Quantifying Energy Investments using Data Science

Quantifying Energy Investments using Data Science

What is the course about:

This course teaches how to use Data Science for investments in energy. Specifically, we learn how to calculate costs: fixed investment costs, variable investment costs, capital expenditure, and per unit costs.

We then learn how to discount these costs - using discount factors and cumulative discount factors.

Then, we learn how to identify mutual investments from large investment datasets.

We accompany these Python implementations with the theory of energy investments.

We also use the Learning curve and S- curve to understand more about the behavior of investment costs - how these costs change with more investment.

This is the absolute course for economic and financial studies on investments  (quantitative and theoretical).

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.
  

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

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What you will learn

• The theory of Energy Investments
• Flexibility, Drivers for Energy Investments
• Investment combinations for Offshore wind farms

Rating: 4.88

Level: All Levels

Duration: 6 hours

Instructor: Dr. Giannelos