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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: New
      New
      U

      University of California, Santa Cruz

      C, Go, and C++: A Comprehensive Introduction to Programming

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, Graph Theory

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Introduction to Neurohacking In R

      Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Radiology, Data Processing, Scientific Visualization, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      311 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Mastering Software Development in R Capstone

      Skills you'll gain: Software Documentation, Leaflet (Software), Data Manipulation, Data Cleansing, Package and Software Management, Data Visualization Software, R Programming, GitHub, Geospatial Mapping, Continuous Integration, Software Technical Review, Software Testing

      4
      Rating, 4 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Building R Packages

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

      4.1
      Rating, 4.1 out of 5 stars
      ·
      223 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Tidy Messy Data using tidyr in R

      Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Pivot Tables And Charts

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      R Ultimate 2023 - R for Data Science and Machine Learning

      Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Applied Machine Learning, Image Analysis, Artificial Intelligence, Data Mining, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Using Databases with Python

      Skills you'll gain: Relational Databases, Database Design, SQL, Databases, Web Scraping, Data Modeling, Database Management, Data Visualization Software, Object-Relational Mapping, Object Oriented Programming (OOP), Data Processing, Python Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Genentech

      Hands On Clinical Reporting Using R

      Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Pharmaceuticals, Data Modeling, R Programming, Technical Communication, Data Analysis Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      R Programming and Tidyverse Capstone Project

      Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Tidying and Importing with R

      Skills you'll gain: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Cleansing, R Programming, Data Transformation, Data Literacy, Exploratory Data Analysis, Data Ethics

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      R أساسيات لغة البرمجة

      Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Literacy, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Structures

      Beginner · Guided Project · Less Than 2 Hours

    R learners also search

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    1…91011…48

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

    • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
    • Introduction to Neurohacking In R: Johns Hopkins University
    • Mastering Software Development in R Capstone: Johns Hopkins University
    • Building R Packages: Johns Hopkins University
    • Tidy Messy Data using tidyr in R: Coursera Project Network
    • R Ultimate 2023 - R for Data Science and Machine Learning: Packt
    • Using Databases with Python: University of Michigan
    • Hands On Clinical Reporting Using R: Genentech
    • R Programming and Tidyverse Capstone Project: University of Colorado Boulder
    • Data Tidying and Importing with R: Duke University

    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 ‎

    Coursera’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.‎

    Coursera’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.‎

    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. ‎

    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.‎

    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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