Climate Change Economics Using Data Science

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 time 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 Marginal Abatement Cost and Mitigation Potential (theory)
Lecture 2 Drawing the Marginal Abatement Cost Curve on Python
Lecture 3 Interpreting the Marginal 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
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