Development

Optimization and Data Science for Energy Investments

What you’ll learn

  • Theory on Energy investments
  • Make models of Energy Investments using Python.
  • Data analysis & economics of energy projects step by step.
  • The subtitles are manually created so they are fully accurate. They are not auto-generated.

Requirements

  • We start from scratch and build confidence as we go.

Description

What is the course about: Optimization and Data Science for Energy Investments

Assume that you are a consultant and a company hires you to conduct analyses for a client that plans to make investments in energy projects.  This course gives you all the skills you need to perform such analysis, and is based on real-world industry projects.


Who:

Dr. Gian is a Research Fellow at Imperial College London ; I have been leading academic-industry projects related to energy investments using mathematical optimisation, machine learning and data science.

  • Doctor of Philosophy (PhD) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London.
  • Master of Engineering (M. Eng.) degree in Power System Analysis (Electricity) and Economics from National Technical University of Athens. 

Special Acknowledgements:

To Himalaya Bir Shrestha who has been contributing to the development of Python scripts for this course and to Medium with insightful posts.

Pre-requisites:

No pre-requisites and no experience required.

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 understand everything in detail.

Who this course is for:

  • Enterpreneurs.
  • Economists.
  • Investment bankers.
  • Data Scientists.
  • Portfolio Managers with a focus on Energy projects.
  • Postgraduate and PhD students.
  • Academics.
  • Finance professionals.

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