College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.
No programming knowledge needed. You will learn from scratch!
Aspiring Analytics Professionals
Those aiming to build careers in domain-specific analytics .
Graduates seeking careers in analytics and forecasting
Freshers from IT, business, economics, statistics, life sciences, engineering, or related fields looking to enter analytics roles in their chosen domain.
Gain strong command of Machine Learning, Deep Learning, Cloud Platforms, Big Data, SQL & NoSQL Databases, Business Intelligence tools, and DevOps practices tailored for aviation analytics applications.
Successfully contribute to projects involving aviation-focused machine learning models, cloud-based analytics solutions, and automated data pipelines for areas such as flight performance optimization, passenger experience analysis, maintenance forecasting, and operational efficiency.
This program is designed for graduates and professionals eager to leverage Aviation Analytics expertise and earn a valuable PG Diploma from a leading U.S. university. The blended curriculum brings together the best of multiple courses, delivering in-depth knowledge without compromising content quality or quantity.
Participants will experience rigorous, multi-platform training that includes live virtual classes, pre-recorded lectures, interactive chat support, expert mentoring, domain-specific projects (end-to-end capstone and mini projects in marketing analytics), pre-assessments, post-assessments, quizzes, and more.
The program is ideal for both fresh graduates and working professionals seeking to accelerate their careers in data analysis, campaign optimization, customer insights, and ROI-driven decision-making through the power of analytics.
Goal: Understand aviation industry operations and how analytics supports decision-making.
Topics:
Overview of the aviation ecosystem (airlines, airports, ATC, maintenance, logistics)
Types of aviation data: flight operations, maintenance logs, passenger data, weather, ATC logs
Introduction to Python for aviation analytics
Basics of SQL & NoSQL for aviation datasets
Key aviation KPIs: On-Time Performance (OTP), load factor, fuel efficiency, turnaround time
Goal: Learn to acquire, clean, and integrate diverse aviation data sources.
Topics:
ETL/ELT processes for aviation datasets
Integrating data from flight tracking systems, IoT sensors, MRO databases, and passenger service systems
Handling structured & unstructured data (text reports, images, sensor streams)
Cloud-based data storage for large-scale aviation data
Goal: Apply statistical methods to improve aviation decision-making.
Topics:
Descriptive & inferential statistics for aviation metrics
Forecasting passenger demand and route profitability
Delay analysis & root cause identification
Maintenance cycle prediction using time series analysis
Fuel consumption optimization models
Goal: Build ML models for safety, efficiency, and profitability.
Topics:
Predictive maintenance with supervised learning
Flight delay prediction models
Passenger segmentation for personalized services
Risk detection & anomaly detection in operations
Weather impact analysis using ML models
Goal: Present aviation analytics insights for operational and strategic decisions.
Topics:
Power BI/Tableau dashboards for flight operations & passenger analytics
Real-time dashboards for flight status and safety monitoring
Data storytelling for aviation executives and operations managers
KPI-driven visual reporting for regulatory compliance
End-to-end business analytics project
Real-world case studies with domain context
Resume building, mock interviews
Analytics roles & career path support
DERIVE provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. Fuzen IT in collaboration with DERIVE offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.
The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.
Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful
Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.
You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.
Fuzen It Solutions is a global AI-first EdTech and technology solutions company leading the way in education and workforce transformation.
To deliver future-ready IT programs that align with industry demand and learner aspirations. FUZEN IT is committed to expanding access, improving outcomes,
and continuously evolving our courses to help students achieve growth, confidence, and success in the digital and AI world.
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