Gui Diaz-Berrio

Gui Diaz-Berrio

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Gui Diaz-Berrio has led marketing measurement at companies spending €100M+ on advertising, including Kindred Group (Head of Marketing Analytics) and enterprise clients through Pinemarsh Consulting. He's built models from scratch and managed vendor relationships — both perspectives taught in this course.

Author of "Data Analytics for Marketing with Python" (Packt, 2024) — covering the practical frameworks taught in this course.

He's faced the challenges you're dealing with — messy data, skeptical CFOs, vendor black boxes, and the pressure to prove ROI with limited experimentation budget.

Previously at
Just-Eat.co.uk
FDJ UNITED
@Packtpub
BMW Group

Alumni reviews

I did learn a lot in this course. The course is super practical and I would strongly recommend for anyone working in marketing science. Many thanks!
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lenin

Cohort - June
ML Engineer / Data Scientist · Capgemini
This course exceeded my expectations. The content was well-structured and clearly explained, with a strong statistical foundation that alone makes it worth it. But what really set it apart was how it combined that rigor with critical thinking about marketing measurement, understanding both the techniques and the assumptions that make them credible. Highly recommended for anyone who wants to truly understand what drives reliable marketing campaign decisions.

Emilia

Cohort - June
Data analyst · -
The perfect blend of robust MMM and cutting-edge AI. I highly recommend this course to any data analyst looking to level up their measurement skills. The curriculum is exceptionally well-structured, moving logically through complex topics like attribution and incrementality. What truly sets this bootcamp apart is the integration of AI agentic workflows. It bridges the gap between foundational data science and the future of automated, intelligent marketing mix modeling. It’s practical, highly relevant, and gives you the exact toolkit needed for modern marketing science.

Mingjie

Cohort - May
data analyst · FDJ Group
A very unique and comprehensive course. Anyone working on the marketing science space should take this. Indepth and rigorous . Highly recommend.
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Swati

Cohort - May
Researcher · Google
It was interesting and in some cases very useful in my real MMM projects
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Tatiana

Cohort - May
ML analyst · Allformance