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Intro to Flight Test Data Analytics with Python
Rating: 4.2 out of 5(84 ratings)
3,366 students

Intro to Flight Test Data Analytics with Python

Learn Python-based flight test data analytics and visualization
Created byDavid Kern
Last updated 12/2022
English

What you'll learn

  • Understand the advantages of Python over Excel or MATLAB
  • Complete a guided installation of open-source Python tools
  • Use Python commands to import and structure data from flight test aircraft
  • Create graphs of flight test parameters using Python tools

Course content

1 section • 5 lectures • 36m total length

  • The need for Python-based flight test analytics4:26
  • Problem statement and course expectations2:27

    Explore how Python powers flight test data analytics, from importing Excel, CSV, and text files to data analysis and visualization, future-proofing aviation careers.

  • Demonstrating flight test use cases for Python-based data analytics26:49

    Demonstrate flight test data analytics with Python using Pandas, NumPy, and Matplotlib to import Excel data from a simulator, plot key parameters, and slice data into test points for export.

  • Preview of Upcoming Instructional Modules1:23
  • Summary and Conclusions1:30

Requirements

  • No coding experience required. A sample flight test data set is provided with the course.

Description

Flight test creates big data! Did you know that a single instrumented test aircraft creates onboard data streams > 5 MB/sec, or a few gigabytes during the mission? Aerospace programs deal with terabytes of data. Don't just collect the data... what's your plan for analysis?

Flight test is all about getting the data, but flight testers need the right tools to handle the volume and complexity of data signals generated by modern instrumentation. Learn how to use Python with our open-source modules to visualize your flight test data.

MATLAB is often taught as a tool for data analysis, but the modules can be pricey and proprietary.

Data handling in Excel is time consuming and laborious.

Time spent processing data is time that's not spent analyzing data and getting to results. Python is the most sought after language for data analytics today, so we are teaching how to use Python based applications to analyze and interpret flight test results.

This course is unique, because we use a flight test data set to demonstrate the use of Python!

  • Demonstrations make sense when the examples are relevant to actual needs

  • Real flight test data from actual flight assets would face proprietary or classification issues...

  • This course uses data tapped from commercially available flight simulators to show flight test techniques

Register now and start using Python for flight test data analysis!

Who this course is for:

  • This course is focused on flight test engineers, test pilots, instrumentation specialists, and aerospace students/researchers.

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