Difference between revisions of "The Square/Data"

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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>What is '''Data?'''</center></div>
 
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>What is '''Data?'''</center></div>
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Data, typically facts or numbers, are 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;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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Revision as of 11:49, 27 November 2018


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About Contact GCcollab


 
What is Data?
 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.


Data EN.png
 
Data Practices & Skills
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?