Develops practical skills in statistical modelling and Python to analyze business data, quantify relationships, and support data-driven decision-making.
Learning Outcomes
Modelling principles: Understand the core principles of statistical modelling for business-related variables.
Quantifying relationships: Measure and analyse relationships between variables using a range of quantitative models and methods to support decisions.
Decision support: Translate empirical relationships into actionable, data-informed business recommendations.
Data management: Manage data pipelines and extract objective quantitative information for analysis.
Software proficiency: Build competence using Python and related tools to analyse relationships and work with large datasets.
Communication: Report empirical findings with appropriate statistical language, clear visualisations, and plain-English explanations for stakeholders.