R Programming Tutorial

This tutorial takes course material from DataCamp's Introduction to R course and allows you to practice data frames.

In this tutorial, you'll learn how to make the most of ggplots facetting functions.

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!

In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.

Practice Lists in R by using course material from DataCamp's Intro to R course.

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.

When you know how many times you want to repeat an action, a for loop is a good option. Master for loops with this tutorial.

In this tutorial, you'll learn what Markov chain is and use it to analyze sales velocity data in R.

Learn how to detect anomalies in large time series data sets and present insights in a much simpler way.

Learn how to perform computational and statistical analysis on the results of your biological experiment.

In this tutorial, you'll try to gain a high-level understanding of how SVMs work and then implement them using R.