Data and statistics are central to Data Science, providing the tools needed to analyze information, identify patterns, and support informed decision-making. This module focuses on advanced statistical methods and data analysis, with a strong emphasis on practical applications. Students will learn to process and summarize data, work with probability distributions, conduct statistical inference and hypothesis testing, and develop predictive and decision-making models. These skills are essential for addressing real-world challenges in cybersecurity and digital archiving, including risk assessment, anomaly detection, and threat forecasting. The module equips students to critically interpret data and apply statistical techniques to complex, data-driven problems.
In an organization information can be a strategic source of opportunity. Data Mining deals with the unearthing of hidden knowledge from large databases. This is closely linked to another important development - data warehousing, which focuses on supporting the analysis of data in a multidimensional way.