Course Objectives:
- Understand the importance of data analysis in supporting strategic decision-making.
- Learn quantitative and qualitative data analysis techniques to extract patterns and trends.
- Develop skills in building analytical models that support evidence-based decisions.
- Enhance the ability to use digital tools and modern technologies in data analysis.
- Improve data interpretation skills and transform insights into actionable strategies.
- Apply best practices in leveraging data for institutional decision-making.
Main Topics of the Course:
Day 1: Introduction to Data Analysis for Decision-Making
- The role of data analysis in strategic decision-making.
- Types and sources of data (quantitative vs. qualitative).
- Data collection and cleaning techniques for accuracy and reliability.
- Exploring modern tools and technologies for data analysis.
Day 2: Applying Data Analysis to Strategic Decision-Making
- Identifying trends and patterns for strategic insights.
- Building analytical models to support decision-making.
- Utilizing AI and predictive analytics for data-driven decisions.
- Case studies on evidence-based decision-making.
Day 3: Translating Data into Actionable Strategic Decisions
- Strategies for leveraging data to enhance organizational performance.
- Effective data visualization and communication techniques.
- Evaluating strategic decisions based on data analysis.
- Practical workshop on using data to solve strategic challenges.