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Difference between revisions of "The Square/Data-test"
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What is Data?

Data Practices
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{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%" | {| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%" | ||
− | |+ class="nowrap" | 4. Data | + | |+ class="nowrap" | 4. Data preparation |
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! colspan="5" | | ! colspan="5" | | ||
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! style="background: grey; color: white; " | Notes | ! style="background: grey; color: white; " | Notes | ||
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− | | | + | | 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? | ||
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! style="background: grey; color: white; " | Notes | ! 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? | ||
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! style="background: grey; color: white; " | Notes | ! 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? |
Latest revision as of 08:36, 20 December 2018

About | Contact | GCcollab |
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.
