Greek aviation demand is heavily influenced by tourism cycles, so statistical models that explicitly handle seasonal effects are more useful than simple trend extrapolations for capacity and revenue planning.
Aviation Statistical Analysis and Forecasting Techniques Online Course
Join our virtual, live instructor-led session and master Aviation Statistical Analysis and Forecasting Techniques Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| ASA-10 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| ASA-10 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ASA-10 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ASA-10 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| ASA-10 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ASA-10 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Aviation Data Ecosystem and ICAO Standards
Descriptive Analytics and Performance Metrics
Time-Series Analysis for Traffic Forecasting
Econometric Modeling and Demand Elasticity
Fleet Planning and Capacity Forecasting
Airport Infrastructure and Throughput Analysis
Revenue Management and Pricing Analytics
Risk, Uncertainty, and Monte Carlo Simulation
AI and Machine Learning in Aviation Analytics
Environmental Impact and ESG Modeling
Data Visualization and Executive Dashboards
Strategic Integration and Action Planning
Market-specific guidance for Greece
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
5Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Power BI MicrosoftUsed to build traffic dashboards, monitor load factors and route performance, and share forecasts with commercial and finance teams.
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SAP Analytics Cloud SAPUsed for enterprise forecasting, scenario planning, and combining operational and financial data in one planning environment.
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IBM SPSS Statistics IBMUsed for regression analysis, hypothesis testing, and time-series forecasting in aviation analytics workflows.
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Tableau SalesforceUsed to visualize passenger trends, seasonal patterns, and route profitability for management reporting.
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Python Python Software FoundationUsed for ARIMA modelling, Monte Carlo simulation, and repeatable statistical analysis of aviation datasets.
Where this course runs
Aviation Statistical Analysis and Forecasting Techniques Training is delivered in the cities below — pick the one that fits your schedule.























