Course Overview: The energy industry deals with an immense amount of data daily. Data analytics plays a pivotal role in driving efficiency, reducing production costs, and enhancing safety within the industry. Some applications of data analytics in the energy sector include optimizing production efficiency and cost saving, locating oil and gas sources without risking hazardous procedures, improving worker safety and environmental protection during drilling operations, forecasting maintenance events, which reduces reactive downtime and optimizes large-scale maintenance operations and many more. As technology continues to evolve, the energy sector will increasingly rely on data analytics to unlock its full potential. This course focuses on leveraging data analytics to extract valuable insights in the energy sector. Participants will explore techniques for collecting, processing and analyzing large datasets from various sources such as sensors, production systems, and market trends. The topics that will be covered include;

• Data visualization
• Predictive modeling
• Risk assessment
• Strategic decision-making