The Resource 2015 Data Science Salary Survey, King, John

2015 Data Science Salary Survey, King, John

Label
2015 Data Science Salary Survey
Title
2015 Data Science Salary Survey
Statement of responsibility
King, John
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
For the third consecutive year, O'Reilly Media conducted an anonymous survey to expose the tools that successful data scientists and engineers use, and how those tool choices might relate to their salary. For the 2015 version of the Data Science Salary Survey, we heard from over 600 respondents who work in and around the data space for a variety of industries across 47 countries and 38 U.S. states. The research was based on data collected through an online 32-question survey, including demographic information, time spent on various data-related tasks, and the use or non-use of 116 software tools. Findings include: Average number of tools and median income for all respondents Distribution of responses by a variety of factors, including age, gender, location, industry, role, and cloud computing Detailed analysis of tool use, including tool clusters Correlation of tool usage and salary Download this free in-depth report to gain insight from these potentially career-changing findings, and plug your own variables into one of the linear models to predict your own salary. The survey is now open for the 2016 report, and it takes just 5 to 10 minutes to complete: http://www.oreilly.com/go/ds-salary-​survey-2016
http://library.link/vocab/creatorName
King, John
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Magoulas, Roger
  • Safari, an O'Reilly Media Company
Label
2015 Data Science Salary Survey, King, John
Link
https://databases.mvlc.org/connect/oreilly?ID=9781492048640
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (50 pages)
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9781492048640
System details
Mode of access: World Wide Web
Label
2015 Data Science Salary Survey, King, John
Link
https://databases.mvlc.org/connect/oreilly?ID=9781492048640
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (50 pages)
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9781492048640
System details
Mode of access: World Wide Web

Library Locations

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      42.7009413 -71.1255084
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