Friday 9:00 AM–10:30 AM in Central Park East (#6501a)

Up your Bus Number: A Reproducible Data Science Workflow

Kjell Wooding, Amy Wooding

Audience level:


How fragile is your data science pipeline? Can you recover from a laptop crash? Can you reproduce last year's analysis? (Can your co-workers?) This tutorial will take you through the process of making your data science work reproducible: from using the right tools, to creating reproducible workflows, to patterns for testing, automating, and sharing your results.


The Right Tools for the Job

"Raw data is Read-Only." Sing it with me.

We're gonna (data) science the *@#! out of this

Testing? Already? But I'm not done yet?!

I'm only here for the Pretty Pictures

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