Energy Infrastructure Mapping with Python & Geopandas

Name: Energy Infrastructure Mapping with Python & Geopandas
Rating: 4.7 (167 reviews)

Analyze Pipelines, Power Grids & Interconnectors from Nord Stream to Belt & Road

Created byAlgorithmic Economist, PhD

Last updated 6/2026

English

What you'll learn

Master geospatial analysis using Python and Geopandas for energy infrastructure mapping
Visualize gas pipelines including Nord Stream, TurkStream, and EastMed with real geographic data
Map European electricity interconnectors: Viking, BritNed, NeuConnect, IFA, and complete networks
Analyze China's Belt and Road Initiative energy corridors using Basemap and Folium
Create network visualizations showing energy flows between countries and regions
Plot any energy infrastructure globally using coordinate systems and shapefiles
Combine technical infrastructure analysis with geopolitical and economic context
Apply these geospatial techniques to real energy planning and security analysis projects

Course content

9 sections • 31 lectures • 4h 38m total length

Introduction1:24
Key points of the course.
Additional Case Studies0:03

Old way of doing it1:03
This is how it was done in the past, which no longer works. We will then overcome the issues.
Tutorial on geopandas7:40
Key operations related to Geopandas.
The code for this lecture is available to download.
Connecting two points on a map, linearly and nonlinearly9:45
How to connect two points on a map, linearly and nonlinearly.
The code for this lecture is available to download. Also, a bonus paper is included, which you can download.
Design the map of any region in the world6:37
How to design any region on a map.
The code for this lecture is available to download.
Plot any interconnector/pipeline in the world18:36
How to plot any interconnector in the world.
The code for this lecture is available to download. Also, a bonus paper is included, which you can download.
Update a country's territory on Geopandas13:59
How to use Geopandas to update the territory of a country.
The code for this lecture is available to download.
Add the European Union in Geopandas11:50
How to use Geopandas with datasets of the European Union.
The code for this lecture is available to download. Also, a bonus paper is included, which you can download.

First step: setting the basemap13:48
How to set the basemap for the map.
The code for this lecture is available to download.
The NeuConnect Interconnector21:40
How to plot the NeuConnect interconnector.
The code for this lecture is available to download. Also, a bonus paper is included, which you can download.
The Northsea electricity interconnector6:57
How to plot the North Sea interconnector.
The code for this lecture is available to download.
The Viking electricity interconnector3:33
How to plot the Viking interconnector.
The code for this lecture is available to download. Also, a paper is included, which you can download.
The BritNed electricity interconnector2:15
How to plot the BritNed interconnector.
The code for this lecture is available to download.
The Nemo electricity interconnector2:16
How to plot the Nemo interconnector.
The code for this lecture is available to download.
The Ifa and Ifa2 electricity interconnections2:50
How to plot the Ifa interconnectors.
The code for this lecture is available to download.
Draw all electricity interconnectors in North West Europe4:03
How to plot all European interconnectors.
The code for this lecture is available to download.
Technical and geopolitical analysis12:36
Key geopolitical points for the interconnectors.
The code for this lecture is available to download.

Energy interconnectors in South Asia (India, etc)15:19
How to plot interconnectors in Asia.
The code for this lecture is available to download.
Belt and Road: Python Design (Basemap)35:00
How to plot the Belt and Road project using Basemap.
The code for this lecture is available to download. Also, a paper is included, which you can download.
Belt and Road: Python Design (Folium)20:27
How to plot the Belt and Road project using Folium.
The code for this lecture is available to download.
Belt and Road: geopolitical analysis5:36
Key geopolitical points related to the project.
The code for this lecture is available to download.

Requirements

Basic Python knowledge helpful but not required
No prior Geopandas or GIS experience needed
Installation instructions provided for all software
Interest in energy infrastructure and global energy markets
Just need a computer and willingness to learn

Description

WHO I AM: I hold a PhD in Quantitative Economics and Energy from Imperial College London. I teach practical, real-world data science specifically for the energy sector.

REGULAR ENHANCEMENTS: This course is reviewed periodically with updates to reflect the modern energy market.

STUDENT BONUS: Note: Students who enroll in this course will receive access to the Energy Data Scientist community.

What You'll Learn:

How to perform geospatial analysis using Python and Geopandas for energy infrastructure mapping
How to visualize and analyze gas pipelines including Nord Stream, TurkStream, and EastMed using real geographic data
How to map electricity interconnectors across Europe including Viking, BritNed, NeuConnect, and IFA systems
How to plot and analyze energy networks in any region from Eastern Mediterranean to South Asia
How to model China's Belt and Road Initiative energy corridors using both Basemap and Folium
How to create linear and nonlinear connections between energy nodes for network analysis
How to troubleshoot Geopandas installation issues and optimize geospatial workflows
How to combine technical infrastructure analysis with geopolitical context for strategic insights

Perfect For:

Energy analysts mapping infrastructure networks and cross-border connections
Infrastructure planners in utilities and government agencies
Energy economists analyzing regional market integration
Consultants advising on pipeline and interconnector projects
Policy advisors working on energy security and resilience
Graduate students in energy systems, geography, or environmental science
GIS specialists focusing on energy and utilities
Anyone analyzing global energy infrastructure and geopolitics

Why This Matters:

Energy infrastructure determines economic competitiveness, national security, and climate outcomes. The $130 trillion energy transition requires optimizing existing pipelines and grids while building new renewable connections. Understanding spatial relationships between energy assets is critical - from assessing stranded asset risks to planning hydrogen corridors. Recent events (Nord Stream sabotage, energy weaponization, supply chain disruptions) prove that infrastructure mapping skills are essential for risk assessment and strategic planning. Companies and governments need professionals who can visualize complex energy networks, analyze bottlenecks, and evaluate geopolitical vulnerabilities. Whether mapping LNG terminals, renewable energy zones, or critical minerals supply chains, these skills position you for roles in energy consulting ($100,000-180,000), infrastructure planning ($90,000-150,000), and strategic analysis ($120,000-200,000+). Master the tools used by the IEA, major utilities, and energy ministries worldwide.

Who this course is for:

Energy Analysts mapping pipeline networks and electricity interconnectors
Infrastructure Planners in utilities and energy ministries designing cross-border connections
Energy Economists analyzing regional market integration and infrastructure investments
Consultants advising on pipeline routes and grid interconnection projects
Policy Advisors working on energy security and resilience planning
Graduate Students & Researchers in energy systems, geography, or environmental planning
GIS Professionals specializing in energy and utility infrastructure
Project Developers assessing locations for renewable energy and transmission projects
Anyone working in energy needing to visualize and analyze spatial infrastructure data

Energy Infrastructure Mapping with Python & Geopandas

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Course content

Introduction2 lectures • 1min

Installation of necessary software3 lectures • 11min

Python tutorial on geolocation7 lectures • 1hr 10min

Eastern Mediterranean2 lectures • 40min

North West Europe9 lectures • 1hr 10min

North East Europe - gas pipelines2 lectures • 9min

Interconnectors in Asia4 lectures • 1hr 16min

Conclusions1 lecture • 1min

BONUS1 lecture • 1min

Requirements

Description

Who this course is for: