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    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

    • E

      Emory University

      Reproducible Templates for Analysis and Dissemination

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Providing Technical Support for AWS Workloads

      Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Storage, Customer Support

      4.8
      Rating, 4.8 out of 5 stars
      ·
      56 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Interventions and Calibration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EDUCBA

      Advanced C# Programming in .NET Core

      Skills you'll gain: C# (Programming Language), Software Architecture, .NET Framework, Distributed Computing, Scalability, Object Oriented Programming (OOP), Software Design Patterns, Object-Relational Mapping, Microservices, Debugging, MongoDB, Data Access, Model View Controller, Performance Tuning, Database Management, NoSQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Product Managers

      Skills you'll gain: Agile Product Development, Product Management, Generative AI, Product Development, New Product Development, Ideation, Data Ethics, Market Intelligence, Market Analysis, Technical Documentation, Project Documentation, Artificial Intelligence, Ethical Standards And Conduct

      3.5
      Rating, 3.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 2

      Skills you'll gain: Microsoft Excel

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      B

      Ball State University

      Data Visualization

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Systems, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      D

      Dartmouth College

      C Programming: Pointers and Memory Management - 4

      Skills you'll gain: C (Programming Language), Embedded Systems, Computer Engineering, Embedded Software, Engineering Software, System Programming, Computer Programming, Operating Systems, Data Structures, Linux

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      E

      EDUCBA

      Embedded C Programming Essentials

      Skills you'll gain: Embedded Software, Debugging, Embedded Systems, Integrated Development Environments, C (Programming Language), Computer Programming Tools, Development Environment, System Programming, Microarchitecture, Data Storage, Computer Programming, Peripheral Devices

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      I

      Illinois Tech

      Public Engagement for Scientists

      Skills you'll gain: Data Science, Data Visualization

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      Università di Napoli Federico II

      Python: Istruzioni per l’uso

      Skills you'll gain: Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Reproducible Templates for Analysis and Dissemination : Emory University
    • Providing Technical Support for AWS Workloads: Amazon Web Services
    • Interventions and Calibration: Imperial College London
    • Advanced C# Programming in .NET Core: EDUCBA
    • GenAI for Product Managers: Coursera Instructor Network
    • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
    • Data Visualization: Ball State University
    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • C Programming: Pointers and Memory Management - 4: Dartmouth College
    • Embedded C Programming Essentials: EDUCBA

    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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