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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

      Instituto Tecnológico de Aeronáutica

      Desenvolvimento Ágil com Padrões de Projeto

      Skills you'll gain: Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Java, Software Design, Dependency Analysis, Test Driven Development (TDD)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Mastering Laravel Framework and PHP

      Skills you'll gain: PHP (Scripting Language), Object-Relational Mapping, Web Applications, Web Development, Model View Controller, Application Frameworks, Database Management, Relational Databases, Back-End Web Development, Application Security, Server Side, Middleware, Application Programming Interface (API), Authentications

      4.3
      Rating, 4.3 out of 5 stars
      ·
      155 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Web and Mobile Testing with Selenium

      Skills you'll gain: Open Web Application Security Project (OWASP), Selenium (Software), Software Testing, Security Testing, Test Automation, Performance Testing, Functional Testing, Test Execution Engine, Test Planning, Application Security, Mobile Development, Application Performance Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Intellectual Property in the Healthcare Industry

      Skills you'll gain: Intellectual Property, Healthcare Industry Knowledge, Pharmaceuticals, Health Care Procedure and Regulation, Regulation and Legal Compliance, Legal Strategy, Medical Privacy, Health Policy, Medical Science and Research, Branding, Economics, Policy Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 1

      Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Jupyter, Program Development, Integrated Development Environments, Computer Programming Tools, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Scrimba

      Learn React

      Skills you'll gain: React.js, Front-End Web Development, Web Development Tools, User Interface (UI), JavaScript Frameworks, UI Components, Web Content Accessibility Guidelines, User Interface and User Experience (UI/UX) Design, Cascading Style Sheets (CSS), Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 3 - 6 Months

    • S

      SAS

      Structured Query Language (SQL) using SAS

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Integration, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      282 reviews

      Mixed · Course · 1 - 3 Months

    • R

      Rice University

      Algorithmic Thinking (Part 2)

      Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      216 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      398 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Codio

      Visualizing Data & Communicating Results in R with RStudio

      Skills you'll gain: Rmarkdown, Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, R Programming

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Joining Data in R using dplyr

      Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation

      Intermediate · Guided Project · Less Than 2 Hours

    • V

      Vanderbilt University

      Scalable Microservices for Developers

      Skills you'll gain: Microservices, Spring Boot, Spring Framework, IntelliJ IDEA, Java Programming, Restful API, Object Oriented Programming (OOP), Java, Application Deployment, Software Architecture, API Design, Integrated Development Environments, Scalability, Service Oriented Architecture, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Distributed Computing, Computer Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      47 reviews

      Intermediate · Specialization · 1 - 3 Months

    R Programming learners also search

    R
    Data
    Data Analysis
    Data Science
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    Beginner R Programming
    R Programming Projects
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    In summary, here are 10 of our most popular r programming courses

    • Desenvolvimento Ágil com Padrões de Projeto: Instituto Tecnológico de Aeronáutica
    • Mastering Laravel Framework and PHP: Board Infinity
    • Web and Mobile Testing with Selenium: University of Minnesota
    • Intellectual Property in the Healthcare Industry: University of Pennsylvania
    • Practical Python for AI Coding 1: Korea Advanced Institute of Science and Technology(KAIST)
    • Learn React: Scrimba
    • Structured Query Language (SQL) using SAS : SAS
    • Algorithmic Thinking (Part 2): Rice University
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes
    • Visualizing Data & Communicating Results in R with RStudio: Codio

    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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