[AI Summary]: This hands-on workshop by Dr. Golnaz Sarkar Farshi teaches participants to create data visualizations for storytelling using Python’s Seaborn library, understand statistical inference concepts, and apply these skills to predict missing values and understand machine learning methods. The workshop uses cloud-based Jupyter notebooks requiring no prior Python knowledge or installations.
This workshop takes place on January 23, 2026 from 9:00 AM to 2:00 PM Berlin time as the final session of the Data & Storytelling lecture series. Registration is required via the HERMES-Hub platform.
- Instructor: Dr. Golnaz Sarkar Farshi
- Format: Online hands-on workshop via Zoom
- Language: English
- Prerequisites: None (no Python knowledge required)
- Technical Requirements: Cloud-based Jupyter notebook (no installation needed)
- Materials: Based on open-source lesson: https://hermes-dkz.github.io/stat_inf_data_vis/04_python_data_vis_for_inference_and_storytelling.html
- Registration: https://hermes-hub.de/aktuelles/events/data-storytelling-2026-01-23.html
Part of Series: This is the fourth and final session of the Data & Storytelling lecture series organized by TU Darmstadt and University of Trier.