Description
This module will provide an introduction to statistical analysis and machine learning for pharmaceutics research. Students will learn the context and role of computational analysis, and will get hands on experience in interpreting data, performing analysis in python, building predictive machine learning models for pharmaceutics, and plotting and presenting data in compelling and informative ways.
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The emphasis of this course will be on students getting hands on experience with using python for implementing statistical packages, performing analysis and modelling of data, and designing and generating figures. No background in programming is required for this module – an introduction to python will be provided at the start of the module.
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Topics include:
- Introduction to data analysis with python
- Statistical analysis in pharmaceutics research
- Introduction to machine learning with python
- Machine learning methods in pharmaceutics
- Incorporating machine learning into experimental workflows
- Plotting and displaying data
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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