Course Description
This course develops advanced data literacy and analytical capabilities for innovation-driven and creative organizations. It introduces quantitative reasoning, performance measurement systems, and data visualization methodologies that support evidence-based strategic decision-making. Students learn to interpret and contextualize business, user, and operational data, translating analytical outputs into actionable insights. Emphasis is placed on critical interpretation, avoiding misrepresentation, and integrating analytics into entrepreneurial, cultural, and technological strategies.
Learning Outcomes
Upon successful completion of this course, students will be able to:
Knowledge
- Demonstrate understanding of statistical reasoning, performance metrics, and analytical frameworks relevant to startups and creative enterprises
- Explain the strategic role of data in organizational learning and competitive positioning
Skills
- Analyze structured and semi-structured datasets using appropriate analytical tools
- Develop dashboards and visual representations that communicate complex information clearly and accurately
- Interpret analytical results in relation to strategic objectives Competencies
- Integrate data-driven reasoning into innovation processes and venture management
- Critically evaluate data quality, limitations, and potential bias
- Communicate analytical findings effectively to diverse stakeholder audiences
Key Topics Covered
- Descriptive, diagnostic, and predictive analytics
- Key performance indicators for digital and creative ventures
- Data visualization principles and cognitive perception
- Dashboard development and performance tracking
- Decision-making under uncertainty
- Ethical data interpretation and responsible reporting