The module introduces students to environmental data analysis based on statistical concepts including hypothesis testing, correlation analysis, regression, and analysis of variance. Students will learn the importance of good data quality and apply appropriate data cleansing and transformation techniques to organise and prepare data for analysis. Through the application of large-scale environmental data, students will learn to process information with data visualisation software such as Tableau, and effectively present the results in interactive graphics. This module also covers Geographic Information Systems (GIS), which is a computer-based tool that stores, manipulates and visualises geographic information and its application in the environmental industry.
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