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Professional Certificate in

Aviation Analytics Course

Step into a whole new level to empower your career with Certification in Aviation Analytics. Witness global transformation with technical skills in analytics. Gain deep domain experience with this truly comprehensive course in Aviation Analytics.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Classroom & Online Sessions
  • 24+ Hours of Practical Assignments
  • Receive Certificate from Technology Leader - IBM
  • 2 Capstone Live Projects
  • 100% Job Placement Assistance
Aviation Analytics course - 360digitmg
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Start Date

Aviation Analytics

Aviation analytics course duration - 360digitmg

Total Duration

1 Month

Aviation analytics course pre-requisite - 360digitmg


  • Computer Skills
  • Basic Mathematical Concepts
  • Finance Basics

Overview of Aviation Analytics Course

Explore the most important methodologies, algorithms, and ideas in aviation analytics. Learn Statistical Analysis and Forecasting Techniques. Get acquainted with the Aviation System Components, Aviation Statistical Principles, Aviation Data Processing. Learn Forecasting Time Frame & Techniques, Regression Analysis, and how to collect and present data in Tables and Charts. This course will expose you to Feature Engineering, Fundamentals of Network Analysis, Data Exploration, Aviation Data Acquisition, Model Training, Assessment, and Comparison. Learn the integrities of Airport Management and Operations and also learn to assess and analyze data to optimize the performance of the airline and airport operations. Learn to examine the various security practices to contain threats and mitigate future occurrences.

What is Aviation analytic?

The airline traffic volume worldwide has grown exponentially and so has the big data generated and stored by airlines. Aviation analytics brings together data assets and provides world-class airport analysis and reporting to the airport management in a well-organized and coordinated way. Most of the organizations dealing with some aspects of aviation and flight management have adopted analytics as it helps them to develop their operational presentation and performance, asset maintenance, and profitability. It offers a solution to maximize the operating revenue of the organization. The aviation market is divided into several verticals and end-users. Given the verticals, the market is segmented into operations, finance, marketing, maintenance, and supply chain. On the other hand, the end-use market consists of airports and airlines.

Learning Outcomes of Aviation Analytics Course

Analytics has drastically changed the way the aviation sector connects with its customers, makes data-driven decisions, and builds the entire workflow to ensure quality is maintained from pre-flight to post-flight operations. This course will help you gain an understanding of how big data analytics is being used in aviation to respond to current and future market demands of this extremely complex landscape. The course aims to give you an overview of the fundamentals of Aviation Analytics and its applications and use cases. Learn from which data source the most important information is coming, to increase the operational efficiency and provide details like airport routes, predicting expected delay minutes, navigation paths, and gate arrival time. You will also learn the techniques, skills, and modern tools used for data acquisition in the aviation industry. Learn the modern approaches used for working with various data sources and the significance of big data tools in aviation. Explore the various machine learning case studies used in aviation and understand how data is generated and collected from the IoT sensors installed on the airports and flights. This course has been specially curated for students who wish to.

Examine and explore the challenges in Aviation Data Acquisition
Applications and benefits of AI and Data Science in the Construction Industry
Work with various data sources used in the Aviation sector
Advantages of Big Data tools in Aviation
Learn how to take actionable decisions using Data
Data Visualization techniques to derive insights into Aviation Data
Machine learning case studies applied to Aviation Data
Understand IoT sensors and Data generation from sensors of Flight & Airport
Learn about video analytics for the Crew Safety Management

Block Your Time

Aviation analytics course - 360digitmg

16 hours

Classroom Sessions

Aviation analytics course - 360digitmg

24 hours


Aviation analytics course - 360digitmg

16 hours

Live Projects

Who Should Sign Up?

  • Aviation Analysts
  • CFO/Director/Head of Finance
  • Business Analysts
  • Data Analysts
  • Risk Managers
  • Certified Aviation Analysts
  • Credit Analysts
  • Aviation Advisors
  • Math, Science and Commerce Graduates

Modules of Aviation Analytics Certification Course

These modules aim at providing the techniques, skills, and modern tools used in the aviation industry to improve operational performance and maintenance. The objective of the course is to develop an understanding of how raw data is collected from IoT sensors in the flight and airports, how it is then analyzed to maintain quality by using the applications AI and Data Science. Through these modules, you will also understand the various challenges in the Aviation industry and how actionable decisions are taken using insights from the data collected. These modules will also help students to understand how data analytic solutions influence the various aspects of aviation including revenue, maintenance, costs, and customer satisfaction.

CRISP-DM is a widely-used project management methodology for machine learning (ML) projects. It covers the entire ML process and is designed to be flexible and adaptable to various types of projects. The methodology includes steps such as business understanding, data understanding, data preparation, modelling, evaluation and deployment.

Exploratory Data Analysis (EDA) and preprocessing are important steps in analyzing aviation data. EDA is used to understand the characteristics of the data and identify patterns, while preprocessing is used to clean, transform and prepare the data for further analysis. These steps are crucial to ensure accurate and reliable results in aviation data analysis.

Airline customer segmentation is the process of dividing customers into distinct groups based on demographics, behaviour, and preferences. This helps airlines to understand and target specific market segments, create personalized marketing campaigns and provide tailored service to improve customer loyalty and increase revenue. Segmentation using K means algorithm

Machine Learning can be used to predict the likelihood of a fight being cancelled by analysing factors such as past cancellations, fighter injuries, and weather conditions. This can help event organizers plan for contingencies and make more informed decisions about event scheduling.

Linear regression can be used to predict flight ticket prices by analysing factors such as time of booking, destination, and historical prices etc. This can help passengers make more informed decisions about when to book their flights.

Machine learning can be used to predict customer satisfaction on flights by analysing factors such as flight delays, seating arrangements, and in-flight amenities. This can help airlines improve customer satisfaction and make data-driven decisions to enhance the overall flight experience for customers.

Artificial Neural Networks (ANN) or Multi-layer perceptron (MLP) can be used to predict flight delays by analysing factors such as past flight records, weather conditions, and maintenance issues etc.. This can help airlines to improve flight scheduling and reduce delays.

Natural Language Processing (NLP) can be used to analyse customer sentiment from reviews of airline data. This involves cleaning and preprocessing text data, and then using techniques such as sentiment analysis and topic modeling to identify patterns and understand customer opinions and perceptions of the airline. This can be used to improve customer service and enhance the overall customer experience

How we prepare you
  • Aviation analytics training with placements
    Additional Assignments of over 60+ hours
  • Aviation analytics course with placements
    Live Free Webinars
  • Aviation analytics training institute with placements
    Resume and LinkedIn Review Sessions
  • Aviation analytics course with certification
    Lifetime LMS Access
  • Aviation analytics certification
    Job Placements in Aviation Analytics Fields
  • best Aviation analytics course
    Complimentary Courses
  • best Aviation analytics course training
    Unlimited Mock Interview and Quiz Session
  • best Aviation analytics training with placements
    Hands-on Experience in Live Projects
  • Aviation analytics course
    Offline Hiring Events

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