Difference between revisions of "Data Science"

From Measure Chat Wiki
Jump to navigation Jump to search
(Changed formating and added courses section)
 
Line 1: Line 1:
 
This page is a repository of links/resources that were originally published or may be of interest to the #data-science channel in the [http://join.measure.chat Measure Slack team]. As it grows, we can spin off separate pages such that this becomes more of a shell page linking to those pages.
 
This page is a repository of links/resources that were originally published or may be of interest to the #data-science channel in the [http://join.measure.chat Measure Slack team]. As it grows, we can spin off separate pages such that this becomes more of a shell page linking to those pages.
  
'''General Purpose Resources'''
+
 
 +
 
 +
== General Purpose Resources ==
 
* Coding collaboration (think Google Docs for code) - http://codr.io/
 
* Coding collaboration (think Google Docs for code) - http://codr.io/
 
* [https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-01?slide=6 Flowchart showing which statistical method applies based on the variable type and question type]
 
* [https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-01?slide=6 Flowchart showing which statistical method applies based on the variable type and question type]
 
* [http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html Choosing the right estimator] (similar idea as above)
 
* [http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html Choosing the right estimator] (similar idea as above)
  
'''R Resources'''
+
== R Resources ==
 
* [http://dartistics.com Dartistics]
 
* [http://dartistics.com Dartistics]
 
* [http://code.markedmondson.me/ Mark Edmondson's Code Blog]
 
* [http://code.markedmondson.me/ Mark Edmondson's Code Blog]
Line 12: Line 14:
 
* [https://www.tidytextmining.com/ Tidy Text Mining by Julia Silge]
 
* [https://www.tidytextmining.com/ Tidy Text Mining by Julia Silge]
  
'''R Packages'''
+
== R Packages ==
  
 
This isn't an exhaustive list of R packages (obviously), but is a list of packages that are specifically of interest to digital analysts:
 
This isn't an exhaustive list of R packages (obviously), but is a list of packages that are specifically of interest to digital analysts:
Line 20: Line 22:
  
  
'''Python Resources'''
+
== Python Resources ==
 +
 
 +
== Courses ==
 +
 
 +
[https://www.datacamp.com/ DataCamp] Learn Data Science Online - free + paid courses
 +
 
 +
[https://www.udemy.com/python-coding/ Python A-Z] paid course
 +
 
 +
[https://www.udemy.com/machinelearning/ Machine Learning A-Z] paid course

Latest revision as of 05:18, 20 April 2018

This page is a repository of links/resources that were originally published or may be of interest to the #data-science channel in the Measure Slack team. As it grows, we can spin off separate pages such that this becomes more of a shell page linking to those pages.


General Purpose Resources

R Resources

R Packages

This isn't an exhaustive list of R packages (obviously), but is a list of packages that are specifically of interest to digital analysts:

  • googleAnalyticsR - package for pulling data from Google Analytics using the v4 API
  • bigQueryR - package for pulling data from Google BigQuery
  • RSiteCatalyst - package for pulling data from Adobe Analytics


Python Resources

Courses

DataCamp Learn Data Science Online - free + paid courses

Python A-Z paid course

Machine Learning A-Z paid course