2026-02-18 ~ 2026-02-19 Bring Your Own Data

In this hands-on course, you'll tackle the challenges of your own project. Bring your data, roll up your sleeves, and start solving problems directly related to your work. Whether working individually or in teams, you'll receive expert mentorship and feedback every step of the way. This is not a series of lectures or workshops—it's an opportunity to dive deep into your project and make real progress.

Reiter

About this training

"Bring Your Own Data" Event

Are you working on a data-driven project and looking for expert guidance? Do you have a challenging problem in data science, machine learning, or software development that you want to solve? Or maybe you just want to learn from the best in the field? Whatever your needs, we've got you covered!

For this event, register here on Ilias AND fille the survey to explain your project using this link.

What’s in Store?

During two days days, you'll have the opportunity to bring your own data, ideas, and challenges to the table. Engage in hands-on sessions with experts across a wide range of fields, including:

Python Programming: From basic scripting to advanced development.
Computer Vision: extract information from your scientifc images.
Data Science & Machine Learning: visualize your data, train models.
Natural Language Processing (NLP): extract information from documents, transcribe, translate etc.
High-Performance Computing (HPC): Exploit the university cluster.
Front-End Development: avaScript, HTML, and CSS for dynamic web applications.
Deep Learning: Explore neural networks and other advanced models.
Web Scraping: Automate data collection from the web using Python and TypeScript.

Why Attend?

Collaborate: Work alongside fellow data enthusiasts and professionals in an open and supportive environment.
Expert Access: Get personalized guidance and advice from leading experts in various fields.
Problem Solving: Bring your toughest data challenges and leave with solutions and new insights.
Learning: Expand your knowledge base with cutting-edge techniques and tools.

Who Should Attend?

This event is perfect for data scientists, software developers, researchers, and anyone involved in data-driven projects. Whether you're a beginner looking to learn or an expert seeking to push the boundaries of your knowledge, there's something for everyone.

How to Prepare?

For us to be able to help you the best we can, please fill this survey, where you can explain the project you want to work on, the problems you are facing etc.

Coaches

DSL Team members.

Practical information (time, location ...)

Day 1:

Time : 2026-02-18 09:00-17:00
Location : Room 320, Mittelstrasse 43
Online Participation:

Day 2:

Time : 2026-02-19 09:00-17:00
Location : Room 320, Mittelstrasse 43
Online Participation:

Training language: English
Participants : Max 20
Registraion : Mandatory

About DSL

The Data Science Lab is there to boost your research by supporting you solving computing challenges.
https://www.dsl.unibe.ch/