Abstract: In dealing with hundreds of Data Science teams around the world, our team has had a consistent request: A proven, standardized methodology for Data Science that folds into standard IT practices (such as SDLC’s and DevOps) and governance. The Team Data Science Process (TDSP) is a robust, yet flexible, fully-documented and defined process you can use for consistent, successful Data Science projects. The TDSP takes into account all phases, roles and skills in a solution. Buck Woody, an Applied Data Scientist from Microsoft Research and AI, will explain how the TDSP works, provide you resources to use in your organization, and walk you through a practical example using Python.
Bio: Buck Woody works at Microsoft Research, using data and technology to solve business and science problems. With over thirty years of professional and practical experience in computer technology, he is also a popular speaker at many conferences around the world; the author of over 700 articles and seven books on databases, machine learning and R, teaches and sits on the Data Science Board at the University of Washington, and specializes in data analysis techniques.
Applied Data Scientist at Microsoft