Data Science for Decision Making in Aviation (classroom)

CLASSROOM

About the course

3-day (24 hours) classroom course

Today, aviation companies are recognizing the importance of data to drive efficiency, cost savings and productivity. In this climate, does your organization have sufficient data literacy to support decision-making? Are your finance and other teams well-versed with different analytics tools and techniques to generate valuable insights? This course takes you through the process of using data analytics to identify your business priority, determining the correct analytical tools to address the priority, using visual analytics tools to arrive at optimum decisions, and finally, building easy-to-understand reports to present the data and gain support for the decisions. Equipped with hands-on exercises, you will practice dashboarding, visualization techniques and report generation.

Course code: TALF-93

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 at least 3 years of work experience in the aviation industry 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.

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

2 additional classes are scheduled

Data Science for Decision Making in Aviation (classroom)

United Kingdom, London (IATA)

5 - 7 July, 2023

Register before Apr 05, 2023 to take advantage of the 20% Early Bird discount (only for payment by credit card or ICH)*. The price below includes this discount. *Terms apply

Please register by 14 Jun

Find out more about our Early Bird Terms.
All prices are before tax and include applicable discounts.
Class no: 171966 English

Dev. Nations

USD 964

Member

USD 1,240

Regular

USD 1,380

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London - Imparando Training Center Information

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Data Science for Decision Making in Aviation (classroom)

United States, Miami (IATA, ACCET Accredited)

18 - 20 December, 2023

Register before Jun 18, 2023 to take advantage of the 25% Early Bird discount (only for payment by credit card or ICH)*. The price below includes this discount. *Terms apply

Please register by 29 Nov

Find out more about our Early Bird Terms.
All prices are before tax and include applicable discounts.
Class no: 172034 English

Dev. Nations

USD 904

Member

USD 1,163

Regular

USD 1,294

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The IATA Training Center in Miami is ACCET Accredited

Miami Training Center Information

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What you will learn

Upon completing this course you will be able to:

• Effectively assess and prioritize business questions using a decision framework
• Evaluate the potential of current market-leading data analytics tools to aid your business
• Translate business questions into visual analytics solutions
• Add flexibility to make reporting dynamic for addressing the evolving business priorities
• Extract value from your data using analytical techniques

Course content

The key topics that are covered during this course include:

• Step-by-step process of visual analytics and reporting
• Time series forecasting and machine learning
• Hands on activities:
  • To create data dashboards
  • To generate reports using visual analytics
• To generate financial reports using business intelligence tool

Who should attend

This course is recommended for aviation professionals:

• Finance, Revenue Management, Sales
• E-commerce
• Distribution
• Operations
• Logistics
• IT service providers

Certificate awarded

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.