Thinkful Blog Demonstrating A/B Testing Skills as Data Scientists

A/B testing, also known as split testing, is a crucial experimental method in data science used to evaluate and compare two or more versions of a webpage, app feature, or marketing campaign to determine which one performs better in achieving a specific goal, such as increasing conversions or click-through