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
174courses

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Explore the R Programming Course Catalog

  • Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

  • Skills you'll gain: Web Scraping, Relational Databases, Statistical Software, Data Import/Export, R Programming, MySQL, Data Capture, Microsoft Excel

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Radiology, Data Processing, Scientific Visualization, Data Import/Export

  • Status: Free Trial

    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

  • Status: Preview

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Process Optimization, Statistical Methods, Performance Tuning, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

  • Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

  • Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

  • Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

  • Status: Free

    Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Tidyverse (R Package), Risk Modeling, Application Deployment, Advanced Analytics, Data Import/Export, Machine Learning Methods, Data Presentation, Interactive Data Visualization, Machine Learning

  • Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

  • Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Wrangling, Data Cleansing, Data Integration, R Programming

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, A/B Testing, Statistical Hypothesis Testing, Data Analysis, UI/UX Research, R Programming, User Experience, Probability & Statistics, Human Computer Interaction, Statistics, Statistical Modeling, Regression Analysis