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Data Science Modelling and Integration for Aviation

IATA Trainings - A06V006 - Virtual Class


Data Science Modelling and Integration for Aviation
  • Subjects
  • Target Group
  • Authority Approval
  • Prerequisites
  • Required Documents
  • Critical Information

What you will learn

Upon completing this course you will be able to:

  • Evaluate different data science methodologies to fit your business questions
  • Explore and prepare your data for analysis
  • Build regression models for reliable forecasting and predictive analysis
  • Build classification models for identifying opportunities to create a rigorous profitability analysis
  • Integrate this process and results into your daily work

Course content

The key topics that are covered during this course include:

  • Framing your business question
  • Data evaluation and transformation
  • Overview of commonly used Models in Data Science
  • Model Evaluation and Validation
  • Communication and Integration into workstream

This course is recommended for:

  • Aviation professionals familiar with data visualization tools; Logistics and IT service providers
  • Managers looking to strategically introduce data science principles to their workflow
  • Analysts looking to improve their command of analytical techniques
  • Revenue analysts, operations analysts, Operations Manager, Distribution Managers
An IATA Certificate of Completion is awarded to participants obtaining a grade of 70% or higher on an assessment. A special distinction is awarded to participants obtaining a grade of 90% or higher. 
  • Participants should have completed IATA's Data Science and Decision Support for Airline course, or have 2+ years’ experience dealing directly with data, i.e. working with data visualization tools, analytics tools.
  • Recommended level is Intermediate.
  • The recommended level of language proficiency is ICAO Operational Level 4 for courses in English or the equivalent level for other languages.


Building on IATA's Data Science and Decision Support for Aviation course, this advanced course is designed to provide hands-on experience with data science modelling and in-depth guidance on how to incorporate data science results into day-to-day operations and commercial decisions. This includes diving into the limitations and risks related to predictive analysis and forecasting, as well as the prerequisites and assumptions required to successfully interpret outcomes of data models and analysis. We will also discuss the implications of unexpected market events on data science models and results for better risk preparedness.



4 day (4x3 hour)


 1,626.00 USD (VAT Included)




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