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 Programming Course Catalog

  • 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
    777 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    ESSEC Business School

    Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Advanced Analytics, Statistical Analysis, People Analytics, Statistical Programming, Data Storytelling, Business Strategy, Complex Problem Solving, R Programming, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    1.3K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    188 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    The State University of New York

    Skills you'll gain: Bioinformatics, Big Data, Analytics, Data Mining, Health Informatics, Biomedical Technology, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Network Analysis, Unsupervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    285 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
    103 reviews

    Advanced · Course · 1 - 4 Weeks

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  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

    Advanced · Course · 1 - 4 Weeks