Discover the power of RStudio for data analysis and statistics in this practical, online workshop. Whether you’re an early-career researcher, a PhD student or academic looking to broaden your methods, ...

The course is grouped into (potentially overlapping) sections which do not necessarily need to correspond to workshop days. Depending on your setup, you can either work with these materials locally on ...

R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming ...

R is an open source software for statistical computing and graphics. Join JHU Data Services for this “Introduction to R" workshop. This is for people who want to learn this data analysis tool but have ...

Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...

C# developers who want to wring more meaningful info from large sets of data should get cozy with the statistical computing language known as R. Let's get familiar with R in this new series. The R ...

R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides introduction to R programming basics, such as data ...

The main content of this repository is the set of RMarkdown documents found in content/RMarkdown. You can download and run these yourself in RStudio, making changes ...

The purpose of this course is to introduce students to using the R statistical software to perform basic to intermediate statistical data analysis in a replicable manner. The course will cover the ...

This foundational-level hands-on workshop introduces the basics of working with data using the R language. R provides many ways to query, explore, and visualize data, make models from data, and ...