Data science has tremendous potential to extend our capabilities and empower organizations to accelerate their digital transformation by infusing apps and experiences with AI. Danielle Dean covers the basics of managing data science projects, including the data science lifecycle, and offers an overview of an internal approach at Microsoft, the Team Data Science Process (TDSP). TDSP is an agile, iterative data science methodology to deliver predictive analytics solutions and intelligent applications efficiently. TDSP helps improve team collaboration and learning and is a distillation of the best practices and structures from Microsoft and others in the industry that facilitate the successful implementation of data science initiatives. Join in to learn more about the typical priorities of data science teams and the keys to success on engaging and creating value with data science.
Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.
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