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.
46credentials
2online degrees
175courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the R Programming Course Catalog

  • Status: New
    Status: Free Trial

    Case Western Reserve University

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

  • Status: Preview

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Transformation, Data Science, Data Integration

  • Status: New
    Status: Preview

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Shiny (R Package), Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Ggplot2, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Tidyverse (R Package), Data Analysis, Application Programming Interface (API)

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Statistical Analysis, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Informed Consent, Information Privacy

  • Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Collection, Applied Machine Learning, R Programming, Research, Supervised Learning, Data Validation, Technical Communication, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Applied Machine Learning, Statistical Machine Learning, Regression Analysis, Statistical Methods, Data Science, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Artificial Neural Networks, R Programming, Dimensionality Reduction, Unsupervised Learning, Probability & Statistics, Decision Tree Learning, Machine Learning, Advanced Analytics, Sampling (Statistics), Statistical Inference

  • Status: New
    Status: Free Trial

    Skills you'll gain: Bayesian Statistics, Machine Learning Algorithms, Statistical Analysis, Statistical Inference, Data Visualization, Data Analysis, Regression Analysis, Data Cleansing, Analytics, Statistical Modeling, Machine Learning, Statistical Software, R Programming, Data Science, Statistical Programming, Statistical Methods, R (Software), Data Validation, Data Manipulation, Exploratory Data Analysis

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Collaborative Software, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Data Collection, LLM Application, Behavioral Economics, Analytics

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis

  • Status: Free

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Revenue Management, Forecasting, Business Strategy, Demand Planning, Machine Learning