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.
44credentials
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Explore the R Programming Course Catalog

  • Status: Free Trial

    Johns Hopkins University

    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, R Programming, Machine Learning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    31 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free

    Coursera

    Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Tidyverse (R Package), Risk Modeling, Application Deployment, Advanced Analytics, Data Import/Export, Machine Learning Methods, Data Presentation, Interactive Data Visualization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Radiology, Data Processing, Scientific Visualization, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    314 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control

    4.6
    Rating, 4.6 out of 5 stars
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)

    4.7
    Rating, 4.7 out of 5 stars
    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R (Software), R Programming, Data Mapping, Statistical Reporting, Web Applications, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    525 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours