Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
