Communicating Data Science Results

This module introduces the significance of visualization in data science, covering topics such as effective visual encoding, preattentive processing, and the evaluation of visualizations. Participants will gain a deep understanding of the role of visualization in communicating data findings.

Delve into the ethical considerations and privacy issues prevalent in data science. Participants will explore real-world examples, formalized privacy problems, and the concept of differential privacy, gaining insights into the ethical responsibilities of data scientists.

This module focuses on the vital aspect of reproducibility in data science and the role of cloud computing in enabling reproducible research. Participants will gain knowledge about the advantages of cloud computing for complex computational infrastructures and big data analysis.