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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.