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    • R

    R 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 Course Catalog

    • Status: Free
      Free
      N

      Northeastern University

      Data Visualization with Python & R for Engineers

      Build toward a degree

      Mixed Ā· Course Ā· 1 - 4 Weeks

    • U

      UniversitĆ  di Napoli Federico II

      Machine Learning e Data MiningĀ in R

      Skills you'll gain: Data Analysis, Business Analysis, Calculus, Data Management, Leadership and Management

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      8 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • C

      Coursera Project Network

      Decision Tree Classifier for Beginners in R

      Skills you'll gain: Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      6 reviews

      Beginner Ā· Guided Project Ā· Less Than 2 Hours

    • U

      Universidades AnƔhuac

      AnƔlisis de datos empresariales con R

      Beginner Ā· Course Ā· 1 - 3 Months

    • P

      Packt

      Foundations of R Programming and Basic Data Manipulation

      Skills you'll gain: R Programming

      Beginner Ā· Course Ā· 1 - 3 Months

    • C

      Coursera Project Network

      Simulation of Call Centre Operations Using R Simmer

      Skills you'll gain: Data Analysis, Process Analysis, R Programming

      Beginner Ā· Guided Project Ā· Less Than 2 Hours

    • Placeholder
      J

      Johns Hopkins University

      Building R Packages

      Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Development Testing, Technical Documentation

      4.1
      Rating, 4.1 out of 5 stars
      Ā·
      223 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Introduction to Neurohacking In R

      Skills you'll gain: Image Analysis, Data Manipulation, R Programming, Data Processing, Scientific Visualization, Computer Vision, Statistical Analysis, Data Structures, Data Analysis, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      309 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • Placeholder
      U

      UniversitĆ  di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Data Analysis, Business Analysis, Leadership and Management, Calculus, Data Management, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      Ā·
      48 reviews

      Intermediate Ā· Specialization Ā· 1 - 3 Months

    • Placeholder
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Strategy, Data Visualization Software, SQL

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      111K reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      R Programming and Tidyverse Capstone Project

      Skills you'll gain: Communication, Data Analysis, Data Visualization, R Programming

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      R Ų£Ų³Ų§Ų³ŁŠŲ§ŲŖ Ł„ŲŗŲ© Ų§Ł„ŲØŲ±Ł…Ų¬Ų©

      Skills you'll gain: Computer Programming, Data Analysis, Data Science, R Programming

      Beginner Ā· Guided Project Ā· Less Than 2 Hours

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

    • Data Visualization with Python & R for Engineers:Ā Northeastern University
    • Machine Learning e Data MiningĀ in R:Ā UniversitĆ  di Napoli Federico II
    • Decision Tree Classifier for Beginners in R:Ā Coursera Project Network
    • AnĆ”lisis de datos empresariales con R:Ā Universidades AnĆ”huac
    • Foundations of R Programming and Basic Data Manipulation:Ā Packt
    • Simulation of Call Centre Operations Using R Simmer:Ā Coursera Project Network
    • Building R Packages:Ā Johns Hopkins University
    • Introduction to Neurohacking In R:Ā Johns Hopkins University
    • Data Science con Python e R:Ā UniversitĆ  di Napoli Federico II
    • Foundations: Data, Data, Everywhere:Ā Google

    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

    R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis, statistical computing, and graphical representation, including:

    • Fundamentals of R syntax and programming environment
    • Data manipulation and cleaning techniques using R packages like dplyr and tidyr
    • Statistical analysis and model building to interpret complex data sets
    • Creating compelling visualizations with ggplot2 and other visualization tools
    • Developing reproducible reports and interactive web apps with R Markdown and Shiny
    • Applying R in various domains such as finance, healthcare, and academic research ā€Ž

    Courseraā€™s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.ā€Ž

    Courseraā€™s R programming courses are designed to welcome learners at different levels of expertise:

    • No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts.
    • Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills.
    • Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.ā€Ž

    Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication:

    • Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language.
    • Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R.
    • Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R. ā€Ž

    Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.ā€Ž

    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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