Data Science Modelling and Integration for Aviation (classroom)

3-day (24 hours) classroom course

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.

Course code: TALF-99

Course format

• This classroom course provides 3 days (24 hours) of instruction delivered by an official IATA Instructor.
• Take this course at an IATA Training Center, Regional Training Partner, or on-demand as in-house training.
• Student performance will be based on an assessment.

Prerequisites

• 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 or the equivalent for courses held in languages other than English.

How to register

• When you click the Register button, you will be directed to log in to your Training Account.
• Register early and save up to 25% at our Training Centers! Please read the Terms and Conditions for the early bird discount.

In-house training

To arrange in-house training for your company, please complete the in-house training request form or contact the Training Specialist in your region.

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

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.