Military Geopolitics using Data Science

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Dr. Spyros Giannelos

3:20:12

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1 - Global trends

1 - Global immigration analysis.mp4

11:15

1 - Link.txt

1 - migration.csv

2 - Military expenditure Global comparisons

2 - Military expenditure comparisons on Python Russia China USA EU India.mp4

23:04

3 - Eurasia and China Belt and Road initiative

3 - Belt and Road Initiative Python Design Basemap Package.mp4

34:51

4 - Belt and Road initiative Python Design using the Folium package.mp4

20:27

5 - Geopolitical analysis of Belt and Road Initiative.mp4

05:36

4 - NATO North Atlantic Treaty Organisation

6 - Interactive map of NATO using Geopandas.mp4

26:42

6 - resource used in the analysis for nato.zip

6 - tutorial on geopandas.zip

7 - NATO Geopolitical Analysis.mp4

04:56

5 - Global Alliances

8 - NATO.mp4

25:11

9 - The CSTO Collective Security Treaty Organisation.mp4

04:59

10 - The Shaghai Cooperation Organisation SCO.mp4

04:59

6 - Analysis of the Global NATO Geopolitical Scenario

11 - A summary.mp4

01:31

12 - Expansion to Europe.mp4

16:43

13 - Expansion to Middle East.mp4

10:24

14 - Expansion to Eurasia.mp4

09:34

Description

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

Who is this for?

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

What You Need to Know?

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".

More details

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 DataÂ 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 ONLYÂ 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.Â Just follow what is shown on screen, because we go slowly and explain everything in detail.
Who this course is for:
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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Data Analysis

Dr. Spyros Giannelos

Instructor's Courses

Dr. Spyros Giannelos, is a Research Scientist, leading energy projects using Mathematical Optimization & Data Science. Specifically such projects have been around energy investments with a focus on electricity. He holds a Doctor of Philosophy (Ph.D.) in Analytics & Mathematical Optimization from Imperial College London. His research interests include energy investments, optimization, data science, machine learning and quantitative finance.

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