Python essentials for data analysis
Date: 5 March 2026 @ 09:00 - 17:00
Duration: P1DT8H
Language of instruction: English
Turn basic Python knowledge into powerful data analysis skills. This training is designed to bridge the gap between knowing Python syntax and using Python effectively for data analysis in scientific workflows. Throughout the course, you will work with Jupyter Notebooks, manage environments with uv, and explore essential libraries such as Pandas, NumPy, and Matplotlib. These skills will prepare you to understand and adapt Python scripts commonly used in data analysis, giving you the confidence to tailor workflows to your research needs. This training introduces participants to data analysis libraries in Python (numpy, Pandas, matplotlib) in a research context. Through guided exercises and demonstrations, participants are expected to follow along in Jupyter notebooks, explore basic manipulations, and practice modifying simple scripts.
Keywords: programming
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Learning objectives:
- Build and manipulate Pandas DataFrames for tabular data analysis
- Create software environments including Python packages
- Generate and handle NumPy arrays for tabular and image data
- Use Matplotlib and Pandas to create visual representations of image data
- Work with Jupyter Notebooks to write, run, and document Python code
Organizer: VIB (https://ror.org/03xrhmk39)
Event types:
- Workshops and courses
Instructors: 
Janick Mathys
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