The Database Professional's Guide to the Data Science Path using the Microsoft Data Platform

65 Minutes

If you're a user or administrator of Microsoft data products like SQL Server, then this session will help you get on the road towards a career as a data scientist. In this session, Kevin, a veteran Microsoft Data Platform MVP and popular international speaker, will take you on a tour of Microsoft's Team Data Science Process(TDSP), revealing Microsoft's systematic approach to building applications which empowers teams of data scientists to collaborate effectively over the full life cycle of activities needed to turn these applications into full-fledged products. We will also explorer commonly used Microsoft products for data science, including Cortana Intelligence Suite, R Server, and utilities like Data Exploration Analytics and Reporting (IDEAR), for interactive data exploration, and Automated Modeling and Reporting tool, for Machine Learning (ML) models.

Summary: An intro into the Microsoft Team Data Science Process, the Cortana Intelligence Suite, and Machine Learning in R for the creation of a full-fledged data science solution. This curriculum overview helps a data professional to morph into a data science professional.

Speaker Kevin Kline

Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne, a leading vendor of database tools for the Microsoft data platform. A Microsoft data platform MVP since 2003, Kevin was a founding board member and former president of PASS. He has written/co-written eleven books including the best-selling SQL in a Nutshell. Kevin is a monthly columnist for DBTA magazine. Kevin is a noted trainer and thought leader on IT leadership skills, data and database technology and practices, and SQL Server performance tuning and optimization. Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite, the PASS Summit, Oracle OpenWorld, SQLBits, and IT/Dev Connections. He tweets at @kekline.

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