Why Causal Inference Matters: From Marketing to Policy

Many of the most important questions in business, product development, and public policy come down to one thing: Did certain actions actually cause a change in outcomes?

In this video, Udacity instructor and Senior Data Scientist Jonathan Hershaff explores why causal inference is such a powerful tool. You’ll see examples across:
--Marketing: Did promo codes drive new purchases or just discount existing buyers?
--Product Development: Did a new feature truly boost engagement, or was it just used by your most active users?
--Public Policy: Did raising the minimum wage actually change employment outcomes?

Causal questions aren’t just interesting—they’re actionable. Learn how causal inference can transform data into better decisions in our Business Analytics Nanodegree programs:
Business Analytics with Tableau: https://www.udacity.com/course/busine...
Business Analytics with PowerBI: https://www.udacity.com/course/busine...