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.
2credentials
5courses

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a £55,572 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 £55,572 median salary ¹.

    Offered by

    Microsoft_logo
    IBM_logo
    Johns Hopkins University_logo
  • This role has a £40,407 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 £40,407 median salary ¹.

    Offered by

    Meta_logo
    IBM_logo
    DeepLearning.AI_logo

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

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

Learning Product
Required

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.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the R Programming Course Catalog

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

  • Status: Free Trial

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

  • Status: Free Trial

    ESSEC Business School

    Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Advanced Analytics, Statistical Analysis, People Analytics, Statistical Programming, Data Storytelling, Business Strategy, Complex Problem Solving, R Programming, Data Analysis

  • Status: Preview

    The State University of New York

    Skills you'll gain: Bioinformatics, Big Data, Analytics, Data Mining, Health Informatics, Biomedical Technology, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Network Analysis, Unsupervised Learning

  • 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: Free Trial

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

What brings you to Coursera today?

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

What brings you to Coursera today?

Leading partners

  • Johns Hopkins University
  • ESSEC Business School
  • The State University of New York
  • University of California, Santa Cruz