Energy Geopolitics using Data Science

Energy Geopolitics using Data Science, available at $54.99, has an average rating of 4.98, with 29 lectures, based on 145 reviews, and has 539 subscribers.

You will learn about 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. This course is ideal for individuals who are Geopolitical Researchers focusing on the geopolitical implications of energy infrastructure, particularly in strategic areas like the Eastern Mediterranean, Europe, and Asia. or Data Scientists who want to specialize in geospatial data visualization and its applications in the energy sector. or Policy Makers and Consultants involved in energy policy, infrastructure planning, or consulting who need to understand and communicate complex geographical data related to energy systems. or Professionals working in the energy industry who need to visualize and analyze pipeline networks and interconnectors across different regions. or Geographic Information System (GIS) professionals looking to expand their toolkit with Python-based solutions for mapping energy infrastructure. or Reporters and journalists specializing in energy, geopolitics, or data-driven storytelling who want to create compelling, data-backed visualizations of energy infrastructure. or Scholars and researchers studying the historical development of energy infrastructure, its impact on geopolitics, and its role in shaping modern societies. It is particularly useful for Geopolitical Researchers focusing on the geopolitical implications of energy infrastructure, particularly in strategic areas like the Eastern Mediterranean, Europe, and Asia. or Data Scientists who want to specialize in geospatial data visualization and its applications in the energy sector. or Policy Makers and Consultants involved in energy policy, infrastructure planning, or consulting who need to understand and communicate complex geographical data related to energy systems. or Professionals working in the energy industry who need to visualize and analyze pipeline networks and interconnectors across different regions. or Geographic Information System (GIS) professionals looking to expand their toolkit with Python-based solutions for mapping energy infrastructure. or Reporters and journalists specializing in energy, geopolitics, or data-driven storytelling who want to create compelling, data-backed visualizations of energy infrastructure. or Scholars and researchers studying the historical development of energy infrastructure, its impact on geopolitics, and its role in shaping modern societies.

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Summary

Title: Energy Geopolitics using Data Science

Price: $54.99

Average Rating: 4.98

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

• 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.

Who Should Attend

• Geopolitical Researchers focusing on the geopolitical implications of energy infrastructure, particularly in strategic areas like the Eastern Mediterranean, Europe, and Asia.
• Data Scientists who want to specialize in geospatial data visualization and its applications in the energy sector.
• Policy Makers and Consultants involved in energy policy, infrastructure planning, or consulting who need to understand and communicate complex geographical data related to energy systems.
• Professionals working in the energy industry who need to visualize and analyze pipeline networks and interconnectors across different regions.
• Geographic Information System (GIS) professionals looking to expand their toolkit with Python-based solutions for mapping energy infrastructure.
• Reporters and journalists specializing in energy, geopolitics, or data-driven storytelling who want to create compelling, data-backed visualizations of energy infrastructure.
• Scholars and researchers studying the historical development of energy infrastructure, its impact on geopolitics, and its role in shaping modern societies.

Target Audiences

• Geopolitical Researchers focusing on the geopolitical implications of energy infrastructure, particularly in strategic areas like the Eastern Mediterranean, Europe, and Asia.
• Data Scientists who want to specialize in geospatial data visualization and its applications in the energy sector.
• Policy Makers and Consultants involved in energy policy, infrastructure planning, or consulting who need to understand and communicate complex geographical data related to energy systems.
• Professionals working in the energy industry who need to visualize and analyze pipeline networks and interconnectors across different regions.
• Geographic Information System (GIS) professionals looking to expand their toolkit with Python-based solutions for mapping energy infrastructure.
• Reporters and journalists specializing in energy, geopolitics, or data-driven storytelling who want to create compelling, data-backed visualizations of energy infrastructure.
• Scholars and researchers studying the historical development of energy infrastructure, its impact on geopolitics, and its role in shaping modern societies.