Difference between revisions of "The Square"

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<div style="line-height: 1em; font-size: 300%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Community-curated resources to learn everything digital'''</center></div>
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<div style="line-height: 1em; font-size: 150%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>Taken a course, attended an event, or know a talented expert? Let’s learn together.</center></div>
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<div style="line-height: 1em; font-size: 150%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>Add your resources, help fellow learners, and support Canada's Digital Academy.</center></div>
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<div style="line-height: 1em; font-size: 300%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Pick a learning stream'''</center></div>
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<div style="line-height: 2em; font-size: 100%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''The Square is a hub for learning digital literacy''' by engaging in learning playlists, peer-to-peer learning, and community discussions - '''together'''.</center></div>
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<div style="line-height: 1em; font-size: 300%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;<center>'''Pick a Learning Playlist'''</center></div>
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! <center>[[File:Puzzle icon.png|130x130px|link=https://wiki.gccollab.ca/The_Square/Core_Skills]]</center>
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! <center>[[File:Data science icon.png|100x100px|link=https://wiki.gccollab.ca/Data]]</center>
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! <center>[[File:AI icon.png|105x105px|link=https://wiki.gccollab.ca/The_Square/AI_&_ML]]</center>
  
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! <center>[[File:GitHub_-_Circle_logo.png|75x75px|link=https://wiki.gccollab.ca/The_Square/GitHub]]</center>
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! <p align="center"><big>'''[[The Square/Core_Skills|Core Skills]]'''</big></p> !! <p align="center"><big>'''[[The Square/Data|Data]]'''</big></p> !! <p align="center"><big>'''[[The Square/AI & ML|Artificial Intelligence & Machine Learning]]'''</big></p>
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! <center>[[File:GitHub_-_Circle_logo.png|150x150px|link=https://wiki.gccollab.ca/The_Square/GitHub]]</center>
 
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! <p align="center"><big>'''[[The Square/Open Source Software|Open Source Software]]'''</big></p> !! <p align="center"><big>'''[[The Square/GitHub|GitHub]]'''</big></p> !! <p align="center"><big>'''[[The Square/Wiki Code|Wiki Code]]'''</big></p>
 
 
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| <p align="justify">'''GitHub''' Lorem ipsum dolor sit amet, hinc quidam eu mei, odio latine inciderint at sed. Ex sea simul periculis, dicunt audiam qui id, vis an regione bonorum. Mei ut veniam impedit. No hinc dicant vis, mea ex eius putent. Nam eu amet mazim quaestio.</p>|| <p align="justify">'''Topic #2''' Lorem ipsum dolor sit amet, hinc quidam eu mei, odio latine inciderint at sed. Ex sea simul periculis, dicunt audiam qui id, vis an regione bonorum. Mei ut veniam impedit. No hinc dicant vis, mea ex eius putent. Nam eu amet mazim quaestio.</p>|| <p align="justify">A '''Topic #3''' Lorem ipsum dolor sit amet, hinc quidam eu mei, odio latine inciderint at sed. Ex sea simul periculis, dicunt audiam qui id, vis an regione bonorum. Mei ut veniam impedit. No hinc dicant vis, mea ex eius putent. Nam eu amet mazim quaestio.</p>
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| <p align="left">'''Core Skills''' Skills that support all digital competencies - think accessibility and open source software.</p>|| <p align="left">'''Data''' Practical skills and tools required to conduct analytics, develop and test hypotheses, visualize and share reproducible result.</p> || <p align="left">'''Artificial Intelligence & Machine Learning''' Exposure and practical experience in developing and using algorithms to independently learn from and make predictions or decisions based on data.</p>
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! <center>[[File:GitHub_-_Circle_logo.png|150x150px|link=https://wiki.gccollab.ca/The_Square/GitHub]]</center>
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! <center>[[File:Disruption icon.png|120x130px|link=https://wiki.gccollab.ca/The_Square/Disruption]]</center>
 
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! <p align="center"><big>'''[[The Square/Data Science|Data Science]]'''</big></p> !! <p align="center"><big>'''[[The Square/Data Visualization|Data Visualization]]'''</big></p> !! <p align="center"><big>'''[[The Square/MS Excel|MS Excel]]'''</big></p>
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! <p align="center"><big>'''[[The Square/Design|Design]]'''</big></p> !! <p align="center"><big>'''[[The Square/Dev & Automation|Development & Automation]]'''</big></p> !! <p align="center"><big>'''[[The Square/Disruption|Disruption]]'''</big></p>
 
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| <p align="justify">'''Serious games''', which include case competitions, simulations, board games like Policy Horizon’s new game “Impact” and many other examples, are a great way to get people to learn and collaborate. The ‘serious’ in the title signals that these games aren’t just for fun, but provide users and organizations with a chance to practice skills and build relationships.</p>|| <p align="justify">'''Data Analytics''' uses complex algorithms to analyze structured and unstructured data to provide details on the past, predict the future, and understand outcomes before they happen.</p>|| <p align="justify">'''Public Service Mutual''' is shorthand for a variety of initiatives, based on mutual or cooperative governance that in whole or in part delivers public services and in which employee or member control plays a significant role in their operation. Well-designed mutualization can transform the delivery of public services and deliver substantial benefits to public service stakeholders.</p>
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| <p align="left">'''Design''' Exposure and practical skills related to techniques and tools used in user experience research & design and process and service design in a digital age.</p>|| <p align="left">'''Development & Automation''' Application & web development and coding. Bootcamp in developing web and mobile applications; introduction to DevOps. </p>
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|| <p align="left">'''Disruption''' Hands-on experimentation on the Internet of Things, drones, blockchain, virtual reality, machine vision and 3D printing and other technologies in an innovative laboratory environment.</p>
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! <p align="center"><big>'''[[New Policy Instruments and Approaches/Big_Data|Big Data]]'''</big></p> !! <p align="center"><big>'''[[New Policy Instruments and Approaches/Citizen Science|Citizen Science]]'''</big></p> !! <p align="center"><big>'''[[New Policy Instruments and Approaches/Foresight|Foresight]]'''</big></p>
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| <p align="justify">'''Big data''' generally refers to datasets so large and complex they create significant challenges for traditional data management and analysis tools in practical timeframes. Often it refers to the use of predictive analytics or other advanced methods to extract value from data. These datasets exist because of the ever-increasing number and power of electronic devices, and their use for new roles.</p>|| <p align="justify">'''Citizen science''' is a research technique that utilizes local citizens as resources to gather information for scientists in a large research project. Citizen Scientists do not necessarily have any scientific background, but they volunteer their time to observe, record and report data for scientists. Typically, volunteers do not analyze data or write scientific papers, but they are essential to gathering the information on which studies are based.</p>|| <p align="justify">'''Foresight''' is a process of anticipating and managing change. Foresight methods are used for strategic policy and planning to systematically imagine plausible futures based on current data, trends and policies. The most common foresight approach is scenario planning. Scenarios are credible, challenging stories that transform strategically important knowledge into fresh perspectives about a range of plausible futures.</p>
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Latest revision as of 15:19, 6 December 2018


Sqaure new EN.png
About Contact GCcollab
 
Community-curated resources to learn everything digital
 
Taken a course, attended an event, or know a talented expert? Let’s learn together.
 
Add your resources, help fellow learners, and support Canada's Digital Academy.



 
Pick a learning stream


Puzzle icon.png
Data science icon.png
AI icon.png


Core Skills

Data

Artificial Intelligence & Machine Learning

Core Skills Skills that support all digital competencies - think accessibility and open source software.

Data Practical skills and tools required to conduct analytics, develop and test hypotheses, visualize and share reproducible result.

Artificial Intelligence & Machine Learning Exposure and practical experience in developing and using algorithms to independently learn from and make predictions or decisions based on data.


User Experience - logo.png
Development icon.png
Disruption icon.png

Design

Development & Automation

Disruption

Design Exposure and practical skills related to techniques and tools used in user experience research & design and process and service design in a digital age.

Development & Automation Application & web development and coding. Bootcamp in developing web and mobile applications; introduction to DevOps.

Disruption Hands-on experimentation on the Internet of Things, drones, blockchain, virtual reality, machine vision and 3D printing and other technologies in an innovative laboratory environment.
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