Can you share some combinations of Online Courses to take, for the career pathway of Data Science for Energy and/or ML for energy and/or Optimisation for energy?

Please if someone could help with self explanatory code on the attached PDF I would highly appreciate. of course Dr Spyro has covered almost all aspect in his class but I have not reach there yet. This is an Assignment and also exams question in my Msc Python classes. Thank you as I await your inputs please

I've just uploaded a new report to the Classroom section in 6.2, under "Energy Commodities". It is about Europe's natural gas storage situation and the risks from colder winter forecasts. Europe's natural gas system is facing serious risks this winter 2025-2026, particularly in Germany. Weather forecasts predict temperatures will be about 4°C colder than originally expected, which means people will use more gas for heating and power plants will burn more gas for electricity. Germany is entering winter with gas storage tanks only three-quarters full instead of nearly full like in previous years. If the winter turns out to be colder and longer than normal, computer models show Germany could use up most of its stored gas well before winter ends. The report also mentions policy recommendations to prevent a gas crisis

At this stage in my career, there are certain skills I need to learn and develop quickly. Since I want to move into the Quant department, I'll need to work primarily on forecasting electricity markets and understand the dynamics of these markets. Our Quant department typically focuses on demand forecasting, generation forecasting, and price forecasting. Your courses in the Classroom section cover a variety of areas, and I appreciate for all of them. However, since I need to progress quickly in these areas, do you have any alternative pathway you can recommend?

Do you have any good paper or book recommendation for energy trading? (such as gas trading, oil trading). I want to change my focus area to commodity trading.