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
176courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Complete graduate-level learning without committing to a full degree program.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the R Statistics Course Catalog

  • Status: Free Trial

    Skills you'll gain: Risk Modeling, Financial Market, Risk Management, Market Data, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Securities Trading, Estimation, Statistical Modeling

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

  • Status: Free Trial

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Linear Algebra

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Ggplot2, Data Visualization Software, Plot (Graphics), R Programming, Data Manipulation, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Programming, Integrated Development Environments, Data Import/Export, Software Installation

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Data Transformation

  • Status: Preview

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Transformation, Data Science, Data Integration

  • Status: Free Trial

    Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, R Programming, Predictive Modeling, Statistical Analysis, Feature Engineering, Probability & Statistics, Data Wrangling, Statistical Inference, R (Software), Data Cleansing, Public Health

  • Status: Preview

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data

  • Duke University

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a $146,304 median salary ¹.

    description:

    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

    This role has a $146,304 median salary ¹.

    Offered by

    Microsoft_logo
    IBM_logo
    Johns Hopkins University_logo
  • This role has a $97,152 median salary ¹.

    description:

    A Data Analyst collects, cleans, and interprets data, using tools like Excel, SQL, and Tableau to analyze trends and provide insights for decisions.

    This role has a $97,152 median salary ¹.

    Offered by

    Meta_logo
    IBM_logo
    DeepLearning.AI_logo

Most popular

Trending now

New releases

What brings you to Coursera today?

Leading partners

  • Johns Hopkins University
  • University of Colorado Boulder
  • Duke University
  • Microsoft
  • Packt
  • University of Michigan
  • EDUCBA
  • Imperial College London