Course overview
This course explains how to apply AI to data analysis: crafting effective prompts, assessing data quality, deriving insights, and prototyping dashboards and narratives. It culminates in a final AI‑oriented analysis project and includes 26 hands‑on exercises.
Introduction to augmenting the analyst with AI and techniques for writing and decomposing prompts (including the GCSE approach).
Hands‑on data exploration: assessing data quality, querying for duplicates and interrogating an example dataset (coffee data).
From insight to action: using AI to create dashboards, translate interviews into user stories, and prototype iterative visual narratives.
Final project: deliver a full AI‑oriented analysis, define a pressing problem, identify what a category manager would use, and verify a key finding.
Skills and topics covered
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