A world-class professional teaches you how to perform A/B test experiments to create real business value and improve product experience.
The A/B Testing in Python course gives you a rare opportunity to learn a skill that’s invaluable to all data scientists. Your instructor, Anastasia Kuznetsova, is a proven expert who works in one of the largest music streaming platforms in the world. In this course, she touches on several practical examples that not only allow you to learn the mechanics of A/B testing but also reinforce your understanding of how these concepts are applied in a real-life working environment.
A/B Testing in Python helps you master fundamental skills every data scientist needs on the job. The materials provide a 360-degree overview of the A/B testing process in a modern data-driven organization.
The first section of the course answers some fundamental questions such as what is A/B testing, which are the key characteristics of an A/B test, how to create an A/B test, and who takes part in the process.
Welcome to the course: meet your instructor Free What is A/B testing and why is it so important? Free The key characteristics of an A/B test Free How to create an A/B test? Who does it? Free How to know if an A/B test was successful? Defining KPIs and metrics Free Calculation of metrics in practice: Kittengram FreeIn this part of the course, we will go through a complete practical example that shows you how a fictional company called Kittengram can benefit of A/B testing and which are some of the metrics they will use to monitor business performance.
Data instrumentation and tracking How to calculate metrics from raw datasets Designing the experiment How to set up the A/B test What is statistical significance? Calculating the sample size of an A/B test Example of significance power calculator A/B test - start & analysis How to present the results of an A/B test A/B test analysis process Comparing the activity between the groupsThis section covers some important considerations on advanced A/B testing situations such as how to run multiple A/B tests simultaneously and how to ensure your A/B test is ethical from a user privacy perspective.
Advanced A/B testing considerations How to A/B test ethicallyThe course instructor will share with you how to pass successfully the A/B test part of the data science interview. This section will prove invaluable to those of you who are looking for their first job in the field of data science.
Introduction Question 1 Question 2 Question 3 Question 4 Question 5 How to prepare for the interviewA final lecture to congratulate you on the progress you have made and recommend the next steps on your journey to become a data scientist.
Conclusionwith Anastasia Kuznetsova
