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.