Building a Data Analytics Agent using LLMs

Build Your Own LLM Powered Data Analytics Agent — Using Free & Open-Source Tools

As large language models continue to reshape the data landscape, one of the most exciting applications is creating intelligent data analytics assistants that make querying and exploring data as simple as asking a question. In this hands-on session, you’ll learn how to build your own interactive assistant using free, open-source tools — no paid licenses or proprietary systems required.

We’ll guide you through connecting your data to a language model to enable natural language queries that return automated insights, visualizations, and summaries. Whether you’re a data analyst, business user, or enthusiast, this session will help you turn static datasets into dynamic, conversational experiences.

You’ll also see a live demo of an AI-powered agent processing queries, performing analysis, and returning visual insights — with minimal setup and no complex coding. We’ll share practical design tips to make your assistant more reliable, interpretable, and scalable.

What We Will Cover:

• Understand how LLMs are transforming data analytics workflows, from dashboards to conversational interfaces

• Learn how to build a data analytics agent with LLMs using free, open-source tools

• See a live demo of an LLM-powered agent responding to user queries and generating real-time insights and visualizations

• Explore real-world applications of LLM analytics agents in business intelligence, reporting, and decision support

• Discover practical strategies for scaling your LLM-based data assistant across different data types and user roles

• Interactive Element: Through live demos and audience Q&A, participants will gain hands-on experience building LLM analytics agents, and leave with the tools and framework to start building their own immediately.