Difference between revisions of "The Square/Data"

From wiki
Jump to navigation Jump to search
Line 18: Line 18:
  
 
{| 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" | 1. Basics
+
|+ class="nowrap" | 1. Programming
 
|-
 
|-
−
! colspan="5" | Data types & format, metadata, analysis, etc.
+
! colspan="5" |
 
|-
 
|-
 
! style="background: grey; color: white; " | Type of Resource
 
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; " | Title/Name of Resource
+
! style="background: grey; color: white; " | Name/Title of Resource
−
! style="background: grey; color: white; " | Organization Name
+
! style="background: grey; color: white; " | Organization
−
! style="background: grey; color: white; " | Link/Contact of Resource
+
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Notes
 
! style="background: grey; color: white; " | Notes
 
|-
 
|-
Line 36: Line 36:
  
 
{| 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" | 2. Best Practices
+
|+ class="nowrap" | 2. Database design
 
|-
 
|-
−
! colspan="5" | How to get good data, use cases, assessing data, etc.
+
! colspan="5" |
 
|-
 
|-
 
! style="background: grey; color: white; " | Type of Resource
 
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; " | Name/Title
+
! style="background: grey; color: white; " | Name/Title of Resource
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Contact/Link
Line 54: Line 54:
  
 
{| 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" | 3. Data-driven culture
+
|+ class="nowrap" | 3. Data collection
 
|-
 
|-
−
! colspan="5" | Data governance, data architecture, conceptual thinking, etc.
+
! colspan="5" |
 
|-
 
|-
 
! style="background: grey; color: white; " | Type of Resource
 
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; " | Name/Title
+
! style="background: grey; color: white; " | Name/Title of Resource
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Contact/Link
Line 72: Line 72:
  
 
{| 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 Preparation
+
|+ class="nowrap" | 4. Data preparation
 
|-
 
|-
−
! colspan="5" | Data collection, cleaning, visualizations, etc.
+
! colspan="5" |
 
|-
 
|-
 
! style="background: grey; color: white; " | Type of Resource
 
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; " | Name/Title
+
! style="background: grey; color: white; " | Name/Title of Resource
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Contact/Link
Line 90: Line 90:
  
 
{| 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" | 5. Data Management
+
|+ class="nowrap" | 5. Data analysis
 
|-
 
|-
−
! colspan="5" | Data warehousing, consolidation, storage, etc.
+
! colspan="5" |
 
|-
 
|-
 
! style="background: grey; color: white; " | Type of Resource
 
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; " | Name/Title
+
! style="background: grey; color: white; " | Name/Title of Resource
 +
! 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?
 +
|}
 +
 
 +
{| class="wikitable sortable mw-collapsible mw-collapsed" style="color:black; background-color:white;" width="100%"
 +
|+ class="nowrap" | 6. Data management
 +
|-
 +
! colspan="5" |
 +
|-
 +
! style="background: grey; color: white; " | Type of Resource
 +
! style="background: grey; color: white; " | Name/Title of Resource
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Contact/Link
Line 108: Line 126:
  
 
{| 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" | 6. Data Analysis
+
|+ class="nowrap" | 7. Data presentation
 
|-
 
|-
−
! colspan="5" | Natural language processing, programming languages, Excel, etc.
+
! colspan="5" |
 
|-
 
|-
 
! style="background: grey; color: white; " | Type of Resource
 
! style="background: grey; color: white; " | Type of Resource
−
! style="background: grey; color: white; " | Name/Title
+
! style="background: grey; color: white; " | Name/Title of Resource
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Organization
 
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Contact/Link
 
! style="background: grey; color: white; " | Notes
 
! 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?
 
| Expert, video, article, course, etc. || Name/Title || Organization || Contact/Link || Anything to add?

Revision as of 07:42, 20 December 2018


Sqaure new EN.png
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 results.


Data EN.png
 
Data Practices
1. Programming
Type of Resource Name/Title of Resource Organization Contact/Link 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?
2. Database design
Type of Resource Name/Title of Resource Organization Contact/Link 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?
3. Data collection
Type of Resource Name/Title of Resource Organization Contact/Link 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
4. Data preparation
Type of Resource Name/Title of Resource Organization Contact/Link 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?
5. Data analysis
Type of Resource Name/Title of Resource Organization Contact/Link 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?
6. Data management
Type of Resource Name/Title of Resource Organization Contact/Link 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?
7. Data presentation
Type of Resource Name/Title of Resource Organization Contact/Link 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?
Retrieved from "https://wiki.gccollab.ca/index.php?title=The_Square/Data&oldid=7212"