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.

Past workshops

  • Introduction to network science in Python (NetPy) by Lovro Šubelj (Oct 3 2024)
  • Predictive Modelling with Python by Jure Žabkar (Apr 25 2024)
  • 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)
  • Predictive Modelling with Python by Jure Žabkar (Apr 5 2023)
  • Data science workshop for students: from project idea to execution by Luka Vranješ, Andrej Miščič, and Greta Gašparac (Mar 29 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)
  • Introduction 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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