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

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Set up hypothesis testing

Perform an A/B Test

Clock2 hours
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

  • A/B Testing
  • Python Programming
  • Data Analysis
  • Statistical Hypothesis Testing
  • Statistics

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.