Duration: 40–60 hours (adjustable based on needs)
Training Objective:
This training develops competencies in data analysis and interpretation, including data collection, cleaning, exploratory analysis, and visualization to support decision-making. It focuses on practical use of statistical methods and modern tools for data processing in academic, institutional, and business contexts.
Target Group:
Students, data analysts, IT professionals, institutional staff, managers, and individuals interested in data-driven decision-making.
Main Training Content:
- Introduction to Data Science and its role in organizations
- Data collection and cleaning
- Exploratory analysis and data visualization
- Statistics fundamentals for Data Science
- Use of analytical tools for reporting and decision-making
Benefits after Training:
- Skills for professional data analysis
- Better evidence-based decision-making
- Support for scientific research and institutional analysis
- Solid foundation for advancement in AI and Machine Learning
Apply at: https://forms.office.com/r/vDKFM39t5a