The Project NextAIRE [HORIZON-WIDERA] project continues the Scientific Data Manipulation workshop series.
📍 Online
🗓️ When: Tuesday, 23 June 2026 | 13:00 CET
👥 Anyone can view and join
Workshop Agenda:
This session is designed to provide you with the essential coding skills needed for research and development in the air quality field:
- Identifying missing values and outliers in real-world datasets
- Understanding how missing data affects analysis and machine learning
- Applying deletion and imputation techniques for missing values
- Detecting outliers using statistical and visual methods
- Building a data-cleaning workflow for reliable analysis and modeling
Prerequisite: Basic Python/Pandas knowledge. If you missed Part 1, watch the recording.
You’ll receive the formal invitation and meeting link via email after registration.
Presenter:
Mario Dudjak
Assistant Professor, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT)
Mario Dudjak is an Assistant Professor at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT), with professional and research interests in machine learning, data science, and bio-inspired optimisation. His teaching and training work focuses on practical, example-driven approaches to programming, data analysis, and scientific data manipulation.
Expert in machine learning, data science & bio-inspired optimisation. Known for practical, example-driven training in programming and data analysis.
Perfect for: Researchers working with air quality & environmental datasets who want to ensure data quality before analysis.