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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

    • I

      Imperial College London

      Advanced App Development in Android

      Skills you'll gain: Virtual Reality, Augmented and Virtual Reality (AR/VR), Computer Graphics, Visualization (Computer Graphics), Virtual Environment, Logo Design, Android Development, Augmented Reality, Computer Graphic Techniques, Application Development, Graphics Software, Animation and Game Design, Mobile Development, Interactive Design, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      126 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Developing the SIR Model

      Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Peking University

      计算导论与C语言基础

      Skills you'll gain: C (Programming Language), Programming Principles, Computer Science, Computer Architecture, Theoretical Computer Science, Computer Programming, Computational Logic, Computer Hardware, Data Structures, Algorithms, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 3 - 6 Months

    • D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      241 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      The Fundamental of Data-Driven Investment

      Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Regression Analysis, Data Manipulation, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      SQL for Data Science Capstone Project

      Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Learn to Teach Java

      Skills you'll gain: Debugging, Object Oriented Programming (OOP), Java, Programming Principles, Java Programming, Pedagogy, Integrated Development Environments, Software Design, Computational Thinking, Computer Programming, Cultural Responsiveness, Test Case, Program Development, Pseudocode, Algorithms, Data Structures, Computer Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      CertNexus

      CertNexus Certified Data Science Practitioner

      Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • L

      LearnQuest

      Spring MVC, Spring Boot and Rest Controllers

      Skills you'll gain: Model View Controller, Spring Framework, Restful API, Spring Boot, Web Services, JSON, YAML, Java, Web Applications, Configuration Management, Angular, Application Frameworks, Software Architecture, Extensible Markup Language (XML)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      208 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Other Programming Languages, Java, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures

      Intermediate · Course · 1 - 3 Months

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    R Programming learners also search

    R
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    Data Analysis
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    1…757677…288

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

    • Advanced App Development in Android: Imperial College London
    • Developing the SIR Model: Imperial College London
    • 计算导论与C语言基础: Peking University
    • Python and Pandas for Data Engineering: Duke University
    • The Fundamental of Data-Driven Investment: Sungkyunkwan University
    • SQL for Data Science Capstone Project: University of California, Davis
    • Learn to Teach Java: University of California San Diego
    • CertNexus Certified Data Science Practitioner: CertNexus
    • Spring MVC, Spring Boot and Rest Controllers: LearnQuest
    • Parallel programming: École Polytechnique Fédérale de Lausanne

    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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