AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
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New York City
Stefan has applied data science to business, investment and policy decisions since 2001. He has built an early warning system for financial crises, and worked as advisor to Central Banks and the World Bank before moving into fintech, where he focused on data-driven product and market strategy at Rêv Worldwide, a payments tech company with operations in 15 countries. In 2013, he co-founded Infusive Ltd, a global consumer good investment company, and built the investment intelligence and predictive analytics capabilities behind several equity funds and VC investments. He also founded Applied AI that leverages ML algorithms for the finance and consumer industries, and co-founded Digital Natives to introduce state-of-the-art technology education in Mexico.
Stefan mostly uses Python for data science, machine learning and web development, alongside SQL, R and Stata, as well as the Hadoop stack and Spark when the data gets bigger. He holds Master degrees in Quantitative Economics from the Free University of Berlin and Harvard University, is a CFA Charterholder, and has worked in six (natural) languages.
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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