Introduction
This course aims to provide learners with advanced skills in data analytics, emphasising applications in business and decision-making processes. The curriculum covers data preparation, including techniques for cleaning, organising, and structuring data in silos or warehouses. Learners will then advance to exploratory data analysis (EDA) and visualisation, employing statistical techniques to interpret data meaningfully. Through descriptive, predictive, and prescriptive analytics, students will learn how to uncover insights that inform strategic decisions and optimise business outcomes. The course also emphasises the use of programming languages and data visualisation tools to turn raw data into actionable insights. Ideal for those interested in business intelligence, this course empowers learners to apply analytic models that enhance competitive advantage, enabling data-driven decision-making across industries.
Learning Outcomes
