Big Data Tech 2016 has ended
Sessions are categorized to help you find the technical level you are looking for. Mild sessions are less technical, while spicy sessions are very technical. 
Back To Schedule
Tuesday, June 7 • 3:00pm - 3:30pm
The Benefits of Spherical Cows (Hypothetical Modeling)

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Hypothetical modeling of complex systems provides guidance and direction by helping to define investigations, streamline and refine data collection, focus data analyses and digest results. Even absurdly simple “spherical cow” modeling can provide these benefits.
However, in the rush to data, hypothetical modeling is often overlooked by data scientists. We will explore how building “spherical cow” models can be used to create simulated data sets and how to utilize those data sets to inform and better develop data-driven investigations. Our exploration will focus on an example investigation into the optimization of passengers boarding an airplane. Using Python and its familiar data science libraries, we will reduce that system to its basic components to build our model. Then we’ll use that model to probe the system and gain insights prior to any actual data collection. Also, there will be dinosaurs.

avatar for Scott Ernst

Scott Ernst

VP of Data and Engineering, Camber Partners

Tuesday June 7, 2016 3:00pm - 3:30pm CDT
Garden Room (1st floor) 9700 France Ave S, Bloomington, MN 55431