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Created page with "Category:Data FR:Le Square/Conception graphique <!--The following line of code hides the page title--> {{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px..."
[[Category:Data]]
[[FR:Le Square/Conception graphique]]
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<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>What is '''Data?'''</center></div>
<br>
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> 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 results.
</div>
<br>
<center>[[File:Data EN.png|700px]]</center>
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>'''Data Practices'''</center></div>
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 1. Basics
|-
! colspan="5" | Data types & format, metadata, analysis, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Title/Name of Resource
! style="background: grey; color: white; " | Organization Name
! style="background: grey; color: white; " | Link/Contact of Resource
! style="background: grey; color: white; " | Notes
|-
| Video || What is metadata? || University of Edinburgh || https://www.youtube.com/watch?v=96ncNPpohjo || Examples of metadata in everyday life.
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 2. Best Practices
|-
! colspan="5" | How to get good data, use cases, assessing data, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Online course || Probability: The Science of Uncertainty and Data || Massachusetts Institute of Technology via edX || https://www.class-central.com/course/edx-probability-the-science-of-uncertainty-and-data-11480?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 ||
|-
| Online course || Data Analysis for Decision Making || University of Maryland via edX || https://www.class-central.com/course/edx-data-analysis-for-decision-making-11673?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 3. Data-driven culture
|-
! colspan="5" | Data governance, data architecture, conceptual thinking, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Publication || Data Ethics Framework || UK Government || https://www.gov.uk/government/publications/data-ethics-framework/data-ethics-framework || Introductory piece with many inks for depth.
|-
| Presentation slides || 5 Practical Steps to a Data Driven Culture || FWD50 Conference 2018 || https://www.slideshare.net/FWD50/fwd50-2018-5-pratical-steps-to-a-data-driven-culture || Presented by Shingai Manjengwa, Fireside Analytics
|-
| Presentation slides || Democratizing data || FWD50 Conference 2018 || https://www.slideshare.net/FWD50/fwd50-2018-democratizing-data || Presented by Warren Perlman
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 4. Data Preparation
|-
! colspan="5" | Data collection, cleaning, visualizations, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Online course || Information Visualization: Foundations || New York University via Coursera || https://www.class-central.com/course/coursera-information-visualization-foundations-11819?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 ||
|-
| Online course || Information Visualization: Advanced Techniques || New York University via Coursera || https://www.class-central.com/course/coursera-information-visualization-advanced-techniques-11818?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 ||
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 5. Data Management
|-
! colspan="5" | Data warehousing, consolidation, storage, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 6. Data Analysis
|-
! colspan="5" | Natural language processing, programming languages, Excel, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Online course || Introduction to R || DataCamp || https://www.datacamp.com/courses/free-introduction-to-r || Requires login.
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
[[FR:Le Square/Conception graphique]]
<!--The following line of code hides the page title-->
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
{{The square subpage nav}}
__NOTOC__
<!--The following line of code hides the page title-->
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>What is '''Data?'''</center></div>
<br>
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> 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 results.
</div>
<br>
<center>[[File:Data EN.png|700px]]</center>
<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>'''Data Practices'''</center></div>
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 1. Basics
|-
! colspan="5" | Data types & format, metadata, analysis, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Title/Name of Resource
! style="background: grey; color: white; " | Organization Name
! style="background: grey; color: white; " | Link/Contact of Resource
! style="background: grey; color: white; " | Notes
|-
| Video || What is metadata? || University of Edinburgh || https://www.youtube.com/watch?v=96ncNPpohjo || Examples of metadata in everyday life.
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 2. Best Practices
|-
! colspan="5" | How to get good data, use cases, assessing data, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Online course || Probability: The Science of Uncertainty and Data || Massachusetts Institute of Technology via edX || https://www.class-central.com/course/edx-probability-the-science-of-uncertainty-and-data-11480?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 ||
|-
| Online course || Data Analysis for Decision Making || University of Maryland via edX || https://www.class-central.com/course/edx-data-analysis-for-decision-making-11673?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 3. Data-driven culture
|-
! colspan="5" | Data governance, data architecture, conceptual thinking, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Publication || Data Ethics Framework || UK Government || https://www.gov.uk/government/publications/data-ethics-framework/data-ethics-framework || Introductory piece with many inks for depth.
|-
| Presentation slides || 5 Practical Steps to a Data Driven Culture || FWD50 Conference 2018 || https://www.slideshare.net/FWD50/fwd50-2018-5-pratical-steps-to-a-data-driven-culture || Presented by Shingai Manjengwa, Fireside Analytics
|-
| Presentation slides || Democratizing data || FWD50 Conference 2018 || https://www.slideshare.net/FWD50/fwd50-2018-democratizing-data || Presented by Warren Perlman
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 4. Data Preparation
|-
! colspan="5" | Data collection, cleaning, visualizations, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Online course || Information Visualization: Foundations || New York University via Coursera || https://www.class-central.com/course/coursera-information-visualization-foundations-11819?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 ||
|-
| Online course || Information Visualization: Advanced Techniques || New York University via Coursera || https://www.class-central.com/course/coursera-information-visualization-advanced-techniques-11818?utm_source=qz&utm_medium=web&utm_campaign=new_courses_october_2018 ||
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 5. Data Management
|-
! colspan="5" | Data warehousing, consolidation, storage, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
|+ class="nowrap" | 6. Data Analysis
|-
! colspan="5" | Natural language processing, programming languages, Excel, etc.
|-
! style="background: grey; color: white; " | Type of Resource
! style="background: grey; color: white; " | Name/Title
! style="background: grey; color: white; " | Organization
! style="background: grey; color: white; " | Contact/Link
! style="background: grey; color: white; " | Notes
|-
| Online course || Introduction to R || DataCamp || https://www.datacamp.com/courses/free-introduction-to-r || Requires login.
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|-
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?
|}