BUSN9233 Data Analysis for Decision Making

Overview

This topic introduces students to the principles, tools, and methods of data analysis relevant to managerial decision-making in a business context. Students will explore various types of data, applying techniques such as different machine learning models, and the fundamentals of cybersecurity. By focusing on practical business use cases, students will develop the skills to transform raw data into meaningful insights that support strategic decisions, while also understanding how to protect sensitive information. Real-world case studies will illustrate how these techniques influence decision-making across a range of business scenarios, integrating theory with practical application.

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Aims

This topic aims to equip students with the knowledge and confidence to apply a range of data analysis techniques across various business contexts. The overarching goal is to empower students to make data-driven decisions while understanding how to effectively safeguard data in workplace environments.

Assessments

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Requisites information

Anti-requisites:

Handbook

Data Analysis for Decision Making