A new report on energy trends has been published and can be found by clicking on ‘Classroom’ and navigating to Section 6.2 (see the attached screenshot). You can use this report and the visualisations it includes, in your own projects, work, or studies, without limits. This report explains the progress for the UK’s hydrogen rollout. The report includes diagrams and flowcharts that provide context, and also a list of relevant sources that were used to complete this report. These sources are from the Financial Times, Wall Street Journal, the Economist and Investors Chronicle (all sources are available inside the report). Your subscription in this Skool community gives you access to paywalled energy-economics articles from these publications (Financial Times etc) indirectly through these reports. I have also included some explanations and additional text that explains some details. The text is written in beginner-friendly, easy-to-understand language. Reading these reports can help with interviews, meetings, presentations, networking, and public speaking. Strongly recommended.

Hey everyone, I’m asking this because LLMs weren’t really part of our workflow before, but now that they’re available it’s difficult not to leverage them given their productivity benefits. How are you using LLMs in data science workflows, and what best practices should I be aware of? Also, from a manager’s perspective, what expectations or concerns do you have about their use? PS: I am one of those that do not use it much especially for work or academia and looking for the correct ways to integrate it.

This weekend I visualized how electricity access has changed across West Africa over the last 18 years — and the progress is striking, though uneven. Ghana – Near-universal access. A regional benchmark. Côte d’Ivoire – Strong, consistent growth into the top tier. Nigeria – Big improvement, but population size keeps the gap wide. Senegal – Solid gains driven by energy reforms. Mali & Burkina Faso – Progress, but still constrained by infrastructure. Niger – Improvement visible, yet access remains very low. Sierra Leone & Liberia – Large relative gains from low starting points. West Africa is advancing — but where you live still determines whether you have power. I’m excited to continue exploring how data can drive better decisions in energy, development, and policy. Which country’s progress surprised you the most? Data source: World Bank

In the United Kingdom, the electricity grid is under urgent modernization. As a result a massive hiring boom is happening, with the sector workforce expected to grow significantly over the next years. Backed by billions in funding approved , major electricity grid operators like Scottish Power and National Grid are rapidly expanding but face a shortage of experienced staff! There has never been a more critical or lucrative time to join the energy sector. This massive hiring growth is a global phenomenon, driven by the urgent, worldwide transition to decarbonisation. As demand skyrockets and the industry faces a talent shortage, the barrier to entry has hit historic lows. The right time is now to pivot into a field that offers not just high pay, but long-term stability and the chance to work anywhere on the planet. To guarantee a role in any country within six months, focus on the industry’s most valuable intersection: energy and analytics. By learning Data Science, Machine Learning, and Optimisation specifically for energy, you enter a niche where skilled professionals are so scarce that securing a job often takes just one to five interviews! You can find everything you need to master these high-demand skills in the Classroom, which offers over 100 specialized courses designed to fast-track your career. Attached is a screenshot that illustrates the situation in the power grid sector in the United Kingdom. A detailed report on this topic has been added in Classroom section 6.3 (career support). Sources: 1. Financial Times: https://www.ft.com/content/281a5a46-b1a6-4ba3-868f-4745a0d2e1b0? 2. Investors' Chronicle: https://www.investorschronicle.co.uk/content/d0ecf236-45f5-4ca2-a897-c6533fc8d3ba? 3. Wall Street Journal: https://www.wsj.com/business/energy-oil/britain-pushed-ahead-with-green-power-its-grid-cant-handle-it-b674c413? 4. The Economist: https://www.economist.com/business/2025/01/05/a-new-electricity-supercycle-is-under-way

Massive investments in AI infrastructure. See attached image. a) How will this affect investments in the Energy Sector ? b) How will this affect demand for data scientists/ Software Engineers in Energy Sector? c) What salary ranges in the Energy Sector do we expect e.g. increase/ decrease etc? d) Which regions do you foresee maximum growth ?