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: New
    Status: Free Trial

    Microsoft

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

    Beginner · Course · 1 - 3 Months

  • 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

    Mixed · Course · 1 - 3 Months

  • Coursera

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

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free

    Coursera

    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)

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview

    Johns Hopkins University

    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

    Mixed · Course · 1 - 4 Weeks

  • Status: New

    Pearson

    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

    Intermediate · Course · 1 - 4 Weeks

  • 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

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Northeastern University

    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

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Preview

    Ball State University

    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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    National Taiwan University

    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

    Intermediate · Course · 1 - 3 Months

  • 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

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Coursera

    Skills you'll gain: Technical Communication, Technical Product Management, Program Evaluation, Performance Metric, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks