Description:

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Data Science draws heavily on statistics, machine learning and software engineering, but these disciplines aren't much help for coming up with the right problems to solve. Thankfully, other people have already given this area much thought. Whether you are building data products, instrumenting a business, or writing reports, there are useful ideas from other disciplines that will improve your ability to frame problems, scope projects, and communicate complex results.

This webcast examines a framework for incorporating ideas from other fields (like design, argument studies, and consulting) into Data Science. In the process we will explore a number of ideas, including the four things to figure out before starting any data project and how to use common patterns of argument to refine any idea.

About Max Shron

Max Shron is a New York-based data strategist. He provides expertise and mentorship to organizations across a wide array of sizes and industry verticals. He spearheads complex projects and provides a critical look at how organizations use data. Max was previously the lead data scientist at OkCupid, where he did data work for the widely read OkTrends blog. His personal work has appeared worldwide, including in the New York Times, Chicago Tribune, Huffington Post and on WNYC. He holds a degree in Mathematics from the University of Chicago.