Oil and Gas Financial Fundamentals
• Overview of oil and gas sector financials
• Exploration, production, midstream, and downstream cost drivers
• Revenue modeling, pricing, and taxation
• Asset lifecycle and financial implications

Budgeting and Forecasting Techniques
• Budget models for capital and operational expenditures (CAPEX & OPEX)
• Volume-driven budgeting in upstream and downstream sectors
• Rolling forecasts and cash flow projections
• Integration of economic assumptions and commodity pricing

Data Analytics and Visualization Tools
• Excel functions and templates for dynamic financial modeling
• Power BI dashboards for operational and financial KPIs
• Data cleaning, merging, and transformation techniques
• Use of pivot tables, slicers, and DAX formulas

Financial Analysis and Performance Management
• Ratio analysis, trend analysis, and KPI tracking
• Break-even analysis and cost-volume-profit modeling
• Variance analysis and cost control strategies
• Investment appraisal: NPV, IRR, sensitivity testing

Scenario Analysis and Risk Assessment
• Monte Carlo simulation basics
• Forecasting under price volatility and geopolitical risks
• ESG impacts on financial modeling and planning
• Scenario planning for strategic decision-making

Reporting and Communication
• Designing effective management and board-level reports
• Customizing analytics outputs for technical and financial audiences
• Regulatory and sustainability disclosures in the oil and gas industry
• Case study: Integrated financial and operational reporting system

This course provides participants with the practical knowledge to translate complex datasets into actionable financial insights, improving business resilience and decision quality in the oil and gas sector.

Data Analytics and Financial Analysis for Oil and Gas Training Course in London

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