Community Data Science Workshops (Spring 2014)/Reflections: Difference between revisions

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Over three weekends in Spring 2014, a group of volunteers organized the Community Data Workshops (CDSW) — a series of four sessions designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners. The CDSW were held between April 4th and May 31st in 2014 at the University of Washington, Seattle.
Over three weekends in Spring 2014, a group of volunteers organized the [[Community Data Science Workshops]] (CDSW) — a series of four sessions designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners. The CDSW were held between April 4th and May 31st in 2014 at the University of Washington in Seattle.


This page hosts reflections on organization and curriculum and is written for anybody interested in organizing their own CDSW. This includes future versions of ourselves.
This page hosts reflections on organization and curriculum and is written for anybody interested in organizing their own CDSW including the authors!


In feedback, the mentors, and the students, suggested that the workshops were a huge success. Students suggested that learned an enormous amount and benefited enormously. Mentors were also generally very excited about running similar projects in the future. That said, we all felt there were many ways to improve on the projects.
In general, the mentors and students, suggested that the workshops were a huge success. Students suggested that learned an enormous amount and benefited enormously. Mentors were also generally very excited about running similar projects in the future. That said, we all felt there were many ways to improve on the sessions which are detailed below.


== Structure ==
== Structure ==


We had four sessions:
The [[CDSW]] consisted of [[CDSW#Schedule|four sessions]]:


* Session 0 (Friday April 4th): Setup and Programming Practice
* Session 0 (Friday April 4th): Setup and Programming Practice