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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
      D

      Duke University

      Rust Fundamentals

      Skills you'll gain: Rust (Programming Language), Unit Testing, Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      162 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      A Tour of Google Cloud Hands-on Labs

      Skills you'll gain: Identity and Access Management, Google Cloud Platform, Cloud API, User Accounts, Application Programming Interface (API), Cloud Services, Role-Based Access Control (RBAC)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      262 reviews

      Beginner · Project · Less Than 2 Hours

    • K

      King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Corporate Entrepreneurship: Innovating within Corporations

      Skills you'll gain: Proposal Development, Business Modeling, Innovation, Entrepreneurship, Customer Analysis, Entrepreneurial Finance, Business Valuation, Market Opportunities, Corporate Strategy, New Business Development, Internal Auditing, Corporate Finance, Financial Modeling, Internal Communications, Financial Statements, Business Strategy, Corporate Accounting, Project Finance, Business Metrics, Value Propositions

      4.6
      Rating, 4.6 out of 5 stars
      ·
      268 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Computing Foundations

      Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Continuous Integration, Amazon Web Services, Software Development Methodologies, Platform As A Service (PaaS)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      271 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning

      Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      235 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of Coding Full-Stack

      Skills you'll gain: Microsoft Copilot, Programming Principles, Full-Stack Web Development, GitHub, Version Control, Program Development, Debugging, Computational Thinking, Pseudocode, Git (Version Control System), Web Design and Development, Computer Programming, Algorithms, Web Development, C# (Programming Language), Data Structures, Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Job Control Language (JCL), Command-Line Interface, Performance Tuning, Computer Architecture

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Network Automation Engineering Fundamentals

      Skills you'll gain: Ansible, Development Environment, Postman API Platform, Restful API, Authentications, YAML, Software Development Methodologies, Software-Defined Networking, CI/CD, DevOps, IT Automation, Network Engineering, Network Architecture, Network Administration, Application Programming Interface (API), Scripting, JSON, Data Modeling, Network Protocols, Network Routing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      130 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 2)

      Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, User Interface (UI), Program Development, Animations, Game Design, Programming Principles, Python Programming, Computer Programming, Data Structures, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Programming for Data Science

      Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Software Installation, Data Structures, Data Science, Software Documentation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    R Programming learners also search

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    1…363738…126

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

    • Rust Fundamentals: Duke University
    • A Tour of Google Cloud Hands-on Labs: Google Cloud
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • Corporate Entrepreneurship: Innovating within Corporations: University of Maryland, College Park
    • Cloud Computing Foundations: Duke University
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Microsoft Azure Machine Learning: Microsoft
    • Foundations of Coding Full-Stack: Microsoft
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Network Automation Engineering Fundamentals: Cisco Learning and Certifications

    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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