Climate Change Economics using Data Science
Learn essential Object Oriented Programming concepts for Data Science applications. Covers classes, dataclasses, lambda functions, and more. Suitable for entrepreneurs, economists, data scientists, and energy professionals. Taught by a research fellow with a Ph.D. in Analytics and Mathematical Optimization. No prerequisites required.
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
What is the course about:
The course teaches that part of Object Oriented Programming that is actually needed in Data Science. And we learn how to use it and when.
We start with classes and dataclasses and we learn how and when to use dataclasses along with custom objects. We also go through lambda functions and use them with lists and dictionaries of custom objects.
We go through real-world examples and understand concepts such as metaclasses, superclasses, inheritance and polymorphism.
This is a necessary course for building efficient Data Science applications.
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. Just follow what is shown on screen, because we go slowly and explain everything in detail.
Who this course is for:
- 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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