Agile data science

Agile data science

March 4, 2018

Agile development is a well-established practice for modern software development that gained broad adoption as software became ubiquitous in the business world. As data science matures in the organization, perhaps we are at a similar crossroads. What can data science learn from the agile approach? I'll share my experience as a data scientist in an agile product development group – what agile practices have proven most valuable, how R has enabled an agile approach, and where data science may need its own set of agile principles.

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About the speaker

Elaine McVey

Elaine works at the intersection of data science and business, leading the company to take full advantage of data as part of their analytics-driven, film-based storytelling platform. This includes data strategy, data infrastructure, reporting, and delivery of predictive analytics.