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

    Codio

    Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Analytical Skills, Statistical Analysis, R Programming, Data Wrangling

    4.3
    Rating, 4.3 out of 5 stars
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

    4.8
    Rating, 4.8 out of 5 stars
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Data Analysis, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    6.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

    4.9
    Rating, 4.9 out of 5 stars
    79 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data

    4.8
    Rating, 4.8 out of 5 stars
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Statistical Programming, Equities, Regression Analysis, Data Manipulation, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial

    University of Washington

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Data Presentation, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Predictive Analytics, Statistical Modeling, R Programming, Data Analysis, SQL, Predictive Modeling, Data Processing, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    920 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

    4.9
    Rating, 4.9 out of 5 stars
    130 reviews

    Intermediate · Course · 1 - 4 Weeks