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Data science aims at understanding statistical data characteristics and generation of data-driven descriptive and predictive models for practical applications in specific domains. Data science workflows involve a variety of steps including data collection, exploration, cleaning, feature extraction, model estimation, evaluation and visualisation. Creation of data science workflows requires theoretical and practical knowledge in statistics, programming, machine learning and big data management.

In winter semester 2020/2021 we offer the following data science courses:


Introduction to Data Science (Einführung in die Data Science)


Seminar Advanced Topics in Data Science: Spatio-Temporal Data Analytics

Lab Data Science in Practice: Spatio-Temporal Data Analytics


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