Michael Odenthal is the co-founder and Managing Director of Querifai, a platform for testing and comparing third-party AI services. He supports clients from ideation to building AI-powered data products. Previously, he was Director of Data Strategy & Sourcing at ProSiebenSat.1 Digital Data GmbH, where he implemented AI use cases and managed data scientists. His extensive experience in AI, digital transformation, and media makes him a key leader in data science.
Short Training Course Creating value with Data Science , 2 ECTS
Duration :4 weeks
Workload :
Language :English
Classes start on :-
Price : CHF 1600.-
In a few words
In this module, we explore strategies for monetising data within an organisation. Discover how leveraging data can significantly impact product quality, production costs, and customer experience. Understanding these concepts is crucial for staying competitive in today's data-driven economy. We discuss key principles for identifying data monetisation opportunities, as well as real-world examples of successful strategies.
More informationParticipants will learn to:
Unlock the potential of data to drive revenue and profit in organisations.
Leverage data to impact product quality, production costs, and customer experience.
Learn from existing data-driven business models.
Identify data monetisation opportunities to stay competitive in today's data-driven economy.
Dr Anthony Strittmatter is a Full Professor of Applied Econometrics at UniDistance Suisse in Brig, Switzerland. With over thirteen years of experience in causal inference, machine learning, and quantitative analysis, he brings a wealth of knowledge to data science. Previously, he was a Senior Economist at Amazon's EU Economic Decision Science team, optimising business decisions with data science techniques.
Dr Strittmatter holds a PhD in Economics from the University of St. Gallen. He has taught at École Polytechnique in Paris and HSG St. Gallen, with research supported by the Swiss National Science Foundation and the French Research Council. His numerous publications and conference presentations highlight his expertise.
Why enrol in this programme?
Enrolling in the short-training course in Data Science Leadership programme offers several clear benefits, among them:
Practical Insights and Skills: Study real-world scenarios to understand opportunities and challenges in data-centric organisations.
Effective Leadership and Project Management: Develop skills in project management and team leadership tailored to data-driven environments. Learn to optimise team structures, prioritise projects, and use resources efficiently.
Data-Driven Decision Making: Use data to make decisions that drive business growth and improve performance.
Career Advancement: Gain skills and knowledge that can significantly boost your career as a data science leader.
This programme gives you the skills and confidence to lead data science teams, drive strategic decisions, and help your organisation succeed.
Each module is flexible and can be selected independently, allowing you to build a programme that fits your interests. Learn from experts in both academia and the private sector, providing a complete view of data science leadership.
Any further questions?
Our Continuing Education team is here to help.
