Python essentials for data analysis
Python essentials for data analysis
05 March 2026, 9h00-17h00
General context
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.
- Create software environments including Python packages.
- Work with Jupyter Notebooks to write, run, and document Python code
- Build and manipulate Pandas DataFrames for tabular data analysis
- Generate and handle NumPy arrays for tabular and image data
- Use Matplotlib and Pandas to create visual representations of image data
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.
People with no experience in Jupyter Notebooks, Python environments, Pandas, NumPy, or Matplotlib who are planning to follow our imaging with Python or our spatial omics data analysis training sessions.
Participants should have a basic understanding of Python programming. If you are completely new to Python, we recommend completing an introductory course first: Programming in Python: master your first project or the Python light introduction.
Trainers
Janick Mathys
Janick tries to help VIB scientists analyze their data by offering bioinformatics training and support. Next to organizing trainings, creating e-learning courses and teaching statistics, R, Python, Linux, HPC, bulk and single cell RNA-Seq analysis, she consults scientists and develops pipelines for omics analyses. Before joining VIB, she worked as a post-doc at KULeuven, doing research on transcriptomics and transcription regulation. She coordinated the Master of Bioinformatics program of KULeuven and taught the course on Biological Databases.
Practical info
05 March 2026
Ghent - VIB/UGent FSVM II
Technologiepark 75
9052 Zwijnaarde
Belgium
05 March 2026
Ghent - VIB/UGent FSVM II
From Ghent Sint-Pieters station, you can take a bus to Technologiepark. Please check Routeplanner De Lijn for schedules.
05 March 2026
Ghent - VIB/UGent FSVM II
Looking for a custom cycling route? Try the online cycling route planner to easily and quickly identify the fastest, safest and/or most scenic route to any destination in Ghent.
Cycling route planner
Shared bicycles:
Several providers are active in the area.
Take a look at their platforms:
- Indigo Weel Pro app
- Bluebike
- DOTT
- BOLT eBikes
- Donkey Republic
There are also some public bicycle pumps at the park.
05 March 2026
Ghent - VIB/UGent FSVM II
There is only one entrance to Technologiepark. At the entrance, please take a ticket - Parking is only allowed in regular parking spots (for instance in front of the building) and in the parking tower. Parking alongside the roads or in other places where there is no regular parking is prohibited.