Energy Geopolitics using Data Science

BIOGRAPHY:

I am the founder of the School of Software Engineering for Energy, which teaches you software engineering to develop energy models (economics, investments, valuation, finance) based on the power of machine learning, data science and optimization.

I hold a PhD in Energy from Imperial College London and I have co-authored 30 publications and 3 books.

I have also developed online courses for thousands of students on Udemy.

WHAT THIS COURSE IS ABOUT:

This course offers a unique blend of technical skills and geopolitical insight. It focuses on the design and visualization of energy pipelines and interconnectors using Python and advanced geospatial data analysis tools. Designed for both beginners and those with some experience in data analysis or geography, the course requires no prerequisites, making it accessible to anyone interested in energy infrastructure mapping and geopolitical data visualization.

Throughout the 4-hour and 36-minute video course, students will embark on a journey that begins with the fundamentals of Python programming and progresses to advanced geospatial analysis techniques. The curriculum covers essential topics such as installing Python and crucial packages like Geopandas, with practical guidance on overcoming common challenges that newcomers might face.

As the course advances, participants will explore a wide range of geolocation techniques in Python, from creating basic maps to executing complex tasks like plotting interconnectors and updating territorial boundaries. This hands-on approach ensures that students not only understand the theoretical concepts but also gain practical experience in applying these tools to real-world scenarios.

The heart of the course lies in its practical applications. Participants will have the opportunity to map actual energy infrastructure projects across various regions of global significance, including the Eastern Mediterranean, North West Europe, North East Europe, and Asia.

By working in these diverse geographical areas, participants will not only hone their technical skills but also gain valuable insights into the geopolitical implications of energy infrastructure development. This dual focus on technical implementation and geopolitical analysis sets the course apart, providing a holistic understanding of how energy systems interact with geographical, political, and economic factors on a global scale.

By the end of the course, students will have developed a robust skill set that combines Python programming, geospatial data analysis, and energy infrastructure mapping. They will be equipped to create sophisticated visualizations that can inform decision-making processes in energy policy, infrastructure planning, and geopolitical strategy.

Whether the goal is to enhance professional capabilities, support academic research, or simply explore a fascinating intersection of technology and global affairs, this course provides the tools and knowledge needed to analyze and communicate complex geographical data related to energy systems effectively. The skills acquired are highly transferable, opening up new possibilities in fields ranging from energy sector analysis and environmental science to urban planning and historical research.