Python for Biological Data Exploration & Visualisation
Live online training covering data wrangling, statistical analysis, and visualisation of biological and ecological data using Python.
https://prstats.org/course/python-for-biological-data-exploration-and-visualization-pybd01/
Join our four-day live online workshop: Python for Biological Data Exploration and Visualisation (PYBD01). If you’re working with biological, ecological or environmental data — or plan to — and you want to move from raw datasets to clear, insightful visualisations and analysis, this course is for you.
What you will learn
How to load, clean and wrangle biological or ecological datasets using Python libraries. How to perform statistical analyses relevant to biological, ecological or environmental research. How to create publication-quality visualisations to explore patterns, trends, and data structure. How to build reproducible data analysis workflows tailored to biological data. How to interpret results and visualisations meaningfully within a biological or ecological context.
Who should attend
Researchers, postgraduate students and professionals working in biology, ecology, environmental science, or related fields. Anyone with basic Python knowledge and an interest in applying programming to biological data. Those who want to translate raw biological data into analyses and visualisations with confidence.
Course format
Four days of live online sessions (approximately 3½ hours each day) in a UK / Western European time zone. Interactive lectures, hands-on practical work, and group discussion. Course materials, code, and example datasets provided, with opportunities to bring and explore participants’ own data. Session recordings available after each day to accommodate participants in different time zones.
Why this course stands out
It offers a complete workflow from raw biological/ecological data to cleaned, visualised, statistically analysed results — designed specifically for researchers working with biological data. It emphasises not just how to code, but how to perform meaningful analyses and create interpretable, publication-ready visualisations. Delivered by experienced instructors, the course balances theory, practice and contextual biological relevance in an accessible live-online format.
How to register / next steps
Visit the PR Stats website for full course details, upcoming dates and registration information. Early registration is recommended, as places are limited. https://prstats.org/course/python-for-biological-data-exploration-and-visualization-pybd01/
