Climate Change Economics using Data Science

What is the course about: Climate change refers to long-term shifts in temperatures and weather patterns. These shifts may be natural, such as through variations in the solar cycle. But since the 1800s, human activities have been the main driver of climate change, primarily due to burning fossil fuels like coal, oil and gas. Burning fossil fuels generates greenhouse gas emissions that act like a blanket wrapped around the Earth, trapping the sun's heat and raising temperatures. In this course we look at the fundamental Climate Change Economics using Python. Who: Senior Research Scientists, part of high-tech projects at the intersection of Academia & Industry with a focus on Data Science projects.  Doctor of Philosophy (Ph. D.) in Analytics & Mathematical Optimization applied to Energy Investments,  and Masters of Engineering (M. Eng.) in Power Systems and Economics. Acknowledgements: To Himalaya Bir Shrestha who has been contributing to the development of Python scripts for this course and to Medium with insightful posts. Important: 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. If you need  help while taking any of the courses, please send a private message