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Thinking with Data / Shron, Max.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Author/Creator:
Shron, Max, author.
Language:
English
Subjects (All):
Data mining.
Data structures (Computer science).
Business intelligence--Data processing.
Business intelligence.
Project management.
Genre:
Electronic videos.
Physical Description:
1 online resource (1 video file, approximately 54 min.)
Edition:
1st edition
Place of Publication:
O'Reilly Media, Inc., 2014.
System Details:
video file
Summary:
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.
Participant:
Presenter, Max Shron.
Notes:
Title from title screen (viewed July 9, 2014).
O'Reilly webcast March 13, 2014.
Online resource; Title from title screen (viewed June 8, 2014)
ISBN:
9781491909003
1491909005
OCLC:
883661822

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