On 23 October 2025, DTU Wind and Energy Systems hosted a masterclass on Data Science Essentials for Wind Energy Systems, presented by our senior researchers Tuhfe Göçmen, Matti Juhani Koivisto, and Nikolay Dimitrov. In this webinar, you’ll gain insights into how data science is transforming wind energy research and development. The speakers address questions such as: 1. What key data science practices can enhance innovation in wind energy? 2. How can metadata, data visualisation, and anonymisation improve data quality and usability? 3. How can machine learning and AI be effectively applied to solve real-world challenges? 4. What does working with wind energy data actually look like in practice? Whether you’re a researcher, engineer, or professional in the wind energy industry, this masterclass will help you strengthen your data science skills to drive better decisions and performance. 💡 In the full course, you’ll also gain hands-on experience with Python libraries for data analysis, feature engineering, and model evaluation, and learn to manage and process data from wind turbines, hybrid power plants, and numerical experiments. You’ll also explore APIs, data platforms, and licensing for data-driven tools. 👉 Learn more about the full course here: https://www.dtu-digiwind.org/data-science-essentials-for-wind-energy-systems 📚 Explore more lifelong learning opportunities for upskilling and reskilling from DTU DigiWind team: https://www.dtu-digiwind.org/ 💬 Contact the presenters Tuhfe Göçmen Senior Researcher, DTU Wind and Energy Systems ✉️ tuhf@dtu.dk Matti Juhani Koivisto Senior Researcher, DTU Wind and Energy Systems ✉️ mkoi@dtu.dk Nikolay Dimitrov Senior Researcher, DTU Wind and Energy Systems ✉️ nkdi@dtu.dk