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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
      L

      LearnQuest

      Java Database Connectivity (JDBC) Introduction

      Skills you'll gain: Data Access, Database Design, Relational Databases, Object Oriented Programming (OOP), SQL, Java, Database Management, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      API Testing with Karate Framework

      Skills you'll gain: Application Programming Interface (API), Test Tools, Behavior-Driven Development, Test Automation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Spacecraft Dynamics Capstone: Mars Mission

      Skills you'll gain: Control Systems, Numerical Analysis, Simulations, Engineering Analysis, Visualization (Computer Graphics), Engineering Calculations, Torque (Physics), Mathematical Modeling, Matlab

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universiteit Leiden

      Population Health: Predictive Analytics

      Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Modern Web Development Specialization

      Skills you'll gain: Restful API, CI/CD, Model View Controller, ASP.NET, Cloud Infrastructure, Continuous Deployment, Load Balancing, OAuth, Continuous Integration, Continuous Delivery, Cloud Computing, Application Deployment, Cloud-Native Computing, Web Applications, Web Development, Application Programming Interface (API), Scalability, Microservices, Microsoft Azure, Secure Coding

      4.9
      Rating, 4.9 out of 5 stars
      ·
      160 reviews

      Intermediate · Specialization · 3 - 6 Months

    • B

      Board Infinity

      Ajax Basics

      Skills you'll gain: Ajax, jQuery, Web Applications, Javascript and jQuery, JSON, Extensible Markup Language (XML), Javascript, Web Development Tools, Event-Driven Programming, Application Programming Interface (API), Network Protocols

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Microsoft

      Database Integration and Management

      Skills you'll gain: SQL, Relational Databases, Microsoft Copilot, Database Management, Transaction Processing, Query Languages, Database Design, Databases, Object-Relational Mapping, Performance Tuning, Data Integrity, Data Modeling, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Essential Testing Techniques in Software Development

      Skills you'll gain: Test Case, Software Testing, Integration Testing, Software Development Life Cycle, System Testing, Acceptance Testing, Maintainability, Regression Testing, Test Planning, Software Quality Assurance, Unit Testing, Functional Testing, User Acceptance Testing (UAT)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology: Fundamentals

      Skills you'll gain: Computer Science, Information Technology, Computational Thinking, Technology Solutions, Geospatial Information and Technology, Computer Networking, Technical Communication, Media and Communications, Digital Communications, Mobile Development, Culture, Data Centers, Algorithms, Global Positioning Systems, Data Analysis Software, Graph Theory

      4.9
      Rating, 4.9 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      برمج بنفسك! مقدمة حول البرمجة

      Skills you'll gain: Software Engineering, Programming Principles, Software Development, Computer Programming, Event-Driven Programming, Software Documentation, Software Testing, Computational Thinking, Algorithms, Animation and Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      26 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      More C++ Programming and Unreal

      Skills you'll gain: Unreal Engine, C++ (Programming Language), Data Structures, Video Game Development, Data Storage, Object Oriented Programming (OOP), Computer Programming, Programming Principles

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Intermediate · 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…147148149…292

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

    • Java Database Connectivity (JDBC) Introduction: LearnQuest
    • AI Workflow: Enterprise Model Deployment: IBM
    • API Testing with Karate Framework: Coursera Project Network
    • Spacecraft Dynamics Capstone: Mars Mission: University of Colorado Boulder
    • Population Health: Predictive Analytics: Universiteit Leiden
    • Modern Web Development Specialization: EDUCBA
    • Ajax Basics: Board Infinity
    • Database Integration and Management: Microsoft
    • Essential Testing Techniques in Software Development: Board Infinity
    • Teaching Impacts of Technology: Fundamentals: University of California San Diego

    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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