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Data Science and Decision Support for Aviation Finance (Classroom, 3 days)
Some of these topics are also explored in the following virtual classroom course:
This course introduces you to applied data analytics and machine learning practices in the aviation industry, with a focus on finance use cases. In today’s age of the digital customer, there is a growing need for data analysts, tech-savvy accountants, finance professionals and value-stream managers who understand digitalization and the transforming aviation business. How can you support the business with value-adding recommendations that will enhance commercial performance? This course will enable you to effectively identify and answer key business questions through hands-on training with business intelligence (BI) tools. Learn to interpret business needs and build reports that will optimize the decision-making process.
This classroom course provides 3 days (24 hours) of instruction delivered by an official IATA Instructor.
Student performance will be based on an assessment
Participants should have at least 2 years work experience in finance, accounting, business administration (not necessarily in the Finance department); or 2 years in handling large number of data to provide business decisions
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.
Effectively assess and prioritize business questions using a decision framework
Evaluate the potential of current market-leading analytics tools to aid your business
Build a report using best practices to assist in decision-making
Use analytics strategies to extract relevant information from reports to respond to business needs
Technology disruptions in the aviation industry
Data science and analytics basics
Emerging technologies relevant for aviation finance
Data visualization and Financial modelling
Who should attend
This course is recommended for Managers in:
An IATA Certificate of Completion is awarded to participants obtaining a grade of 70% or higher on all exercises and exams. A special distinction is awarded to participants obtaining a grade of 90% or higher.