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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

    • L

      L&T EduTech

      Microcontroller and Industrial Applications

      Skills you'll gain: Embedded Software, Peripheral Devices, Integrated Development Environments, Embedded Systems, Computer Programming Tools, Development Environment, Internet Of Things, Microarchitecture, Automation, Real Time Data, Hardware Architecture, Computer Architecture, Prototyping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      290 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      379 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Software Design Methods and Tools

      Skills you'll gain: Unified Modeling Language, Unit Testing, Software Design, Technical Design, Software Engineering, Software Development Tools, JUnit, Systems Design, Software Testing, Test Automation, Software Development Methodologies, Dataflow, Ethical Standards And Conduct, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Cloud Systems Software

      Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Infrastructure, Distributed Computing, Virtualization, Data Store, Multi-Tenant Cloud Environments, Virtual Machines, Scalability, Apache Hadoop

      4.6
      Rating, 4.6 out of 5 stars
      ·
      311 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Antibióticos ¿cuándo, cómo y para qué?

      Skills you'll gain: Preventative Care, Microbiology, Medical Prescription, Public Health, Infectious Diseases, Infection Control, Pharmacology, Pharmacotherapy, Patient Education And Counseling, Health Assessment

      4.3
      Rating, 4.3 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Frontend for Java Full Stack Development

      Skills you'll gain: Angular, Web Applications, HTML and CSS, Web Development, JavaScript Frameworks, Hypertext Markup Language (HTML), Front-End Web Development, Javascript, Cascading Style Sheets (CSS), Maintainability, UI Components

      4.2
      Rating, 4.2 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Relational database systems

      Skills you'll gain: Database Systems, Relational Databases, Database Management, SQL, Databases, Database Design, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, MySQL Workbench, Information Systems Security, Performance Tuning, Conceptual Design

      4.4
      Rating, 4.4 out of 5 stars
      ·
      449 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Mobile App Development

      Skills you'll gain: Mobile Development, Mobile Development Tools, Android Development, iOS Development, Android Studio, Flutter (Software), Application Development, Swift Programming, Development Environment, Integrated Development Environments, Apple Xcode, Apple iOS, Test Tools, Application Frameworks, React Native, Cross Platform Development, Software Testing, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      114 reviews

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Introduction to .NET Core

      Skills you'll gain: .NET Framework, ASP.NET, C# (Programming Language), Web Applications, Web Development, Application Frameworks, Model View Controller, Microsoft Visual Studio, Application Deployment, Cross Platform Development, Cloud Hosting, Development Environment, Debugging, Middleware, Integrated Development Environments, Software Architecture, Command-Line Interface

      4
      Rating, 4 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
    Data Analytics
    Beginner R Programming
    R Programming Projects
    Analysis
    1…868788…288

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

    • Microcontroller and Industrial Applications: L&T EduTech
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
    • Software Design Methods and Tools: University of Colorado System
    • Cloud Systems Software: Georgia Institute of Technology
    • Antibióticos ¿cuándo, cómo y para qué?: Universidad Nacional Autónoma de México
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • Frontend for Java Full Stack Development: Board Infinity
    • Relational database systems: Universidad Nacional Autónoma de México
    • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Introduction to Mobile App Development: IBM

    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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