The Resource Mining the social web, LinkedIn : learn how to access, download, analyze, and visualize LinkedIn data, with Mikhail Klassen

Mining the social web, LinkedIn : learn how to access, download, analyze, and visualize LinkedIn data, with Mikhail Klassen

Label
Mining the social web, LinkedIn : learn how to access, download, analyze, and visualize LinkedIn data
Title
Mining the social web, LinkedIn
Title remainder
learn how to access, download, analyze, and visualize LinkedIn data
Statement of responsibility
with Mikhail Klassen
Title variation
Learn how to access, download, analyze, and visualize LinkedIn data
Creator
Speaker
Subject
Language
eng
Summary
"LinkedIn is the largest professional social network in the world and is used by millions of job seekers, employers, recruiters, and other professionals. How can we mine this data to gain deeper insights into our professional networks? Based on content from Matthew Russell's book "Mining the Social Web" (O'Reilly), this course shows you how to access and download LinkedIn data; as well as how to perform clustering analysis and geographic analysis, and how to visualize data in new and informative ways. The course works best for learners with some basic Python experience."--Resource description page
Cataloging source
UMI
Characteristic
videorecording
http://library.link/vocab/creatorName
Klassen, Mikhail
LC call number
HM742
PerformerNote
Presenter, Mikhail Klassen
Runtime
39
http://library.link/vocab/subjectName
  • Data mining
  • Online social networks
Technique
live action
Label
Mining the social web, LinkedIn : learn how to access, download, analyze, and visualize LinkedIn data, with Mikhail Klassen
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781491989821
Instantiates
Publication
Note
  • Title from title screen (viewed July 31, 2017)
  • Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
ocn998839014
Dimensions
unknown
Extent
1online resource (1 volume)
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
illustrations.
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0500000880
System control number
(OCoLC)998839014
Video recording format
other
Label
Mining the social web, LinkedIn : learn how to access, download, analyze, and visualize LinkedIn data, with Mikhail Klassen
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781491989821
Publication
Note
  • Title from title screen (viewed July 31, 2017)
  • Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
ocn998839014
Dimensions
unknown
Extent
1online resource (1 volume)
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
illustrations.
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0500000880
System control number
(OCoLC)998839014
Video recording format
other

Library Locations

    • Merrimack Valley Library ConsortiumBorrow it
      4 High Street, Suite 175, North Andover, MA, 01845, US
      42.7009413 -71.1255084
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