skip to content
Top ten principles for doing data science projects. Preview this item
ClosePreview this item
Checking...

Top ten principles for doing data science projects.

Author: Soubhik Barari
Publisher: London : SAGE Publications Ltd, 2019.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
Soubhik Barari, PhD student in Political Science at Harvard University, outlines ten data science principles to ensure successful social science research: focus on the big picture, know your data, build reusable and flexible tools, structure your project directory, prioritize reproducible code, use version control, name the files and folders, ownership of project components, sources of bias, and creation of painless  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Soubhik Barari
ISBN: 9781526492432 1526492431
OCLC Number: 1091241087
Language Note: Closed-captions in English.
Performer(s): Academic, Soubhik Barari.
Description: 1 online resource (1 video file (00:13:49)) : sound, colour
Other Titles: Top 10 principles for doing data science projects

Abstract:

Soubhik Barari, PhD student in Political Science at Harvard University, outlines ten data science principles to ensure successful social science research: focus on the big picture, know your data, build reusable and flexible tools, structure your project directory, prioritize reproducible code, use version control, name the files and folders, ownership of project components, sources of bias, and creation of painless code.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1091241087> # Top ten principles for doing data science projects.
    a schema:CreativeWork, schema:Movie, schema:VideoObject ;
    library:oclcnum "1091241087" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    rdfs:comment "Unknown 'gen' value: cig" ;
    schema:about <http://dewey.info/class/005.1/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/9008869207#Topic/social_sciences_research> ; # Social sciences--Research
    schema:about <http://experiment.worldcat.org/entity/work/data/9008869207#Topic/computer_software_development> ; # Computer software--Development
    schema:about <http://experiment.worldcat.org/entity/work/data/9008869207#Topic/data_mining_computer_programs> ; # Data mining--Computer programs
    schema:about <http://experiment.worldcat.org/entity/work/data/9008869207#Topic/database_management> ; # Database management
    schema:about <http://experiment.worldcat.org/entity/work/data/9008869207#Topic/social_sciences_data_processing> ; # Social sciences--Data processing
    schema:alternateName "Top 10 principles for doing data science projects" ;
    schema:contributor <http://experiment.worldcat.org/entity/work/data/9008869207#Person/barari_soubhik> ; # Soubhik Barari
    schema:datePublished "2019" ;
    schema:description "Soubhik Barari, PhD student in Political Science at Harvard University, outlines ten data science principles to ensure successful social science research: focus on the big picture, know your data, build reusable and flexible tools, structure your project directory, prioritize reproducible code, use version control, name the files and folders, ownership of project components, sources of bias, and creation of painless code."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/9008869207> ;
    schema:inLanguage "en" ;
    schema:name "Top ten principles for doing data science projects."@en ;
    schema:productID "1091241087" ;
    schema:url <http://methods.sagepub.com/video/top-ten-principles-for-doing-data-science-projects> ;
    schema:workExample <http://worldcat.org/isbn/9781526492432> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1091241087> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/9008869207#Person/barari_soubhik> # Soubhik Barari
    a schema:Person ;
    schema:familyName "Barari" ;
    schema:givenName "Soubhik" ;
    schema:name "Soubhik Barari" ;
    .

<http://experiment.worldcat.org/entity/work/data/9008869207#Topic/computer_software_development> # Computer software--Development
    a schema:Intangible ;
    schema:name "Computer software--Development"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/9008869207#Topic/data_mining_computer_programs> # Data mining--Computer programs
    a schema:Intangible ;
    schema:name "Data mining--Computer programs"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/9008869207#Topic/database_management> # Database management
    a schema:Intangible ;
    schema:name "Database management"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/9008869207#Topic/social_sciences_data_processing> # Social sciences--Data processing
    a schema:Intangible ;
    schema:name "Social sciences--Data processing"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/9008869207#Topic/social_sciences_research> # Social sciences--Research
    a schema:Intangible ;
    schema:name "Social sciences--Research"@en ;
    .

<http://worldcat.org/isbn/9781526492432>
    a schema:ProductModel ;
    schema:isbn "1526492431" ;
    schema:isbn "9781526492432" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.