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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

    • B

      Board Infinity

      Mastering Laravel Framework and PHP

      Skills you'll gain: Restful API, Middleware, Secure Coding, Object-Relational Mapping, PHP (Scripting Language), Authentications, Application Security, Database Management, Model View Controller, Relational Databases, Application Frameworks, Back-End Web Development, Web Applications, Data Validation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      162 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Try RRI! A guide for Responsible Research and Innovation

      Skills you'll gain: Science and Research, Research, Experimentation, Risk Management, Innovation, Policty Analysis, Research, and Development, Stakeholder Engagement, Governance, Collaboration, Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      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

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • 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

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • É

      École Polytechnique

      Photovoltaic solar energy

      Skills you'll gain: Data Storage Technologies, Electrical Power, Electrical Systems, Energy and Utilities, Environmental Science, Project Finance, Power Electronics, Semiconductors, Economics, Basic Electrical Systems, Environment and Resource Management, Electrical Engineering, Chemical Engineering, Chemistry

      4.2
      Rating, 4.2 out of 5 stars
      ·
      474 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
      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

    R learners also search

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    1…222324…49

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

    • Mastering Laravel Framework and PHP: Board Infinity
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Try RRI! A guide for Responsible Research and Innovation: University of Amsterdam
    • Precalculus: Relations and Functions: Johns Hopkins University
    • Microsoft R Programming for Everyone: Microsoft
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Developing the SIR Model: Imperial College London
    • Photovoltaic solar energy: École Polytechnique
    • 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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