Spark sessions

The Spark sessions are a recurring event designed to facilitate the exchange of ideas and inspiration. The event consists of several snappy presentations, followed by a casual gathering with refreshments.

Interested in giving a talk? Apply here!

Our Spark sessions partners

Spark session history

• Spark sessions 007
• Spark sessions 006
• Spark sessions 005
• Spark sessions 004
• Spark sessions 003
• Spark sessions 002
• Spark sessions 001

Workshops

Workshops are organized periodically and on demand (at UL-FRI or on-site). To arrange a workshop or for more information please contact us at datascience@fri.uni-lj.si.

To learn about all upcoming Workshops subscribe to our Newsletter below.

Workshop history

• [Mar 19, 2026] Empowering Users with SQL: A Hands-On Workshop on Snowflake and Practical SQL Usage by Matjaž Vidovič and Tina Vovk
• [Mar 4, 2026] Discovering AI Tools in Azure by Leon Hvastja and Gal Petkovšek
• [Dec 17, 2025] Practical Deterministic Optimization: Maximizing Profit via Optimal Battery Scheduling by Nevena Pivač
• [Nov 13, 2025] Introduction to Machine Learning in PyTorch by Peter Mlakar
• [Oct 22, 2025] Real-Time Streaming Analytics and Machine Learning with Apache Flink by Stefan Popov
• [Jun 18, 2025] Sound Data Science and AI Regulation by Paul Larsen
• [May 28, 2025] SQL: Beyond SELECT * by Dunja Rosina
• [Apr 3, 2025] AB Testing in Gaming: From Idea to Results by Nina Dejak, Luka Rogelj and Sara Krk
• [Mar 5, 2025] Predictive Modelling with Python by Jure Žabkar
• [Jan 15, 2025] AI/LLM Monitoring and Observability with New Relic and OpenTelemetry by Harry Kimpel
• [Dec 17, 2024] Introduction to Machine Learning in PyTorch by Peter Mlakar
• [Nov 28, 2024] Real-Time Streaming Analytics and Machine Learning with Apache Flink by Stefan Popov
• [Oct 3, 2024] Introduction to Network Science in Python (NetPy) by Lovro Šubelj
• [Apr 25, 2024] Predictive Modelling with Python by Jure Žabkar
• [Mar 28, 2024] Introduction to Survival Analysis by Greta Gašparac and Martin Špendl
• [Mar 7, 2024] Recommender Systems with TensorFlow by Martin Jakomin and Jan Hartman
• [Jan 24, 2024] Empowering Users with SQL: A Workshop on Snowflake and Practical SQL Usage by Žane Logar and Andrej Mohorič
• [Dec 6, 2023] LangChain: A Convenient Mess by Andrej Miščič and Luka Vranješ
• [Nov 16, 2023] Introduction to Machine Learning in PyTorch by Peter Mlakar
• [Nov 8, 2023] Streetfight Statistics: Part 2 - Testing Null Hypotheses Like a Pro by Erik Štrumbelj
• [Jul 6, 2023] Streetfight Statistics: Part 1 - Estimating the Mean by Erik Štrumbelj
• [May 24, 2023] Introduction to Time Series Analysis and Forecasting with Python by Martin Možina
• [Apr 5, 2023] Predictive Modelling with Python by Jure Žabkar
• [Mar 29, 2023] Data Science Workshop for Students: From Project Idea to Execution by Luka Vranješ, Andrej Miščič and Greta Gašparac
• [Feb 22, 2023] Recommender Systems with TensorFlow by Martin Jakomin and Jan Hartman
• [Feb 1, 2023] Modern NLP Through Practical Problems by Andrej Miščič and Luka Vranješ
• [Dec 3, 2022] Introduction to Network Science in Python (NetPy) by Lovro Šubelj
• [Nov 30, 2022] Scalable Machine Learning with Dask by Jana Faganeli Pucer
• [Sep 14, 2022] Using Databricks Platform for Data Storage, Analysis and Machine Learning by Tadej Justin
• [May 19, 2022] From Computer Vision to Biometrics by Žiga Emeršič
• [May 12, 2022] Introduction to Actionable Reporting in Power BI by Neža Jeranko and Mark Leškovšek
• [Apr 14, 2022] Dashboarding s Paketom Shiny by Patrik Kojanec, Jana Faganeli Pucer and Matej Pičulin
• [Mar 31, 2022] Razumevanje Negotovosti in Statistično Razmišljanje by Erik Štrumbelj
• [Mar 25, 2022] Predictive Modelling with Python by Jure Žabkar
• [Feb 10, 2022] A/B Test Analysis with R Tidyverse by Martina Starc, Neža Štrus, Miha Gazvoda and Sara Krk
• [Dec 14, 2021] Introduction to Network Science in Python (NetPy) by Lovro Šubelj
• [Nov 12, 2021] Visualising Analytics in Tableau by Matjaž Vidovič
• [May 18, 2021] Recommender Systems with Tensorflow by Martin Jakomin and Jan Hartman
• [Apr 15, 2021] Introduction to Apache Spark by Slavko Žitnik
• [Mar 12, 2021] Introduction to State of the Art NLP (BERT and GPT) by Andrej Miščič and Luka Vranješ
• [Feb 26, 2021] Open Source (FOSS) Licensing & Compliance Workshop by Matija Šuklje
• [Sep 29, 2020] Modern NLP Through Large Pretrained Language Models by Marko Robnik Šikonja, Andrej Miščič and Luka Vranješ
• [Sep 23, 2020] Predictive Modelling with Python by Jure Žabkar
• [Sep 7, 2020] Recommender Systems with Tensorflow by Davorin Kopič and Jan Hartman
• [Mar 2, 2020] Intro to Containers and Kubernetes by Matjaž Pančur
• [Jan 24, 2020] Introduction to Tidyverse by Matej Pičulin
• [Dec 12, 2019] Introduction to Network Analysis in Python by Lovro Šubelj
• [Dec 4, 2019] Introduction to Mobile Sensing with Android by Veljko Pejović
• [Oct 25, 2019] Introduction to Time Series Forecasting with Python by Matej Guid
• [Sep 19, 2019] Network Analysis in Python by Lovro Šubelj
• [Jul 27, 2019] summeRworkshop by Gregor Pirš, Jure Demšar and Erik Štrumbelj
• [Jun 20, 2019] Applied Spatial Data Analysis by Jana Faganeli Pucer
• [May 24, 2019] Parallel Computation on GPUs with OpenCL by Rok Češnovar and Davor Sluga
• [Apr 25, 2019] Predictive Modelling with Python by Jure Žabkar
• [Feb 23, 2019] Introduction to Text Analysis by Ayush Pandey
• [Feb 2, 2019] Introduction to Programming in R by Jure Demšar and Gregor Pirš
• [Dec 20, 2018] Introduction to Probabilistic Thinking and Programming with Stan by Erik Štrumbelj