Module code: BUSM193
Credits: 15.0
Semester: SEM2
Contact: Dr Guven Demirel
This module will provide an introduction to the methods and the tools of data science. The module will use the programming language Python and will cover the fundamental stages of data analysis workflow, including data collection, data pre-processing, exploratory analysis, statistical modelling, and business reporting. This will involve web scraping, merging and cleaning data sets, feature engineering, descriptive analysis and data visualisation, and applying various unsupervised and supervised machine learning models. The module will focus on applications in the general business management domain as well as the analysis of digital currency and blockchain data.
Connected course(s): UDF DATA
Assessment: 50.0% Coursework, 25.0% Practical, 25.0% Examination
Level: 7
