A/B Testing in Python

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This is one of the fundamental skills you need to land a job as a data scientist or data analyst.
Do you want to become a data scientist or a data analyst
If you do, this is the perfect course for you!
Your instructor Anastasia is a senior data scientist working at a Stockholm-based music streaming startup. She has earned two Master's degrees in Business Intelligence and Computer Science, and grown from a recent graduate to a Senior role in just 3 years. Anastasia has performed a significant number of A/B tests for large tech companies with hundreds of millions monthly users.
By taking this course, you will learn how to
· Define an A/B test
· Start an A/B test
· Analyse the results of an A/B test on your own
Along your learning journey Anastasia will walk you through an A/B testing process for a fictional company with a digital product. This case study unfolds throughout the course and touches on everything from the very bning of the A/B testing process to the very end including some advanced considerations. Moreover, Anastasia takes some to share with you her advice on how to prepare for the questions on the A/B test interview for a data scientist or data analyst position.
One strong point of differentiation from statistical textbooks and theoretical trainings is that these learning materials will teach you how to design A/B tests for digital products that have millions or hundreds of millions of users. It is a rare overview of the A/B testing process from a business, technical, and data analysis perspective.
This is the perfect course for you if you are
- a data science student who wants to learn one of the fundamental skills needed on the job
- junior data scientists with no experience with A/B testing
- software developers and product managers who want to learn how to run A/B tests in their company to improve the product they are building
You will learn an invaluable skill that can transform a company's business (and your career along the way).

Junior data scientists with no experience in A/B testing
Data science students with no working experience
Software developers
Product managers






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