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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

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      187 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      344 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Embedded Software Development with C

      Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Development Environment, System Programming, Data Structures, Hardware Troubleshooting, Microarchitecture, Programming Principles, Performance Tuning, Computer Architecture, C++ (Programming Language), Hardware Architecture, Computer Hardware, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      180 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Advanced Django: Mastering Django and Django Rest Framework

      Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, React.js, Authorization (Computing), Secure Coding, PostgreSQL, Object-Relational Mapping, API Design, Model View Controller, Scalability, Application Frameworks, JSON, Full-Stack Web Development, Development Testing, Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      155 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Django Features and Libraries

      Skills you'll gain: Application Deployment, Django (Web Framework), Application Development, Web Development, Web Applications, Object-Relational Mapping, Database Design, Data Modeling, Authentications, User Accounts, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      394 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      C++程序设计

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, C (Programming Language), Software Design Patterns, File Management, Data Structures, Algorithms, Maintainability, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      812 reviews

      Mixed · Course · 1 - 3 Months

    • 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
      ·
      159 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Methods, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Programming Principles, Pandas (Python Package), Python Programming, NumPy, Data Manipulation, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Intro to Operating Systems 1: Virtualization

      Skills you'll gain: OS Process Management, Operating Systems, C (Programming Language), System Programming, Virtualization, Virtual Machines, Programming Principles, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Data Integrity

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Relations and Functions

      Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…212223…47

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

    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Intellectual Property in the Healthcare Industry: University of Pennsylvania
    • Pointers, Arrays, and Recursion: Duke University
    • Embedded Software Development with C: EDUCBA
    • Advanced Django: Mastering Django and Django Rest Framework: Codio
    • Django Features and Libraries: University of Michigan
    • C++程序设计: Peking University
    • Mastering Laravel Framework and PHP: Board Infinity
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • Intro to Operating Systems 1: Virtualization: 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

    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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