Events

We regularly organize events aimed at growing the data science community and providing skill development opportunities to students, professionals, and academics.

To learn about all upcoming events subscribe to the DataScience@UL-FRI Newsletter.

Meetups

Several times a year we organize meetups in different formats, from lectures to lightning talks, each followed by an opportunity for casual discussion.

Workshops

Complementary to our academic programs we also offer opportunities for professional skill development in all areas of data science in the form of one-day and multi-day workshops.

We are running a structured sequence of workshops called Modern data analysis. These workshops are, unless otherwise noted, in Slovene. Their goal is to educate an expert from another field, potentially without programming experience, in the essential data analysis topics (read more).

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.

We also organize free monthly workshops for professionals, students, and researchers (click for details):

  • Introduction to Survival Analysis by Greta Gašparac and Martin Špendl (Mar 28 2024)
  • Recommender systems with TensorFlow by Martin Jakomin and Jan Hartman (Mar 7 2023)
  • Empowering Users with SQL: A Workshop on Snowflake and Practical SQL Usage by Žane Logar and Andrej Mohorič (Jan 24 2024)
  • LangChain: A convenient mess by Andrej Miščič and Luka Vranješ (Dec 6 2023)
  • Introduction to machine learning in PyTorch by Peter Mlakar (Nov 16 2023)
  • Streetfight statistics: Part 2 - Testing null hypotheses like a pro by Erik Štrumbelj (Nov 8 2023)
  • Streetfight statistics: Part 1 - Estimating the mean by Erik Štrumbelj (Jul 6 2023)
  • Introduction to time series analysis and forecasting with Python by Martin Možina (May 24 2023)
  • Data science workshop for students: from project idea to execution by Luka Vranješ, Andrej Miščič, and Greta Gašparac (Apr 5 2023)
  • Recommender systems with TensorFlow by Martin Jakomin and Jan Hartman (Feb 22 2023)
  • Modern NLP through practical problems by Andrej Miščič and Luka Vranješ (Feb 1 2023)
  • IIntroduction to network science in Python (NetPy) by Lovro Šubelj (Dec 3 2022)
  • Scalable machine learning with Dask by Jana Faganeli Pucer (Nov 30 2022)
  • Using Databricks platform for data storage, analysis and machine learning by Tadej Justin (Sep 14 2022)

  • From Computer Vision to Biometrics (May 18 2022). (read more)

  • Introduction to Actionable Reporting in Power BI (May 11 2022). (read more)

  • Dashboarding s paketom Shiny (Apr 13 2022). (read more)

  • Razumevanje negotovosti in statisticno razmisljanje (Mar 30 2022). (read more)

  • Predictive Modelling with Python (Mar 24 2022). (read more)

  • A/B Test Analysis with R Tidyverse (Feb 10 2022). (read more)

  • Introduction to network science in Python (NetPy) (Dec 14 2021). (read more)

  • Visualizing Analytics with Tableau (Nov 4 2021). (read more)

  • Recommender Systems with Tensorflow (May 18 2021). (read more)

  • Introduction Apache Spark (Apr 15 2021). (read more)

  • Introduction to state of the art NLP (BERT and GPT) (Mar 12 2021). (read more)

  • Open Source (FOSS) licensing & compliance workshop (Feb 25 2021). (read more)

  • Modern NLP Through Large Pretrained Language Models (Sep 29 2020). (read more)

  • Predictive Modelling with Python (Sep 23 2020). (read more)

  • Recommender Systems with Tensorflow (Sep 1 2020). (read more)

  • Intro to Containers and Kubernetes (Feb 25 2020). (read more)

  • Introduction to Tidyverse (Jan 23 2020). (read more)

  • Introduction to network analysis with Python (Dec 10 2019). (read more)

  • Introduction to Mobile Sensing with Android (Dec 4 2019). (read more)

  • Introduction to Time Series Forecasting with Python (Oct 24 2019). (read more)

  • Introduction to network analysis with Python (Sep 19 2019). (read more)

  • summeRworkshop (Jul 25 2019). (read more)

  • Applied spatial data analysis (Jun 20 2019). (read more)

  • Parallel computation on GPUs with OpenCL (May 23 2019). (read more)

  • Predictive Modelling with Python (Apr 25 2019). (read more)

  • Introduction to Text Analysis (Feb 21 2019). (read more)

  • Introduction to Programming in R (Jan 31 2019). (read more)

  • Introduction to Probabilistic Thinking and Programming with Stan (Dec 20 2018). (read more)

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