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
2online degrees
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Explore the R Programming Course Catalog

  • Status: Free Trial

    Johns Hopkins University

    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

    4.8
    Rating, 4.8 out of 5 stars
    440 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Colorado Boulder

    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

    4.1
    Rating, 4.1 out of 5 stars
    54 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

    4.6
    Rating, 4.6 out of 5 stars
    266 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Wrangling, Data Transformation, Software Installation, Programming Principles, Software Documentation

    4.3
    Rating, 4.3 out of 5 stars
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial

    Packt

    Skills you'll gain: Rmarkdown, Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Web Scraping, Interactive Data Visualization, Data Visualization Software, Tidyverse (R Package), Data Cleansing, Data Transformation, Statistical Programming, Programming Principles, Data Structures

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Analytical Skills, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    88 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Web Scraping, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Data Analysis, Responsible AI, Data Transformation, Statistical Methods, Data Science, Data Wrangling, R Programming, Data Cleansing, GitHub, Data Manipulation, Data Collection, Data Presentation, Version Control

    4.8
    Rating, 4.8 out of 5 stars
    24 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Technical Documentation, Datamaps, Data Cleansing, Interactive Data Visualization, Data Transformation, Scatter Plots, Object Oriented Programming (OOP), GitHub, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    779 reviews

    Advanced · Specialization · 3 - 6 Months