Core topics by TOP-IX:

• Programming with Python (data structures, control flow, functions, …)
• Setting up and usage of Jupyter Notebooks for data projects
• Key statistics concepts with NumPy
• Handling different data formats with pandas
• Using Matplotlib and Seaborn for data visualizations
• Basic Machine Learning with Scikit Learn
• Fundamental steps to create your data science project and maximize its impact

Guest lectures:

• GIS and Geopandas by FBK
• Timeseries and KNIME by Target Research

Core topics by TODO:

• Foundations and best practices of information theory and data communication applied to a data project.
• Understanding the different Data Visualization approaches
• Coding for DataViz with D3.js programming paradigm
• Introduction to Vega Framework
• Prototyping effective data visualizations following the design process and best practices of data visualization theory

Guest lectures:

• Data Communication by TOP-IX
• Open Data and DataViz by Sheldon Studio
• Visualizing Data and case studies by Accurat