Aviation Analytics
Aviation Analytics (1 day)
The worldwide airline traffic volume is growing exponentially. So does the amount of big data generated and stored by airlines. This data consists of full-flight data from on-board sensors, aircraft maintenance records, passenger data, and route schedules, among others. In this course you will get an introduction to the most important methodologies, algorithms and ideas in aviation analytics. Learn which data sources provide the most critical information, explore navigation paths and airport routes, reduce percentage of delay minutes by predicting expected delay minutes, and optimize runway and gate arrival time for an increased operational efficiency.
Course Outline
- Aviation Analytics fundamentals
- Aviation data acquisition
- Data exploration
- Network analysis fundamentals
- Feature engineering
- Machine Learning fundamentals
- Model training, assessment, and comparison
- Model deployment
- Aviation Analytics – applications and use cases
All training exercises are based on datasets donated by our partner Flightradar24.
Who should attend
Aviation analysts, data Scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with Airline Analytics and want to make better use of their data.
Did not find the training you are looking for? Please feel free to ask for any other Advanced Analytics training.