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Energy Geopolitics using Data Science

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The Algorithmic Economist (PhD)

4:36:23

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  • 1. Introduction.mp4
    01:24
  • 1. Installing Python.mp4
    02:18
  • 2. Installing packages.mp4
    05:34
  • 3. Challenges with the geopandas package.mp4
    03:27
  • 1. Tutorial on geopandas.mp4
    07:49
  • 2. Connecting two points on a map, linearly and nonlinearly.mp4
    09:45
  • 3. Design the map of any region in the world.mp4
    06:37
  • 4. Plot any interconnectorpipeline in the world.mp4
    18:36
  • 5. Update a countrys territory on Geopandas.mp4
    13:59
  • 6. Add the European Union in Geopandas.mp4
    11:50
  • 1. Turkstream pipeline design.mp4
    26:11
  • 2. Eastmed pipeline design.mp4
    14:02
  • 1. First step setting the basemap.mp4
    13:48
  • 2. The NeuConnect Interconnector.mp4
    21:40
  • 3. The Northsea electricity interconnector.mp4
    06:57
  • 4. The Viking electricity interconnector.mp4
    03:33
  • 5. The BritNed electricity interconnector.mp4
    02:15
  • 6. The Nemo electricity interconnector.mp4
    02:16
  • 7. The Ifa and Ifa2 electricity interconnections.mp4
    02:50
  • 8. Draw all electricity interconnectors in North West Europe.mp4
    04:03
  • 9. Technical and geopolitical analysis.mp4
    12:36
  • 1. Nordstream pipeline Python design.mp4
    05:34
  • 2. Geopolitical analysis.mp4
    02:27
  • 1. Energy interconnectors in South Asia (India, etc).mp4
    15:19
  • 2. Belt and Road Python Design (Basemap).mp4
    34:51
  • 3. Belt and Road Python Design (Folium).mp4
    20:27
  • 4. Belt and Road geopolitical analysis.mp4
    05:36
  • 1. Conclusions.mp4
    00:39
  • Description


    Energy Geopolitics, Geospatial Data Visualization, Data Analysis in Python

    What You'll Learn?


    • A great course that uses python! Learn the details from an expert!
    • Use Q&A forum for your questions!
    • The course is regularly updated. Visit every 6-12 months to view the updated material!
    • 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 is this for?


  • 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.
  • What You Need to Know?


  • Basic knowledge of Python programming is beneficial but not mandatory.
  • More details


    Description

    1. AFTER YOU BUY THIS COURSE, VISIT OFTEN TO DOWNLOAD THE UPDATED CONTENT

    I UPDATE THE CONTENT EVERY 6-12 MONTHS! 


    2. WHAT THIS COURSE IS ABOUT

    This course offers a comprehensive exploration of geolocation techniques in Python, covering a range of mapping tasks from basic to complex. Key topics include plotting interconnectors and updating territorial boundaries, providing students with practical skills applicable to real-world scenarios.

    The course stands out by applying these technical skills to map actual energy infrastructure projects across diverse regions, including the Eastern Mediterranean, North West Europe, North East Europe, and Asia. This practical approach bridges the gap between theoretical knowledge and real-world application, making the learning experience more relevant and engaging.

    A unique aspect of this course is its integration of technical implementation with geopolitical analysis. This combination offers students not just programming skills, but also valuable insights into global energy infrastructure development, enhancing their understanding of the broader context in which these technical skills are applied.

    The course is designed to appeal to a specific audience, targeting professionals in the energy and defence industries, as well as geopolitics enthusiasts. This focus allows for tailored content that directly addresses the needs and interests of these groups.

    Importantly, the course requires no prerequisites and assumes no prior experience, making it accessible to beginners while still offering valuable content for more experienced individuals. The regular updates to the course material ensure that students have access to the most current information and techniques, reflecting the dynamic nature of both the technology and the geopolitical landscape.

    This unique combination of technical skills, real-world applications, and geopolitical insights makes the course an invaluable resource for anyone looking to understand and engage with the complex world of global energy infrastructure. By providing both the tools to analyze and map these systems, and the context to understand their significance, the course equips students with a powerful skillset applicable in various professional and academic settings.

    Who this course is for:

    • 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.

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    The Algorithmic Economist (PhD)
    The Algorithmic Economist (PhD)
    Instructor's Courses
    I have a PhD in Economics, from Imperial College London, and since 2012 I have been conducting research and consultancy in this field.Feel free to connect with me on LinkedIn, which is /in/spyrosgnlI founded the Algorithmic Economist, which offers education in data-driven economics, where my expertise lies. You will learn how to conduct economic analyses using optimization, machine learning, and data science.My teaching style uses simple, easy-to-understand language and plenty of examples.My vision is to democratize this knowledge and make it more accessible. There are currently very few tutorials in this domain, and academic publications/textbooks often use complex language and are quite outdated.If you need support, please reach out to me on LinkedIn. I share additional resources from time to time.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 28
    • duration 4:36:23
    • Release Date 2024/11/17

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