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Learn R Programming Language online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
80 courses
Harvard University
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Harvard University
Learn basic data visualization principles and how to apply them using ggplot2.
Harvard University
Show what you've learned from the Professional Certificate Program in Data Science.
Harvard University
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
Harvard University
Learn to process and convert raw data into formats needed for analysis.
Harvard University
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
Harvard University
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.
Harvard University
A focus on several techniques that are widely used in the analysis of high-dimensional data.
Harvard University
The structure, annotation, normalization, and interpretation of genome scale assays.
Harvard University
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Stanford University
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.
Harvard University
A focus on the techniques commonly used to perform statistical inference on high throughput data.
Harvard University
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Harvard University
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
Harvard University
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Harvard University
Learn to use R programming to apply linear models to analyze data in life sciences.
Stanford University
This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scientists around the world. This course covers an introduction to R, from installation to basic statistic…
Harvard University
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.
The Georgia Institute of Technology
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
