Data Analysis and Creative Decision-Making Using Modern Technologies

Course Objectives:

1. Understand the importance of data analysis in supporting creative and strategic decision-making.
2. Utilize modern technologies to collect and analyze data for performance improvement.
3. Apply data analysis techniques to uncover patterns and new opportunities.
4. Develop creative thinking skills in data analysis and decision-making.
5. Enhance proficiency in using advanced tools such as AI and machine learning for data-driven insights.
6. Explore real-world case studies on data-driven decision-making across industries.

Main Topics of the Course:

Day 1: Fundamentals of Data Analysis and Decision-Making

• Introduction to data analysis and its role in creative decision-making.
• Types of data, sources, and effective data collection methods.
• Statistical analysis techniques for identifying trends and patterns.
• Using data for forecasting and evidence-based decision-making.

Day 2: Modern Tools and Smart Technologies in Data Analysis

• Exploring modern data analysis tools (Power BI, Tableau, Python, R).
• Applying AI and machine learning to data analysis and decision-making.
• Utilizing Big Data analytics to extract strategic insights.
• Case studies on leveraging technology for innovative decision-making.

Day 3: Creative Thinking and Smart Decision-Making

• Strategies for creative thinking in data analysis.
• Transforming data into actionable insights for strategic decisions.
• Building smart decision-making models using data.
• Practical Workshop: Analyzing real-world data and proposing creative solutions to an organizational challenge.