This workshop introduces a practical, low-code approach to working with data, designed for people without a data science background. Using Julius.ai as an example platform, we explore how AI can help make data exploration, pattern discovery, visualization, and interpretation more accessible, so you can work with data confidently without deep technical skills.
If you want to continue using Julius after the Workshop, you can use this code for a 50% discount on paid plans: STUDY2025
Event page: PyLadies Hamburg Meetup
Livestream: YouTube – Watch Here
Julius AI Platform: https://julius.ai/
This repository contains all materials we use in the workshop.
They are written as clear, practical references during the session and for later use.
This is the central reference.
It walks through the full data workflow step by step and provides example prompts you can try directly in Julius.
Use it as your guide for understanding how to move from a question to an insight.
A short guide for getting started.
It explains how to access Julius for the workshop, upload the provided files, and open the exercise notebook.
A collection of example questions, small tasks, and explanations of key data concepts.
It helps you explore the dataset on your own and practice asking clear, meaningful questions in Julius.
An orientation guide to the Julius platform.
It introduces the main areas of the interface — chats, notebooks, dashboards, files, data connectors, and templates — so you know where everything is and what each part is used for.
All materials are also available as PDFs in the PDF_Downloads folder for offline use.
Included:
ds_workflow.pdf
Exploration_guide.pdf
julius_ai_platform_overview.pdf
This workshop is designed to make data exploration accessible and practical, even without a technical background.
Use these materials as references during the session and later when you continue experimenting.
We’re glad to have you here and hope you enjoy the workshop.