Skip to main content
HomeCode-alongsData Analysis

A/B Testing in R

Compare the performance of two groups with this introduction to A/B testing in R
Feb 2023
Code along with us onCode Along

A/B testing is a type of data experiment. It is an important tool for product and marketing teams for comparing two versions of features or content to see which is best. This live training provides an introduction to A/B testing in R, showing how you can compare the performance of two groups and determine whether or not your data experiment is a success.

We will be using DataLab. All you need is a DataCamp account. Note that members of some enterprise groups do not yet have access to use DataLab. Create a free DataCamp account with your personal email address to follow along.

We recommend that you have taken the following course before attending:

Related cheat sheet:



Data Demystified: What is A/B Testing?

In part seven of data demystified, we’ll break down one of the most common use cases of statistical analysis in data science: A/B testing.
Richie Cotton's photo

Richie Cotton

10 min


T-tests in R Tutorial: Learn How to Conduct T-Tests

Determine if there is a significant difference between the means of the two groups using t.test() in R.
Abid Ali Awan's photo

Abid Ali Awan

10 min


Introduction to Bioconductor

Learn how to perform computational and statistical analysis on the results of your biological experiment.
Minoo Ashtiani's photo

Minoo Ashtiani

16 min


Survival Analysis in R For Beginners

In this tutorial, you'll learn about the statistical concepts behind survival analysis and you'll implement a real-world application of these methods in R.

Daniel Schütte

15 min


Sorting Data in R

How to sort a data frame in R.
DataCamp Team's photo

DataCamp Team

2 min


Exploratory Data Analysis in R for Absolute Beginners

Learn the basics of exploring new datasets in R.
Ishmael Rico's photo

Ishmael Rico

See MoreSee More