For anyone who works with predictive models, whether you use them, rely on them, or build them yourself. Data Scientists, ML/AI Engineers, Product Analysts, and anyone who thinks deeply about data.
What you’ll walk away with
Core ideas of causal inference you can apply to real marketing scenarios, especially when machine learning falls short and you need to understand what actually caused what.
"Two big reasons why causal inference is a must-have for anyone working with data.
First, data-driven decisions are rarely simple — there are always multiple factors at play. CI helps you measure the real impact of your choices, not just spot correlations.
Second, if you’re someone who always asks “why?”, CI is your kind of tool. Its entire purpose is to uncover the why behind the data."
Aleix Ruiz de Villa
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Pg. de Gràcia 54, 9th floor, Eixample Barcelona, Spain