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Dr. Spyros (PhD Economics and Energy)

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:

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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.

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What's inside

Learning objectives

  • Important: to download my book 'algorithmic energy geopolitics' for free, use this code at checkout (remove spaces): ceff d7ea e49c 347e cf6b
  • Lean how to design and visualize pipelines and interconnectors on maps using python and geospatial data analysis tools.
  • Learn to install and use python and essential packages like geopandas, with guidance on overcoming common challenges.
  • Learn many geolocation techniques in python, from creating basic maps to advanced tasks such as plotting interconnectors and updating territories.
  • Practical applications include mapping real-world energy infrastructure projects in the eastern mediterranean, europe, and asia.

Syllabus

Introduction
Installing Python.
IMPORTANT
Installation of necessary software
Read more
Installing packages
Challenges with the geopandas package
Python tutorial on geolocation
Tutorial on geopandas
Connecting two points on a map, linearly and nonlinearly
Design the map of any region in the world
Plot any interconnector/pipeline in the world
Update a country's territory on Geopandas
Add the European Union in Geopandas
Eastern Mediterranean
Turkstream pipeline design
Eastmed pipeline design
North West Europe
First step: setting the basemap
The NeuConnect Interconnector
The Northsea electricity interconnector
The Viking electricity interconnector
The BritNed electricity interconnector
The Nemo electricity interconnector
The Ifa and Ifa2 electricity interconnections
Draw all electricity interconnectors in North West Europe
Technical and geopolitical analysis
North East Europe - gas pipelines
Nordstream pipeline: Python design
Geopolitical analysis
Interconnectors in Asia
Energy interconnectors in South Asia (India, etc)
Belt and Road: Python Design (Basemap)
Belt and Road: Python Design (Folium)
Belt and Road: geopolitical analysis
Conclusions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Geared toward total beginners, this course assumes no prior knowledge of Python or geospatial analysis, making it an excellent starting point for learners new to these fields
Focuses on the design and visualization of energy pipelines and interconnectors, providing learners with essential skills for energy infrastructure mapping and geopolitical data visualization
Provides hands-on experience through practical applications, allowing learners to apply their skills to real-world scenarios and gain valuable insights
Covers a wide range of topics, including Python programming, geospatial data analysis techniques, and energy infrastructure mapping, providing a comprehensive understanding of the subject matter
Taught by Dr. Spyros, who holds a PhD in Energy from Imperial College London and has co-authored 30 publications and 3 books, ensuring the credibility and quality of the course content
Offers a unique blend of technical skills and geopolitical insight, providing learners with a holistic understanding of how energy systems interact with geographical, political, and economic factors on a global scale

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Energy Geopolitics using Data Science with these activities:
Test Your Knowledge of Geospatial Techniques
Practice geospatial techniques in Python to reinforce your understanding and improve your proficiency.
Browse courses on Geospatial Analysis
Show steps
  • Load geospatial data into Python
  • Visualize geospatial data on a map
  • Perform geospatial operations, such as buffer analysis or network analysis
  • Export geospatial data in different formats
  • Troubleshoot common challenges in geospatial data analysis
Participate in a Collaborative Mapping Project
Collaborate with peers to map real-world energy infrastructure projects and share your insights.
Browse courses on Teamwork
Show steps
  • Join a study group or online forum
  • Select a region of interest and gather relevant data
  • Use Python and geospatial tools to map the energy infrastructure
  • Analyze the data and identify patterns or trends
  • Present your findings to the group and discuss the geopolitical implications
Design an Energy Infrastructure Map for a Specific Region
Demonstrate your understanding of energy infrastructure and geospatial techniques by creating a detailed map for a specific region.
Browse courses on Python
Show steps
  • Identify the region of interest and gather relevant data
  • Use Python and geospatial tools to create a base map
  • Plot energy infrastructure, such as pipelines, power lines, and renewable energy sources
  • Analyze the data and identify patterns or trends
  • Create a visually appealing and informative map that effectively communicates your findings
Show all three activities

Career center

Learners who complete Energy Geopolitics using Data Science will develop knowledge and skills that may be useful to these careers:

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