, Business Strategy, Natural Language Processing, Action Oriented

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Meta React Native

      Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, UI/UX Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface and User Experience (UI/UX) Design, Mobile Development, Design Research, Cross Platform Development, React.js, Web Development Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: ChatGPT, Generative AI, Ideation, Verification And Validation, Document Management, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Creative Thinking, Artificial Intelligence, Creativity, Personalized Service, Risk Management Framework, Business Process Automation, Expense Management, Automation, Productivity Software, Strategic Thinking, Microsoft Excel, Python Programming, Business Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Kanban Principles, Development Environment, Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Software Architecture, Software Design, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Programming Principles, Scrum (Software Development)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Generative AI for Software Developers

      Skills you'll gain: ChatGPT, Generative AI, OpenAI, CI/CD, Software Development, Software Development Life Cycle, DevSecOps, Data Ethics, Natural Language Processing, Prototyping, Software Architecture, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Software Testing, Software Development Tools, Augmented and Virtual Reality (AR/VR), Debugging, Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      IBM IT Project Manager

      Skills you'll gain: Stakeholder Engagement, Software Development Life Cycle, Agile Software Development, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Team Motivation, Kanban Principles, Project Schedules, Development Environment, Project Management Institute (PMI) Methodology, Information Technology, Sprint Retrospectives, Interviewing Skills, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Data Analysis, Data Processing, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

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

      Beginner · Course · 1 - 3 Months

    • M

      Meta

      Meta Android Developer

      Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, UI/UX Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface and User Experience (UI/UX) Design, Mobile Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Software Development Life Cycle, Machine Learning, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      AWS Cloud Support Associate

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Command-Line Interface, Amazon CloudWatch, AWS CloudFormation, Root Cause Analysis, Amazon DynamoDB, Network Troubleshooting, Amazon Web Services, Customer Relationship Management, Software Architecture, IT Automation, Linux Commands, Cloud Computing, Linux, Amazon S3, Scalability, Scripting, Cloud Infrastructure, Web Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Query Languages, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Getting Started with Rstudio

      Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      141 reviews

      Beginner · Guided Project · Less Than 2 Hours

    R Programming learners also search

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    Beginner R Programming
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    1…111213…287

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

    • AI Agents and Agentic AI in Python: Powered by Generative AI: Vanderbilt University
    • Meta React Native: Meta
    • AI Agent Developer: Vanderbilt University
    • IBM IT Scrum Master: IBM
    • Generative AI for Software Developers: IBM
    • IBM IT Project Manager: IBM
    • Process Data from Dirty to Clean: Google
    • Meta Android Developer: Meta
    • Generative AI with Large Language Models: DeepLearning.AI
    • AWS Cloud Support Associate: Amazon Web Services

    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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