Use statistical methods to analyse environmental data and support decision-making.
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What you'll achieve
Understand probability, descriptive statistics, and hypothesis testing.
Apply regression and multivariate analysis to environmental data.
Analyse trends and patterns in ecological and climate datasets.
Use statistical tools to support environmental management and decision-making.
Develop critical thinking and problem-solving skills for real-world environmental analysis.

Course overview
Environmental Statistics introduces the principles and techniques for analysing data related to environmental systems and processes. Students learn probability, descriptive statistics, hypothesis testing, regression, and multivariate analysis, with applications in ecology, climate science, and resource management. The course emphasises data interpretation, modelling, and practical problem-solving. By integrating theory with real-world environmental datasets, learners develop the skills to assess trends, identify patterns, and support evidence-based environmental decision-making.
Understand probability, descriptive statistics, and hypothesis testing.
Apply regression and multivariate analysis to environmental data.
Analyse trends and patterns in ecological and climate datasets.
Use statistical tools to support environmental management and decision-making.
Develop critical thinking and problem-solving skills for real-world environmental analysis.
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Learn Environmental Statistics