A/B Testing in Python

A/B Testing in Python course. A/B testing is a tool that helps companies make reliable decisions based on data. This is one of the basic skills you need to get a job as a data scientist or data analyst. Do you want to be a data scientist or a data analyst? If you do, this is the perfect course for you! Your mentor Anastasia is a Senior Data Scientist working at a music streaming startup based in Stockholm. He holds two Master’s degrees in Business Intelligence and Computer Science, and has recently risen to the position of Master within 3 years of graduation. Anastasia has done a significant amount of A/B testing for large tech companies with hundreds of millions of monthly users. By participating in this course, you will learn how to: · Define A/B testing · Start A/B testing · Analyze the results of an A/B test on your own During the learning journey, Anastasia guides you through an A/B testing process for a fictional company with a digital product. This case study unfolds throughout the course, touching on everything from the very beginning of the A/B testing process to the end, including some advanced considerations. Additionally, Anastasia takes some time to share her advice on how to prepare for A/B test interview questions for a data scientist or data analyst position. One of the strengths that sets it apart from statistical textbooks and theoretical tutorials is that the A/B Testing in Python course teaches you how to design A/B tests for digital products that have millions or hundreds of millions of users. . This is a rare overview of the A/B testing process from a business, technical, and data analysis perspective. This course is perfect for you if: – A data science student who wants to learn one of the basic skills needed on the job – Junior data scientists with no A/B testing experience – Software developers and product managers who want to learn how to run A/B tests in their company to improve the product they build. You’ll learn a valuable skill that can transform a company’s business (and your career along the way).