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Home / Analytics Specializations / Aviation Analytics Course
Professional Certificate in
"By 2021 - 2028, the Aviation Analytics Market is estimated to reach USD 4.36 Billion". One industry that has never failed to dazzle us with its wonders has been the Aviation domain. It is a validation of how far human intervention has come by breaking barriers between science and creativity. Integrating big data analytics into aviation has been a testimony of unprecedented growth that has taken the aviation industry to the next level. Aviation analytics is gaining significant momentum as it provides solutions to managing fuel, revenue, customer satisfaction, and risk across all the divisions of the aviation industry. It helps in analyzing business challenges, improving operational performance, maximizing revenue, monitoring, and planning the futuristic goals of an organization to increase profitability. An increase in data generation, an increasing focus on artificial intelligence, and the rising level of air passenger traffic have led to a hike in the demand for aviation analytics.
INR 12,000/-
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.
16 hours
Live Sessions
20 hours
Python Programming Videos
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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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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"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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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 online interactive live 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 India 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 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've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
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