Course Overview

This five-day intensive course covers essential data science topics tailored for the wind energy sector. It combines theoretical lectures, hands-on exercises, and a capstone project to provide participants with practical skills directly applicable to their work. Key areas include research data management, data visualization, machine learning, and AI applications specific to wind energy problems using Python programming. The course features guest speakers from industry and academia, offering insights into current trends and challenges in the field. Participants will learn to handle data, perform statistical analysis, implement machine learning algorithms, and apply these skills to decision-making processes in wind energy context.

Main Goal

To equip engineering professionals, data scientists, and researchers in the wind energy sector with advanced digital skills for data analysis and management, enabling them to address current industry challenges and drive innovation.

Skills To Be Gained

Data analysis, Machine learning, Statistical methods, Data visualization, Research data management, AI applications in wind energy