TRAINING COMPETENCY DEVELOPMENT online

ICAO TRAINAIR PLUS - Aviation Data-driven Decision Making (AD3M) - Part 1 (Online)

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€ 462.00

Introduction

This Aviation Data-driven Decision Making (AD3M) online course explores the fundamental concepts behind data-driven decision making. This course is an ICAO course and after completion of the course you will receive an ICAO certificate.

This course will be delivered in cooperation with ICAO (US Dollar price = $ 500,-).

NOTE: The Fundamentals of AD3M online course can be completed as a standalone (Part 1), but it can be continued by attending the Classroom course (Part 2): Application of Aviation Data-driven Decision Making (AD3M).

Course Content

Module No.

Module Title

Module Objective

1

Introduction to AD3M

  • Define aviation data-driven decision-making
  • Describe the advantages and disadvantages of using this approach
  • Identify the steps in the data-driven decision making process

2

Data Management

  • Define the components of data management including data collection and data quality
  • Prepare, organize and manage data in order to conduct statistical analysis

3

Metrics and Indicators

  • Define indicators
  • Determine what makes good indicators
  • Define key performance indicators (KPIs)

4

Basic Statistical Analysis

  • Identify commonly used statistical analysis techniques
  • Differentiate among the various statistical analysis techniques

5

Visualization and Reporting

  • Identify the suitable tools for reporting and visual representation of analysis results

 

Learning Objectives

Participants who complete the AD3M online course will be able to explain the fundamental concepts behind data-driven decision making.

The following five online modules cover:

  1. What is AD3M? Challenges and benefits.
  2. Data management, data governance, data development, data quality, data security.
  3. What are metrics? Indicators. What makes a good indicator?
  4. What is data analysis? Types of statistical analysis. Descriptive statistics. Inferential statistics. Correlation vs Causation. Predictive analysis. Regression model.
  5. Data visualization. Basic charts, stacking, time series, scatterplots, maps, dashboards.

Who should take this course

Aviation professionals and managers from Civil Aviation Authorities (CAAs), airlines, aerodrome operators, and other service providers involved in collecting, managing, reporting or making decisions using aviation data.

Pre-requisites

none

Duration

13 hours

Locations & Dates
€ 462.00