R Programming

R Programming is a widely-used language for statistical computing and graphics, providing a wide variety of statistical techniques such as linear and nonlinear modeling, classical statistical tests, time-series analysis, and more. Coursera's R Programming catalogue teaches you how to manipulate, analyze, and visualize data using R. You'll learn how to prepare, explore, and model data, make predictions using machine learning algorithms, and create high quality graphics for data visualization. This knowledge will serve you in fields like data science, statistics, machine learning, and other data-driven professions. You'll also master the use of key R packages, making your data analysis more efficient and effective.
45credentials
2online degrees
175courses

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Explore the R Programming Course Catalog

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Programming Principles, Data Structures, Performance Tuning, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    22K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google

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

    4.8
    Rating, 4.8 out of 5 stars
    12K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    581 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Microsoft

    Skills you'll gain: Microsoft Visual Studio, Debugging, R Programming, Data Structures, Programming Principles, Statistical Programming, Development Environment, Data Manipulation, Integrated Development Environments, Data Transformation, Scripting Languages, Scripting, Software Installation

    Beginner · Course · 1 - 4 Weeks

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  • Status: Free Trial

    IBM

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Predictive Modeling, Statistical Modeling, Feature Engineering, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    340 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    Microsoft

    Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Shiny (R Package), Data Cleansing, Data Visualization, Data Wrangling, Software Documentation, R Programming, Microsoft Copilot

    4.5
    Rating, 4.5 out of 5 stars
    6 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Integrated Development Environments, Programming Principles, Data Manipulation, Data Structures, Software Documentation, Software Design Patterns, Performance Tuning

    4.2
    Rating, 4.2 out of 5 stars
    574 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera Project Network

    Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    383 reviews

    Beginner · Guided Project · Less Than 2 Hours