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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 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
      U

      University of California, Davis

      Principles of Secure Coding

      Skills you'll gain: Secure Coding, Application Security, Software Design, Programming Principles, Debugging, Program Development, Computer Programming, C (Programming Language), Software Development Methodologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      367 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics: Communicating with Data

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Collection, Data Quality, Business Analytics, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Communication, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      629 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EDUCBA

      IoT Enabled Farming

      Skills you'll gain: Internet Of Things, Big Data, Data Management, Wireless Networks, Predictive Analytics, Emerging Technologies, Data-Driven Decision-Making, Real Time Data, Automation, Environmental Science, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Interacting with the System and Managing Memory

      Skills you'll gain: Maintainability, Program Development, C (Programming Language), Software Engineering, System Programming, Programming Principles, Software Development, Simulations, Command-Line Interface, Operating Systems, User Interface (UI), Data Structures, Debugging, Data Import/Export, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      129 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Developing the SIR Model

      Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • M

      McMaster University

      Experimentation for Improvement

      Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Process Improvement and Optimization, Regression Analysis, Statistical Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      922 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Capstone

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Science, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      .NET Core Mastery: Advanced Techniques for Exp Developers

      Skills you'll gain: Load Balancing, ASP.NET, Test Driven Development (TDD), Debugging, C# (Programming Language), Software Testing, Scalability, Performance Testing, Restful API, Unit Testing, Microservices, .NET Framework, Object-Relational Mapping, Software Architecture, Web Applications, User Accounts, Data Integrity, Object Oriented Design, Distributed Computing, Redis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      176 reviews

      Intermediate · Specialization · 3 - 6 Months

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

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

    • Intellectual Property in the Healthcare Industry: University of Pennsylvania
    • Principles of Secure Coding: University of California, Davis
    • Introduction to Business Analytics: Communicating with Data : University of Illinois Urbana-Champaign
    • IoT Enabled Farming: EDUCBA
    • Interacting with the System and Managing Memory: Duke University
    • Arm Cortex-M Processors Overview: Arm
    • Developing the SIR Model: Imperial College London
    • Clustering and Classification with Machine Learning in R: Packt
    • Experimentation for Improvement: McMaster University
    • Data Science Capstone: Johns Hopkins 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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