Climate Change Economics Using Data Science

[LeeAndro]

Published 10/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.08 GB | Duration: 2h 24m

Economics on Climate Change

What you'll learn
Economics of Climate Change
Evaluating the effect of different measures in tackling climate change
Evaluating the Cliamte-change caused immigration, using Data Science
Tracking the carbon emissions intensity
and many more
Requirements
Basic Python
Description
To get a good sense of what this course is about :1.​

please watch the Video on the top-right part of the screen ( promo video ) 2. please watch the free videos. No pre-requisites: You really do not have to know Programming (for instance, Python or MATLAB). This is because we go through the commands in great detail and with many examples. So, you will not need to know them in advance. We start from scratch: This means that you do not need to have done any preparatory work in advance or to have attended any other introductory courses. This is because we really start from scratch. We go slowly, and fully explain what is needed.Nothing for you to guess or search online: There are courses, online, that give you a short description of the code they teach you. And then, they depend on you having to browse online and find what this code does. However, in this course, there is NOTHING for you to search around. Every line of code is explained in detail live - on screen. No slides, but live demonstration of what every command does .This way you save and learn exactly what is shown and why it is shown. For this reason, the recommendation is that you do not take any course before this one. We jump straight into action, and that is all that is needed.

Overview

Section 1: Evaluating Low-Carbon Actions that Reduce Greenhouse Gas (GHG) Emissions

Lecture 1 Maal Abatement Cost and Mitigation Potential (theory)

Lecture 2 Drawing the Maal Abatement Cost Curve on Python

Lecture 3 Interpreting the Maal Abatement Cost Curve and Cost Derivation process

Section 2: Climate-Change Immigration Analysis

Lecture 4 Immigration analysis

Section 3: Tracking the carbon emissions intensity

Lecture 5 Theory

Lecture 6 Drawing Emissions Intensity Plots across Europe spanning 2 decades

Lecture 7 Interpretation of the plots that we produced

Section 4: Tracking the progress of electricity access

Lecture 8 Electricity Access. Application: South Asia

Section 5: Tracking the share of Renewables in the electricity generation mix

Lecture 9 Generation mix : Application South Asia

Economists,Quants,Data Scientists,Energy professionals,PhD students

HomePage:

Https://anonymz.com/https://www.udemy.com/course/climate-change-economics/

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https://1dl.net/bt6rwgoquiq9/t8dqmPO3__Climate_Ch.part1.rar.html
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