Course Overview
Energy markets are shaped by complex factors including supply-demand dynamics, geopolitics, technological change, and the energy transition. Accurate analysis and forecasting are critical for managing risks, guiding investments, and ensuring resilience in a volatile sector.
This course provides a structured approach to energy economics, market modeling, and forecasting techniques. Participants will explore oil, gas, electricity, and renewables markets, applying quantitative and qualitative methods to predict trends and assess risks.
At EuroQuest International Training, the program combines economic models, forecasting tools, and case studies from global energy markets, ensuring participants gain both analytical depth and strategic perspective.
Key Benefits of Attending
Understand global energy market drivers and trends
Apply forecasting models for oil, gas, and renewable markets
Strengthen risk management in volatile energy sectors
Evaluate investment and trading opportunities with data insights
Develop strategies aligned with the global energy transition
Why Attend
This course enables professionals to transform market data into foresight, providing clarity for strategic decisions in energy trading, policy, and investment.
Course Methodology
Expert-led lectures on energy economics and forecasting
Hands-on labs with forecasting tools and datasets
Case studies from global oil, gas, and renewable markets
Group scenario-planning workshops
Interactive simulations of trading and investment decisions
Course Objectives
By the end of this ten-day training course, participants will be able to:
Interpret key supply and demand drivers in energy markets
Apply econometric and statistical models for forecasting
Analyze the impact of geopolitical and regulatory changes
Assess the role of renewables in shaping future markets
Use scenario planning to prepare for uncertainty
Evaluate risks and opportunities in energy trading
Forecast short, medium, and long-term energy price trends
Translate market insights into strategic recommendations
Build dashboards and visualization tools for executives
Strengthen resilience in investment and policy decisions
Integrate sustainability factors into market analysis
Develop a roadmap for continuous market monitoring
Target Audience
Energy analysts and economists
Oil, gas, and renewable energy professionals
Trading and investment managers
Policy makers and regulators in energy sectors
Strategy and risk management professionals
Target Competencies
Energy economics and market interpretation
Forecasting and scenario modeling
Risk and uncertainty management
Strategic energy investment analysis
Policy and regulatory awareness
Communication of analytical insights
Decision-making under volatility
Course Outline
Unit 1: Introduction to Energy Markets
Global supply-demand fundamentals
Structure of oil, gas, and electricity markets
Role of renewables and emerging technologies
Current global energy trends
Unit 2: Energy Economics and Price Drivers
Economic principles in energy markets
Demand elasticity and consumption patterns
Price formation in oil, gas, and power
Impact of substitutes and energy transition
Unit 3: Geopolitical and Policy Influences
Role of OPEC and other alliances
Energy security and geopolitics
Impact of regulation and subsidies
Case studies of market disruptions
Unit 4: Data Sources and Analytical Tools
Key datasets for energy markets
Forecasting software and platforms
Building robust data pipelines
Challenges in energy data quality
Unit 5: Forecasting Techniques I – Fundamentals
Time series methods for energy markets
Moving averages and exponential smoothing
Regression models for price forecasting
Short-term vs long-term forecasting
Unit 6: Forecasting Techniques II – Advanced
ARIMA and advanced econometric models
Scenario-based forecasting approaches
Monte Carlo simulation for uncertainty
Integrating macroeconomic indicators
Unit 7: Oil and Gas Market Forecasting
Crude oil demand and supply modeling
Natural gas markets and LNG dynamics
Refining and downstream forecasting
Energy transition impacts
Unit 8: Electricity and Renewables Forecasting
Load forecasting for electricity markets
Renewables integration challenges
Storage and smart grid impacts
Policy and investment implications
Unit 9: Risk and Uncertainty in Energy Forecasting
Identifying sources of uncertainty
Sensitivity and stress testing
Risk-adjusted decision frameworks
Case studies in risk management
Unit 10: Energy Trading and Investment Decisions
Linking forecasts to trading strategies
Evaluating investment opportunities
Portfolio diversification in energy assets
ROI measurement and evaluation
Unit 11: Communicating Forecasts to Stakeholders
Designing executive dashboards and reports
Data storytelling for decision-making
Translating analytics into strategic insights
Influencing boards and investors
Unit 12: Capstone Market Forecasting Project
Group forecasting exercise for oil, gas, and renewables
Scenario analysis and simulation
Presentation of findings to a mock board
Action plan for strategic adoption
Closing Call to Action
Join this ten-day training course to master energy market analysis and forecasting, equipping yourself to anticipate trends, mitigate risks, and guide high-value decisions.
The Energy Market Analysis and Forecasting Training Courses in Amman provide professionals with the analytical and strategic tools to understand market dynamics, assess price fluctuations, and predict trends in global and regional energy sectors. Designed for economists, analysts, policy advisors, and energy professionals, these programs focus on applying data analytics, economic modeling, and forecasting techniques to support informed decision-making in the evolving energy landscape.
Participants gain a deep understanding of energy market analysis, exploring how supply and demand fundamentals, geopolitical factors, policy developments, and technological innovations influence energy pricing and investment strategies. The courses cover key topics such as time-series forecasting, econometric modeling, scenario planning, and risk assessment. Through hands-on exercises and real-world case studies, participants learn to develop analytical models that evaluate energy trends, forecast consumption, and anticipate market opportunities across oil, gas, electricity, and renewable sectors.
These energy forecasting and analytics training programs in Amman integrate quantitative modeling with strategic market insight. Participants explore the use of data visualization, AI-driven predictive analytics, and simulation tools to improve market intelligence and policy planning. The curriculum emphasizes the interpretation of complex market data, effective communication of insights, and the integration of forecasting outputs into strategic and investment decision processes.
Attending these training courses in Amman offers professionals a unique opportunity to engage with international experts and peers in an intellectually stimulating, innovation-focused environment. The city’s strategic role in the regional energy ecosystem makes it an ideal setting for mastering market analytics. By completing this specialization, participants will be equipped to analyze market behavior, generate accurate energy forecasts, and guide organizations toward data-driven, forward-looking strategies that ensure resilience and competitiveness in a rapidly transforming global energy market.