Difference between revisions of "Le Square/Données"

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<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>Qu'est-ce que les '''Données?'''</center></div>
 
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>Qu'est-ce que les '''Données?'''</center></div>
 
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<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Data is information, like facts or numbers, collected to be examined, considered, and used to help decision-making.  Learning how to leverage data requires practical skills and tools required to conduct analytics, develop and test hypotheses, visualize and share reproducible result.
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<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Les outils et les compétences pratiques nécessaires pour effectuer des analyses, formuler et éprouver des hypothèses, ou visualiser et partager des résultats reproductibles.
 
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<center>[[File:Data EN.png|700px]]</center>
 
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<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Data Practices & Skills'''</center></div>
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<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Pratiques et compétences en matière de données'''</center></div>
  
 
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Revision as of 13:51, 30 November 2018


Square new FR.png
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Qu'est-ce que les Données?


 Les outils et les compétences pratiques nécessaires pour effectuer des analyses, formuler et éprouver des hypothèses, ou visualiser et partager des résultats reproductibles.


Data EN.png
 
Pratiques et compétences en matière de données
1. Basics
Data types & format, metadata, analysis, etc.
Type of Resource Name/Title Contact/Link Notes
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
2. Best Practices
How to get good data, use cases, assessing data, etc.
Type of Resource Name/Title Contact/Link Notes
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
3. Data-driven culture
Data governance, data architecture, conceptual thinking, etc.
Type of Resource Name/Title Contact/Link Notes
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
4. Data Preparation
Data collection, cleaning, visualizations, etc.
Type of Resource Name/Title Contact/Link Notes
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
5. Data Management
Data warehousing, consolidation, storage, etc.
Type of Resource Name/Title Contact/Link Notes
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
6. Data Analysis
Natural language processing, programming languages, Excel, etc.
Type of Resource Name/Title Contact/Link Notes
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
Expert, video, article, course, etc. Name/Title Contact/Link Anything to add?
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