Data-Based Decision-Making (SZF_268)
About Study Course
Objective
The course aims to prepare students for the professional business environment by developing competencies across the full analytics cycle, ranging from problem definition to decision presentation. The curriculum utilises methodologies used by top-tier consulting firms, critical thinking frameworks, and principles of persuasive data communication.
Prerequisites
No technical prerequisites in data analysis are required. However, prior knowledge of business fundamentals—specifically understanding the link between goals, processes, and operational outcomes—is recommended.
Learning outcomes
1.Identify and structure business problems
1.Able to develop a logical and structured design of the analytical task solution by transforming the business needs in a specific data exploration plan.
1.Will be able to independently structure ambiguous or complex business problems and design appropriate data analysis solutions using a hypothesis-driven approach (e.g., Issue Trees).
