Difference between revisions of "The Square/Data Science"

From wiki
Jump to navigation Jump to search
(Created page with "BANNER GRAPHIC TITLE Definition Link to existing GCcollab group Events (link to Event Calendar in the corresponding GCcollab group) Videos News articles/Blogs Online Co...")
 
m (and)
 
(11 intermediate revisions by 3 users not shown)
Line 1: Line 1:
BANNER GRAPHIC
+
[[FR:Le Square/Scientifique des données]]
 +
<!--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>}}
  
TITLE
+
{{The square subpage nav}}
 +
__NOTOC__
  
Definition
+
<!--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;">&nbsp;<center>Welcome to the '''Data Science''' Learning Playlist</center></div>
  
Link to existing GCcollab group
 
  
Events (link to Event Calendar in the corresponding GCcollab group)
+
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;What is '''Data Science?'''</div>
 +
Data science is the study of the extraction of knowledge from data by using math, probability models, machine learning, computer programming, statistics, pattern recognition and learning, visualization, and uncertainty modeling. The main goal of the study is to extract useful knowledge from the data.
  
Videos
+
<div style="line-height: 3em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;Your '''Resources'''</div>
  
News articles/Blogs
+
=== Groups on GCcollab ===
 +
* [https://gccollab.ca/groups/profile/5881/data-science-science-des-donnees Data Science Group]
  
Online Courses/MOOCs
+
=== Events ===
 +
* Add an event
  
Books
+
=== Videos ===
 +
* Add a video
  
Podcasts
+
=== News Articles and Blogs ===
 +
* Add an article/blog
  
Academic Articles
+
=== Online Courses ===
 +
* [https://www.edx.org/course/introduction-to-data-science Microsoft - Introduction to Data Science]
 +
* [https://www.edx.org/course/introduction-to-python-for-data-science Microsoft - Introduction to Python for Data Science]
 +
* [https://github.com/hadley/stats337 Readings in Applied Data Science - Hadley Wickham]
  
Social Media accounts to follow (eg. Twitter handles, LinkedIn/Facebook groups)
+
=== Books ===
 +
* [http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf Introduction to Statistical Learning with Applications in R]
 +
* [https://web.stanford.edu/~hastie/Papers/ESLII.pdf Elements of Statistical Learning]
 +
 
 +
=== Podcasts ===
 +
* [https://dataskeptic.com/ Data Skeptic Podcast]
 +
 
 +
=== Academic Articles ===
 +
* Add an academic article
 +
 
 +
=== Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.) ===
 +
* Add an account

Latest revision as of 09:25, 6 July 2018


Sqaure new EN.png
About Contact GCcollab


 
Welcome to the Data Science Learning Playlist


 What is Data Science?

Data science is the study of the extraction of knowledge from data by using math, probability models, machine learning, computer programming, statistics, pattern recognition and learning, visualization, and uncertainty modeling. The main goal of the study is to extract useful knowledge from the data.

 Your Resources

Groups on GCcollab

Events

  • Add an event

Videos

  • Add a video

News Articles and Blogs

  • Add an article/blog

Online Courses

Books

Podcasts

Academic Articles

  • Add an academic article

Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.)

  • Add an account