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Home / Analytics Specializations / Aviation Analytics Course
Professional Certificate in
Calendar-for-Virtual Interactive Classes
Start Date
Total Duration
1 Month
Prerequisites
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.
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.
Block Your Time
16 hours
Classroom Sessions
24 hours
Assignments
Live Projects
Who Should Sign Up?
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
Currently, the aviation analytic market is focusing to boost profitability from intelligence and analytics solutions for their business. The major factors driving the aviation analytics industry are jet fuel management, demand for real-time analytics, and increasing centricity in the aviation industry are the driving forces. Some of the significant players in the aviation analytics market include IBM, Oracle, Aviation analytics Ltd. SAS Institute, General Electric, etc. All aspects of aviation today are leveraging the benefits of using analytics for various ground and flight management operations, maintaining business aircraft services, and engineering airport profitability.
Airport Congestion is a global trend that is increasing by the day and airports across the world are expanding their operations and are using various parameters like terminal capacity, types of aircraft, travel price, etc. to identify patterns to counter the losses and to avoid accommodating overcapacity in future. Due to big data analytics a wide range of customer and operational needs are seeing the initiatives in the field of digitizing several operations in terms of real-time performance dashboards, automation in vehicle-to-vehicle communication, and predictive maintenance as many gifts of analytics to aviation. Many companies are deploying flexible and scalable cloud and digital architecture to develop an ecosystem that will support data-based decision making and help reduce costs and the ability to scale their data up or down as needed.
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+60 19-383 1378
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Bharani Kumar Depuru
Sharat Chandra Kumar
Bhargavi Kandukuri
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Aviation Analytics Certificate is your passport to an accelerated career path.
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"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
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And more...
One can pursue careers in airport management including flight schedule coordinator, air cargo administrator, public relations, customer service, and also within the state or government aviation agencies.
This course is for students and professionals already working in this field and wish to upgrade their skill set according to the latest trends.
Yes, you will be given a recognized course completion certificate from us.
Yes, we provide both online and classroom sessions for our students and working professionals to suit their convenience.
Yes, after you enroll for the course, you will be provided with valuable and resource material from our online Learning Management System AISPRY.
Yes, after you have submitted all your assignments and projects on time, you are eligible to enroll in our internship program with AiSPRY. You will also receive an Internship Certificate from them.
An Aviation Analyst is responsible for making decisions about flight routes, safety, equipment upgrades, and the overall flow of Aviation Administration.
Aviation analytics solutions are being actively adopted by many companies to improve their performance and profitability. The various career profiles in this field are of an aerospace engineer, airline pilots, aircraft equipment mechanics, air traffic controllers, and aerospace program manager, etc.
Salaries in this field are based on city, experience, skill, and employer. An Aviation Analyst in Malaysia earns anywhere between 25,500 INR to 80,100 INR per month.
Some of the latest innovative projects which can be built by students include energy gliders, smartphone-controlled paper planes, or Aerial mapping drones. These projects will help students get hands-on experience in working with real-time challenges.
The open-source tools in aviation help in collecting and analyzing data collected from sensors to make a data-driven decision. They also help understand the trends and insights about the industry to enhance customer experience with automation.
The course is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
The aviation analytics solutions are leveraged in the various aviation sectors which include management of fuel, revenue, customer analytics, and risk management.
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
4.8
I still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
I attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
I joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
The courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
I worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
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Class Schedule
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Benefits
Choose from programmes specially curated to suit each professional’s training needs.
6 Months
In Demand Work Integrated Learning Program (WILP)
The application fee is waived off, if you apply today!
Dive deep into analytics and transform your career in just 6 months.
Elevate your data insights and seamlessly transition from learning to working.
Offer ends on 22nd Dec, 2023
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