Data science you need to know! A/B testing
Published in
20 min readJan 28, 2018
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.