Data Visualisation
computational skill
Communicate scientific findings through clear, accurate, and compelling visual representations of data.
Data visualisation is how scientific findings reach other scientists, policymakers, and the public. Research Atlas covers matplotlib, seaborn, plotly, and geospatial visualisation — always emphasising accuracy and clarity over decoration.
Where Data Visualisation is used
Careers using Data Visualisation
Environmental Data Scientist
Applies data science, GIS, and statistical methods to environmental problems — monitoring ecosystems, modelling climate impacts, and informing environmental policy.
Scientific Data Scientist
Applies data science methods across scientific disciplines to extract insight from experimental and observational data.
Research Data Analyst
Supports research teams with data analysis, statistical methods, and reproducible workflows.
Climate Data Scientist
Analyses climate datasets, models future scenarios, and communicates climate risk.