NEOPOLIS AKADEMY
Build a conversational AI Data Analyst
Guided practical lab for Data Analysts/BI to build a conversational Data Analyst. Assemble an n8n workflow with an AI agent, connect to Google Sheets or SQL, and implement human validation and control checks using fictional data.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Designed for data analysts and reporting leads, this lab demonstrates how to orchestrate a conversational AI analyst with n8n.
Build the workflow: issue queries, fetch results from Google Sheets or SQL, and let the agent process and enrich outputs.
Emphasis on operational safety: fictional datasets, automated checks and human validation steps to mitigate errors and hallucinations.
STEP BY STEP
Course programme
01Build a conversational AI Data Analyst
Workshop to build a conversational Data Analyst that answers business queries using Google Sheets or SQL. Set up an AI Agent with n8n, connect data sources and manage dialogues to return tables, metrics and simple analyses in natural language.
Goal: design an AI agent that handles analytical queries and returns results from Google Sheets or an SQL database.
Method: prepare the environment, configure an AI Agent in n8n, and progressively wire data sources.
Use case: query KPIs, produce tables or analytical summaries conversationally for business teams.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page