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: Tidyverse (R Package), Data Wrangling, R (Software), Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    53 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview

    Eindhoven University of Technology

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    799 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistics, Data Manipulation, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    53 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado System

    Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Health Insurance Portability And Accountability Act (HIPAA) Compliance, R Programming, Medical Privacy, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, SQL, Data Access

    4.5
    Rating, 4.5 out of 5 stars
    422 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Datamaps, Interactive Data Visualization, Scatter Plots, Histogram, Graphic and Visual Design, R Programming, Geographic Information Systems

    3.9
    Rating, 3.9 out of 5 stars
    158 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    199 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Coursera

    Skills you'll gain: Data Storytelling, Qualitative Research, Market Research, Quantitative Research, Data-Driven Decision-Making, Benchmarking, Data Presentation, Descriptive Statistics, Competitive Analysis, Analytical Skills, Research Design, Market Dynamics, Data Analysis, Data Visualization Software, Statistical Reporting, Statistics, Data Collection, Data Analysis Software, Microsoft Excel, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    93 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview

    Universiteit Leiden

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Modeling, Data Cleansing, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    45 reviews

    Beginner · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

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