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.
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Explore the R Programming Course Catalog

  • Status: Free Trial

    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

  • Status: Free Trial

    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

  • Status: New
    Status: Preview

    Skills you'll gain: Data-Driven Decision-Making, Statistical Modeling, Predictive Modeling, Regression Analysis, R Programming, Data Analysis, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)

  • 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

  • Status: New
    Status: Preview

    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

What brings you to Coursera today?

  • Status: New
    Status: Free Trial

    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

  • 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

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Data Presentation, SQL, Plot (Graphics), Databases, Leaflet (Software), Data Manipulation, Web Scraping, R Programming

  • 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

  • Status: Free Trial

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Statistical Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Data Wrangling, Communication

  • Status: Free Trial

    Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Data Manipulation, Data Science, Data Analysis

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