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[lovewarez]

Quantifying Energy Investments Using Data Science
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 5h 45m​

Theory of Energy Investments, Learning Curve, Discount Factors, Capitalization, Data Analysis on Investments

What you'll learn
The theory of Energy Investments
Flexibility, Drivers for Energy Investments
Investment combinations for Offshore wind farms
How the investment cost reduces with the investment amount
Capitalization of investment costs
CAPEX calculation, Fixed, Variable and per-unit costs
Discount Factors and cumulative discounting
The subtitles are manually created. Therefore, they are fully accurate. They are not auto-generated.
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".

https://www.udemy.com/course/data_for_energy_markets/

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[KatzSec DevOps]

lovewarez salamat sa pag contribute. Next time always upload your files sa https://dl.katz.to para siguradong di ma dedeadlink. Let's keep on sharing to keep our community running for good. This community is built for you and everyone to share freely. Let's invite more contributors para mabalik natin sigla ng Mobilarian at tuloy ang puyatan.

 

[Gleg]

Quantifying Energy Investments Using Data Science
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 5h 45m​

Theory of Energy Investments, Learning Curve, Discount Factors, Capitalization, Data Analysis on Investments

What you'll learn
The theory of Energy Investments
Flexibility, Drivers for Energy Investments
Investment combinations for Offshore wind farms
How the investment cost reduces with the investment amount
Capitalization of investment costs
CAPEX calculation, Fixed, Variable and per-unit costs
Discount Factors and cumulative discounting
The subtitles are manually created. Therefore, they are fully accurate. They are not auto-generated.
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".

https://www.udemy.com/course/data_for_energy_markets/

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Thanks a lot!

 

[Gleg]

Thanks a lot!

 

[EdStone]

Hi All, how are you?

 

[weaka]

hii thank you