perform an A/B Test for an ad campaign using python

提供方
Coursera Project Network
在此免費的指導 項目中,您將:

Set up hypothesis testing

Perform an A/B Test

在面試中展現此實踐經驗

Clock2 hours
Beginner面向初學者
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

By the end of this project, you will be able to apply statistics to perform an A/B Test for an ad campaign using python. A/B Testing is widely used by digital marketing agencies as it is the most effective mean to determine the best content to convert visits into sign-ups and purchases. Throughout the project, you will be able to set up hypothesis testing to advise a digital marketing agency that designed a new ad for their client on whether they should go for the new ad or not. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

必備條件

Familiarity with basic Python coding and statistical knowledge

您要培養的技能

A/B TestingPython ProgrammingData AnalysisStatistical Hypothesis TestingStatistics

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Load the dataset that we will work on

  2. Find insights in our data set up hypothesis testing

  3. compute the difference in the click through rate

  4. create sample distribution using bootstrapping

  5. evaluate the null hypothesis and draw conclusions.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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