This advanced program trains learners to apply big data and analytics across the full oil and gas value chain. Through real datasets and end-to-end projects, participants master forecasting, optimization, and decision-making using modern data science and industry tools.
What You'll Learn
Apply big data & advanced analytics across E&P, transportation, and refining
Perform production forecasting and build time-series models using field data
Analyze storage performance and optimize midstream operations
Use ML/DL methods to forecast consumption & market demand
Interpret gas price trends using market analytics techniques
Build an end-to-end capstone covering full lifecycle datasets
Strengthen decision-making with modern data science tools
Course Curriculum
1Overview of data science applications across upstream, midstream, and downstream sectors
2Python tools and libraries for big data analytics in energy
3Role and importance of big data in oil & gas operations
4Well log and core data analytics: cleaning, preprocessing, normalization
5Production data visualization and interpretation
6Time-series forecasting for multi-field gas production trends
7Gas storage analytics: depleted reservoirs, salt caverns, aquifers
