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: New
    Status: Preview

    Skills you'll gain: Data Manipulation, R Programming, Tidyverse (R Package), Text Mining, Data Wrangling, Data Transformation, Data Cleansing, Performance Tuning, Data Validation

  • Skills you'll gain: Drug Development, Clinical Research, Clinical Trials, Statistical Analysis, Predictive Modeling, R Programming, Data Analysis, Statistical Methods, Health Policy, Data Science, Epidemiology, Healthcare Industry Knowledge, Data Quality, Electronic Medical Record

  • Status: New
    Status: Free Trial

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Statistical Analysis, Data Storytelling, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

  • Status: Free Trial

    Fred Hutchinson Cancer Center

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

  • Status: Free Trial

    Skills you'll gain: Social Determinants Of Health, Health Disparities, Health Equity, Health Policy, Systems Thinking, Health Informatics, Public Health, Community Health, Data Analysis, Socioeconomics, R Programming, Data Visualization

  • Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis

  • Status: Preview

    Skills you'll gain: Bioinformatics, Molecular Biology, R Programming, Statistical Analysis, Command-Line Interface, Linux

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Probability Distribution, Statistical Software, Statistics, R (Software), Data Visualization, Statistical Analysis, Probability, R Programming, Probability & Statistics, Data Manipulation, Histogram, Taxonomy, Data Import/Export

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation

  • Status: Preview

    Fundação Instituto de Administração

    Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Big Data, Data Mining, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Marketing, Unsupervised Learning, Machine Learning Algorithms, Business Strategy, Statistical Modeling, Consumer Behaviour, Data Visualization

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Data Quality, Data Management, Technical Communication

  • Status: Free Trial

    Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Classification And Regression Tree (CART), Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Risk Analysis, Descriptive Statistics

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