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: 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

    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

    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: 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

    EDUCBA

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · 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

    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: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning

    Build toward a degree

    Mixed · Course · 1 - 3 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

    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, Case Studies, Political Sciences

    4.7
    Rating, 4.7 out of 5 stars
    88 reviews

    Intermediate · Specialization · 3 - 6 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

    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

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