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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

    • C

      Coursera Project Network

      Introduction to Javascript: The Basics

      Skills you'll gain: Javascript, Back-End Web Development, Server Side, Front-End Web Development, Scripting, Event-Driven Programming, Web Applications, Mobile Development, HTML and CSS, Web Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      285 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Programming Mobile Applications for Android Handheld Systems: Part 1

      Skills you'll gain: Android Development, Mobile Development, Android Studio, Android (Operating System), Application Development, UI Components, Java, Development Environment, Authorization (Computing), Application Lifecycle Management, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      684 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Internet of Things: Multimedia Technologies

      Skills you'll gain: Computer Vision, Mobile Development, Digital Communications, Application Development, Python Programming, Internet Of Things, Embedded Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      304 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University at Buffalo

      Data Analysis and Visualization

      Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Data Quality, Process Analysis, Business Process, Business Strategies, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Trend Analysis, Forecasting, Data Manipulation, Python Programming

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Arm

      Arm Cortex-M Processors Overview

      Skills you'll gain: Microarchitecture, Computer Architecture, Embedded Software, Embedded Systems, Hardware Architecture, System Requirements, Product Support

      4.6
      Rating, 4.6 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Mastering the Software Engineering Interview

      Skills you'll gain: Growth Mindedness, Technical Communication, Adaptability, Algorithms, Overcoming Obstacles, Software Engineering, Verbal Communication Skills, Interpersonal Communications, Communication, Problem Solving, Self-Awareness, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      555 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Robotics with Webots

      Skills you'll gain: Robotic Process Automation, Automation, Artificial Intelligence, Engineering, Scientific, and Technical Instruments, Data Mapping, Simulation and Simulation Software, Graph Theory, Mechanics, Algorithms, Control Systems, Simulations, Engineering, Real-Time Operating Systems, Global Positioning Systems, Computer Science, Data Structures, Programming Principles, Estimation, Linear Algebra, Performance Tuning

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      55 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Dashboard Development with Shiny: GenAI for Retail Analysis

      Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Presentation, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Web Applications, Data Import/Export

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      Beginner · Course · 1 - 3 Months

    R Programming learners also search

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

    • Introduction to Javascript: The Basics: Coursera Project Network
    • Programming Mobile Applications for Android Handheld Systems: Part 1: University of Maryland, College Park
    • Internet of Things: Multimedia Technologies: University of California San Diego
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Data Analysis and Visualization: University at Buffalo
    • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Arm Cortex-M Processors Overview: Arm
    • Mastering the Software Engineering Interview: University of California San Diego
    • Introduction to Robotics with Webots: University of Colorado Boulder
    • Machine Learning e Data Mining in R: Università di Napoli Federico II

    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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