Image credit: Relativity by Maurits Cornelis Escher

When should you add GitHub, Make and Docker to your data science workflow?

Image credit: Relativity by Maurits Cornelis Escher

When should you add GitHub, Make and Docker to your data science workflow?

Abstract

Without deliberate and conscious effort towards organization, tool choice, and process, complex and large data science projects can quickly grow out-of-hand and become irreproducible. This talk will discuss when and why one should add tools such as GitHub, Make and Docker to their data science workflow to mitigate chaos and maximize transparency, reproducibility, and productivity.

Date
Location
Bellevue, WA, USA
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Tiffany Timbers
Statistics Instructor & Option Co-Director of the Master of Data Science program

I am an Instructor in the Department of Statistics and an Option Co-Director for the Master of Data Science program at the of British Columbia. In these roles I teach and develop curriculum around the the responsible application of Data Science to solve real-world problems.