The Resource Data Science For Dummies, Pierson, Lillian

Data Science For Dummies, Pierson, Lillian

Label
Data Science For Dummies
Title
Data Science For Dummies
Statement of responsibility
Pierson, Lillian
Creator
Contributor
Author
Narrator
Subject
Genre
Language
  • eng
  • eng
Summary
Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: ● Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value ● Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL ● And more It's a big, big data world out there-let Data Science For Dummies help you harness its power and gain a competitive edge for your organization
Accompanying matter
libretto or text
http://library.link/vocab/creatorName
Pierson, Lillian
http://library.link/vocab/relatedWorkOrContributorName
  • Cannon, Chloe
  • O'Reilly Media Company
Label
Data Science For Dummies, Pierson, Lillian
Link
https://databases.mvlc.org/connect/oreilly?ID=9781515936770
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
spoken word
Content type code
  • spw
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (37742 pages)
Form of item
online
Issuing body
Made available through: 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)9781515936770
System details
Mode of access: World Wide Web
Label
Data Science For Dummies, Pierson, Lillian
Link
https://databases.mvlc.org/connect/oreilly?ID=9781515936770
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
spoken word
Content type code
  • spw
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (37742 pages)
Form of item
online
Issuing body
Made available through: 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)9781515936770
System details
Mode of access: World Wide Web

Library Locations

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