Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
