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 Statistics Course Catalog

  • Status: New
    Status: Preview

    Microsoft

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Microsoft

    Skills you'll gain: Data Import/Export, Microsoft Visual Studio, Microsoft Excel, R Programming, Data Sharing, Data Processing, Data Cleansing, File Management

    Beginner · Course · 1 - 4 Weeks

  • 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
    441 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    IBM

    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

    4.5
    Rating, 4.5 out of 5 stars
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    7.2K reviews

    Intermediate · Specialization · 3 - 6 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: 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

    Packt

    Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    3.5K reviews

    Intermediate · 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

    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, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
    584 reviews

    Beginner · Course · 1 - 3 Months