Overview

How to turn data into a story a stakeholder can act on. Covers transforming data for effective visualisation, building analytical narratives, critiquing visual representations, and using unsupervised machine learning to make sense of unlabelled data.

Topics covered

• Data transformation for visualisation
• Chart design and narrative structure
• Critique and ethics of visual representations
• Unsupervised ML for unlabelled data

Key assignments

• [Assignment 1, fill in with what you actually built]
• [Assignment 2, tool used, outcome, your contribution]

Takeaways

[What stuck with you. What you'd apply elsewhere. Fill in once you've wrapped the paper.]