What Is Water Data Science?

Presented on Wednesday, January 22, 2014

Discover what data science is and how it can help you during this half-hour online offering. You will learn about:
  • Leveraging analytical technologies and best practices to reduce the increasing complexity of managing large and disparate data sources
  • Utilizing data mining and predictive analytics to identify actionable insights that can be applied to managing business risks
  • How data management has evolved from using Microsoft Access and Excel to managing “big data” using the latest analytical tools.

Keith Modesitt
Keith Modesitt has been designing, developing, and deploying subsurface data management systems since 1991. As a geologist, he has managed all aspects of hydrogeologic, hydrologic, and geospatial data to identify actionable insights for sustainability, exploration, and risk management. Since 1999, Modesitt has taught accredited data management courses focusing on data quality, data integration, data mining, and predictive analytics. Currently, he is responsible for managing “big data” and applying data science best practices in the energy industry leveraging real-time operational and subsurface data. Modesitt holds a B.S. in geology from Eastern Michigan University.

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