Date: 7 July 2026 | Time: 13:00 – 15:00 CET | Location: Online
Speaker: Mario Dudjak, Asst. Prof. FERIT Osijek
Description:
We are pleased to invite you to the third workshop in our Scientific Data Manipulation series, organized as part of the NextAIRE project [HORIZON-WIDERA].
This hands-on session with Dr. Mario Dudjak focuses on essential coding skills for working with time-series scientific data, specifically in air quality research.
Workshop Agenda:
- Outlier Detection: Learn to detect and interpret outliers using visual inspection, z-score logic, and the IQR rule.
- Time-Stamped Data: Convert timestamps, set datetime indices, filter by time, and sort data chronologically.
- Time-Series Processing: Resample, align, join, and interpolate measurements from multiple scientific data sources.
- Scientific Visualization: Create and interpret line plots, bar plots, histograms, boxplots, scatter plots, and heatmaps.
Target Audience:
This workshop is designed for researchers, PhD and MSc students, data scientists, and engineers working with environmental and air quality datasets.
Prerequisite: Basic knowledge of Python and Pandas is required.
Previous Sessions:
Participants are encouraged to watch the recordings of Part 1 and Part 2 before attending:
Registration:
Participation is free. To secure your spot, please register via the link below. A formal invitation and meeting link will be sent to your email after registration.
About the Speaker:
Mario Dudjak is an Assistant Professor at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT). His research and teaching focus on machine learning, data science, and bio-inspired optimisation, with an emphasis on practical, example-driven approaches to programming and data analysis.
We look forward to your participation.