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.
In 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.
This 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.
The 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.
A final lecture to congratulate you on the progress you have made and recommend the next steps on your journey to become a data scientist.
Student feedback
“I am a data scientist who has worked on over 100 A/B tests for big digital companies that have hundreds of millions of monthly users. In this course, I would like to share my experience with you on how to define, start, analyze, and present the results of an A/B test. We will discuss everything from the beginning to the end including some advanced considerations you need to be aware of to A/B test successfully.”
Worked at King
A/B Testing in Python
with Anastasia Kuznetsova
