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
175courses

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Explore the R Programming Course Catalog

  • Status: Free Trial

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

  • Status: Preview

    University of Maryland, College Park

    Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Statistical Inference

  • Status: New
    Status: Free Trial

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, Statistical Methods, Predictive Modeling, Generative AI, Statistical Inference, Forecasting, Descriptive Statistics, Power BI

  • Skills you'll gain: Bioinformatics, R Programming, Molecular Biology, Data Manipulation, Programming Principles, Data Processing

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

  • Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation

  • Status: New
    Status: Preview

    Skills you'll gain: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting

  • Status: Preview

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

  • Status: New
    Status: Preview

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Methods, Data Visualization, R Programming, Statistical Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytics, Data Analysis, Statistical Hypothesis Testing, Variance Analysis

  • Status: Preview

    Duke University

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

  • Status: New

    Skills you'll gain: Docker (Software), Containerization, CI/CD, Devops Tools, DevOps, R Programming, Application Deployment, Development Environment, Software Installation, YAML, Application Development, Node.JS, Command-Line Interface, System Requirements

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