Arne Jonas Warnke

Head Of Emerging Curriculum @ DataCamp

About Arne Jonas Warnke

Arne Jonas Warnke serves as the Head of Emerging Curriculum at DataCamp, where he focuses on developing advanced curriculum content in data science and machine learning. He has a diverse background in research and data science, having worked at institutions such as ZEW, BASF, and OECD, and he holds multiple degrees in mathematics and economics.

Work at DataCamp

Arne Jonas Warnke serves as the Head of Emerging Curriculum at DataCamp, a position he has held since 2022. In this role, he is responsible for developing curriculum content in advanced topics, including MLOps, Julia, Docker, and Cloud. His work focuses on enhancing the educational offerings related to data science and machine learning, ensuring that the curriculum meets the evolving needs of learners in these fields.

Previous Experience

Before joining DataCamp, Warnke worked at BASF as a Data Scientist Manager from 2017 to 2022. He also held the position of Researcher at ZEW - Leibniz Centre for European Economic Research from 2011 to 2017. Additionally, he served as a Senior Researcher at The Lisbon Council and as a Visiting Researcher at OECD in 2011. His diverse experience spans various roles in research and data science across Europe.

Education and Expertise

Arne Jonas Warnke has a strong academic background in mathematics and economics. He studied at Christian-Albrechts-Universität zu Kiel, where he achieved a Diplom in 2004. He also studied Wirtschaftsmathematik at the University of Karlsruhe from 2004 to 2009. He completed his doctoral studies in Economics and Statistics at Albert-Ludwigs-Universität Freiburg im Breisgau, earning a Dr. rer. pol. from 2013 to 2017. His expertise lies in statistics and machine learning, particularly in addressing real-world data challenges.

Teaching and Engagement

In addition to his role at DataCamp, Warnke has been a Lecturer at Heidelberg University since 2013. He engages in teaching and advancing knowledge in data science and machine learning, contributing to the academic community and fostering the next generation of data professionals.

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