NEOPOLIS AKADEMY
AI for Data Analysts
Practical introduction to AI-augmented data analysis for data analysts: crafting defensible prompts, data-quality audits, insight validation and dashboard prototyping with local Projector media.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Introduces methods to design transparent, reproducible prompts to produce traceable analyses and transformations.
Explains how to audit data quality and automate basic checks prior to statistical analysis.
Describes the process of validating AI-generated insights and turning them into operational dashboard prototypes.
STEP BY STEP
Course programme
01AI for Data Analysts
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.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page