Learn Python-based flight test data analytics and visualization! This is the final video in this short course series on Python-based data analytics for aerospace development. Check out all five videos in this playlist to see the whole course!

Flight test creates big data! Did you know that a single instrumented test aircraft creates onboard data streams over 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

The course is produced by Daedalus Aerospace. Register now for the follow-on modules at https://www.DaedalusAero.Space and start using Python for flight test data analysis!