함께 코드 따라하기
코드 따라하기 ↗A/B Testing in R
Compare the performance of two groups with this introduction to A/B testing in R
Arne Warnke
무료 계정 만들기
실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련

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

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:
Intermediate R
Related cheat sheet:
Descriptive Statistics cheat sheet