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Description
Forecasting is a fundamental business skill. Forecasts of the future are used in all areas of business, from operations and finance to marketing and entrepreneurship. Predictive analytics is about using data to forecast uncertain quantities and events.
This module introduces students to key topics in predictive analytics including time series, regression, and classification, and develops students鈥� ability to think like a data scientist.
The module builds on ideas and tools introduced in MSIN0010 Data Analytics I and MSIN0023 Computational Thinking, including R, Python and Tableau, statistical software used by the world鈥檚 leading data scientists.
During the module, students will work with example data sets to experience the stages of the data science process: they will visualise data, propose models that might fit the data, choose a best-fit model, use that model to make predictions, test those predictions against new realisations, and deploy the model, e.g., in Web apps.
Cases that illustrate the applications of data science to business problems will be used.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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