The Resource Data Science For Dummies, Pierson, Lillian
Data Science For Dummies, Pierson, Lillian
Resource Information
The item Data Science For Dummies, Pierson, Lillian represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium.This item is available to borrow from 1 library branch.
Resource Information
The item Data Science For Dummies, Pierson, Lillian represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium.
This item is available to borrow from 1 library branch.
- 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
- Language
-
- eng
- eng
- Edition
- 1st edition
- Extent
- 1 online resource (37742 pages)
- Label
- Data Science For Dummies
- Title
- Data Science For Dummies
- Statement of responsibility
- Pierson, Lillian
- 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
- 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
- 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 Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/portal/Data-Science-For-Dummies-Pierson/XS-3MYgtMZY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Data-Science-For-Dummies-Pierson/XS-3MYgtMZY/">Data Science For Dummies, Pierson, Lillian</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Data Science For Dummies, Pierson, Lillian
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/portal/Data-Science-For-Dummies-Pierson/XS-3MYgtMZY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Data-Science-For-Dummies-Pierson/XS-3MYgtMZY/">Data Science For Dummies, Pierson, Lillian</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>
