Data science you need to know! A/B testing

This is part 2 of a 5-part series of posts aiming to quickly introduce some core concepts in data science and data analysis, with a specific focus on areas that I feel are overlooked or treated briefly in other materials.

This post outlines A/B testing, and the steps necessary to plan and build your own robust A/B test.

This post will suit data scientists working in product development, and product managers hoping to communicate better with their data scientists.