Search
-
Geospatial Data Analytics
https://le.ac.uk/modules/2026/gy7707
Module code: GY7707 This module focuses on the tools for geospatial data analysis.
-
Scientific Data Analysis
https://le.ac.uk/modules/2026/pa4602
Module code: PA4602 Science is not about certainty but dealing with uncertainty through rigorous testing, and one of the tools used to accomplish this is statistical inference. Data analysis and statistical thinking are essential aspects of all modern science.
-
Geophysical Data Analysis
https://le.ac.uk/modules/2024/gl3112
Module code: GL3112 Pre-requisites: GL2108 This module builds on your second-year studies of the principles of geophysics and takes you through the theory and application of widely used advanced geophysical data analysis methods.
-
Modelling and Classification of Data
https://le.ac.uk/modules/2024/eg7013
Module code: EG7013 This module will present you with the fundaments of a wide range of algorithms (Bayes classifiers, neural networks and fuzzy logic) available to perform key artificial intelligence (AI) tasks, including machine learning, pattern classification, modelling...
-
Scientific Data Analysis
https://le.ac.uk/modules/2024/pa7111
Module code: PA7111 Science is not about certainty but dealing with uncertainty through rigorous testing, and one of the tools used to accomplish this is statistical inference. Data analysis and statistical thinking are essential aspects of all modern science.
-
Geospatial Data Analytics
https://le.ac.uk/modules/2024/gy7707
Module code: GY7707 This module focuses on the tools for geospatial data analysis.
-
Data Analytics in Practice
https://le.ac.uk/modules/2024/ec3027
Module code: EC3027
-
Business Data Science
https://le.ac.uk/modules/2024/ec2062
Module code: EC2062
-
Data Science Project
https://le.ac.uk/modules/2024/co3203
Module code: CO3203 (double module)
-
Data as Culture
https://le.ac.uk/modules/2024/co7442
Module code: CO7442 Data science, like art and traditional sciences, offers a lens through which we can understand our world. It's a reciprocal process: data fuels new insights, while artistic techniques can illuminate the stories hidden within our data.