Military Geopolitics Using Data Science

Showing how to use Data Science for military & Intelligence

What you'll learn
Use Data Science for Military & Intelligence
Gain insights into Military analyses with Python
Conduct analytical Population analyses using Data Science
Gain insights into military expenditure on a global scale
Economics
Analyse a long-term geopolitical scenario
Use Data Science for global military alliances
Part of the giannelos dot com official certificate

Requirements
The only prerequisite is to take the first course of the "giannelos dot com" program , which is the course "Data Science Code that appears all the time at workplace".

Description
What is the course about:Every country and every alliance (e.g. NATO, SCO, CSTO, etc ) has designed possible geopolitical scenarios that may play out in the next 5 years (short-term), 15 years (mid-term), and 50 - 100 years (long-term). Examples of alliances/organizations include the SCO (Shanghai Cooperation Organisation), the CSTO (Collective Security Treaty Organization), NATO, the European Union, etc, each of which has a number of geopolitical scenarios in place in order to be in a state of readiness for future outcomes.In this course, we show how Data Science is used in real-world Geopolitical, Military, and Intelligence Scenarios. We begin with a complete tutorial on geolocation, which is widely used for military applications. Then, we move on to alliances, such as NATO and SCO, and apply Data Science principles to gain greater insights. We also conduct military expenditure analyses as well as population analyses. Also, this is the ONLY course online, and the first time that a course is dealing with the analysis of a long-term geopolitical military scenario. Learn how to apply Data Science to military geopolitics!Who:I am a research fellow at Imperial College London, and I have been part of high-tech projects at the intersection of Academia & Industry for over 10 years, prior to, during & after my Ph.D. I am also the founder of the giannelos dot com program in data science.Doctor of Philosophy (Ph.D.) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London, and Masters of Engineering (M. Eng.) in Power Systems and Economics. Important:Prerequisites: The course Data Science Code that appears all the time at Workplace.Every detail is explained, so that you won't have to search online, or guess. In the end, you will feel confident in your knowledge and skills. We start from scratch so that you do not need to have done any preparatory work in advance at all. Just follow what is shown on screen, because we go slowly and explain everything in detail.

Overview
Section 1: Intro

Lecture 1 Overview

Lecture 2 Analyses

Section 2: Installation of necessary software

Lecture 3 Python installation

Lecture 4 Installing packages

Lecture 5 Various alternatives for installing the package Geopandas

Section 3: Tutorials on geolocation

Lecture 6 Geopandas Package: The commands you need for geolocation

Lecture 7 Tutorial: connecting 2 points linearly / nonlinearly on Python

Lecture 8 Plot the map of any region in the world !

Lecture 9 Plot any interconnector / pipeline in the world !

Lecture 10 Update the territory of a country in Geopandas

Lecture 11 Add the European Union in Geopandas

Section 4: Military expenditure analysis

Lecture 12 Military expenditure comparisons on Python - Russia, China, USA, EU, India

Section 5: Alliances

Lecture 13 Interactive map of NATO - using Geopandas

Lecture 14 NATO(part2)

Lecture 15 Geopolitical analyses

Lecture 16 The CSTO

Lecture 17 The Shaghai Cooperation Organisation (SCO)

Section 6: The "Global NATO 2100" Geopolitical Scenario on a Map

Lecture 18 Summary

Lecture 19 Expansion to Europe

Lecture 20 Expansion to Middle East

Lecture 21 Expansion to Eurasia

Section 7: Population Analyses

Lecture 22 Example: South Asia

Lecture 23 Population plots

Section 8: Bonus

Lecture 24 Extras

Working or interested in Military (planning),Working or interested in Intelligence (planning),Risk management (geopolitical risk / macro) and investments,Entrepreneurs,Economists,Quants,Members of the highly googled giannelos dot com program,Investment Bankers,Academics, PhD Students, MSc Students, Undergrads,Postgraduate and PhD students.,Data Scientists,Energy professionals (investment planning, power system analysis),Software Engineers,Finance professionals

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