*WHAT THIS COURSE IS ABOUT*

This course offers an introduction to the key concepts of military alliances and the tools needed to map them effectively. You will learn how to install Python and essential packages like Geopandas, navigating any challenges that may arise. The Python tutorials will teach you how to create and manipulate geolocation data, design maps of various regions, plot pipelines, update territories, and integrate entities like the European Union into your maps.

In the advanced modules, you will focus on current military alliances such as NATO, CSTO, and SCO. You will gain practical skills in mapping out NATO's potential expansions into Europe, the Middle East, and Eurasia.

Each lesson is designed to provide a hands-on approach, ensuring you can visualize and plan complex geopolitical scenarios. By the end of the course, you will have a comprehensive understanding of how to design and analyze military alliances, equipping you with valuable skills for strategic planning and analysis.

This course is ideal for anyone looking to deepen their understanding of strategic planning. Whether you're a student of international relations, a professional in the defense industry, or simply a geopolitics enthusiast, this course provides valuable, hands-on skills that are directly applicable to real-world scenarios.

By mastering the art of designing military alliances on a map, you'll enhance your analytical abilities, making you more adept at predicting and understanding geopolitical movements. This unique expertise is not only intellectually rewarding but also highly sought after in various fields, offering you a competitive edge in your career or academic pursuits.

There are no prerequisites. The course uses Python, Pyomo and GAMS, assuming no prior experience. It is easy to follow the lectures because the videos are very detailed. Come back here every 6 - 12 months to watch the updated version as the content is regularly updated.

* BIOGRAPHY*

I hold a PhD in Economics and bring years of research and consultancy experience to the table. My expertise is deeply rooted in the application of mathematical optimization, machine learning, and data science within the fields of economics, energy, and geopolitics. Over the years, I have worked on numerous projects that leverage these advanced techniques to solve complex problems and provide actionable insights in these critical areas.

My teaching philosophy centres around making complex concepts simple. I break down difficult topics using simple, easy-to-understand language, along with numerous practical examples. This approach helps demystify advanced subjects and ensures that learners can grasp and apply the knowledge effectively.

Whether you are a beginner or an experienced professional, my courses are designed to enhance your understanding and skill set in a structured and engaging manner.