Coverart for item
The Resource Building Data Science Teams

Building Data Science Teams

Label
Building Data Science Teams
Title
Building Data Science Teams
Creator
Subject
Language
eng
Summary
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be ""data driven."" The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Patil, DJ
Dewey number
  • 519.5/35
  • 519.535
Index
no index present
LC call number
QA278
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Cluster analysis
  • Data mining
  • Database management
  • Mathematical statistics
  • Multivariate analysis
  • Numerical analysis
  • Research, Industrial
  • Science
  • Data structures (Computer science)
Label
Building Data Science Teams
Instantiates
Publication
Note
About the Author
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Building Data Science Teams; 1. Building Data Science Teams; Being Data Driven; The Roles of a Data Scientist; Decision sciences and business intelligence; Product and marketing analytics; Fraud, abuse, risk and security; Data services and operations; Data engineering and infrastructure; Organizational and reporting alignment; What Makes a Data Scientist?; Hiring and talent; Would we be willing to do a startup with you?; Can you "knock the socks off" of the company in 90 days?; In four to six years, will you be doing something amazing?; Building the LinkedIn Data Science Team; Reinvention
Control code
958582259
Dimensions
unknown
Extent
1 online resource (26 pages)
Form of item
online
Isbn
9781449316792
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
7630849027921979071
Specific material designation
remote
System control number
(OCoLC)958582259
Label
Building Data Science Teams
Publication
Note
About the Author
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Building Data Science Teams; 1. Building Data Science Teams; Being Data Driven; The Roles of a Data Scientist; Decision sciences and business intelligence; Product and marketing analytics; Fraud, abuse, risk and security; Data services and operations; Data engineering and infrastructure; Organizational and reporting alignment; What Makes a Data Scientist?; Hiring and talent; Would we be willing to do a startup with you?; Can you "knock the socks off" of the company in 90 days?; In four to six years, will you be doing something amazing?; Building the LinkedIn Data Science Team; Reinvention
Control code
958582259
Dimensions
unknown
Extent
1 online resource (26 pages)
Form of item
online
Isbn
9781449316792
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
7630849027921979071
Specific material designation
remote
System control number
(OCoLC)958582259

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...