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The '''Community Data Workshops (CDSW)''' are a series of workshops designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners.
 
The '''Community Data Science Workshops (CDSW)''' are a series of workshops designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners.
The CDSW have been held twice in Seattle in Spring and Fall 2014 and more than forty people have volunteered their weekends to teach more than 140 people to program in Python, to build dataset from Web APIs, and to ask and answer questions using these data. This wiki includes links to the curriculum we used so thats other can build on and learn from our curriculum:
 
The CDSW have been held twice in Seattle in Spring and Fall 2014. andSo far, more than forty30 people have volunteered their weekends to teach more than 140130 people to program in Python, to build datasetdatasets from Web APIs, and to ask and answer questions using these data. This wiki includes links to the curriculum we used so thats other can build on and learn from our curriculum:
 
The following links are to the curriculum we used so thats other can build on and learn:
 
* [[Community Data Science Workshops (Spring 2014)]] along with ''many'' subpages
The workshops are for people with ''no previous programming experience.'' The goal is to bring together both researchers and academics as well as participants and leaders in online communities. The workshops have all been free of charge and are open to the public.
 
The sessions runare onschedule for one Friday evening for setup and on three Saturdays all day. Each session involves a period for lecture and technical demonstrations in the morning. This is followed by a lunch graciously provided by by one our sponsors for both of our previous sessions. The rest of the day consists of self-directed work on programming and data science projects supported by more experienced mentors.
 
'''Introduction to Programming (Session 1)''' — Programming is an essential tool for data science and is useful for solving many other problems. The goal of this session will be to introduce programming in the Python programming language. Each participant will leave having solved a real problem and will have built their first real programin their groupprogram. Because we expect to hit the ground running, we will also run a session in the evening of '''the preceeding Friday (Session 0)''' to help participants get software installed.
 
'''Importing Data from Web APIs (Session 2)''' — An important step in doing data science is collecting data. The goal of this session will be to teach participants how to get data from the public [[:wikipedia:Web API|application programming interfaces]] (“APIs”) common to many social media and online communities. Although, we will use the APIs provided by Wikipedia and Twitter in the session, the principles and techniques are common to many online communities.
* [http://mako.cc/copyrighteous/community-data-science-workshops-2 CDSW Spring 2014 post-mortem blog post]
* [[Community Data Science Workshops (Spring 2014)/Reflections]] — Raw notes from the mentors and organizers
* [[Community Data Science Workshops (Fall 2014)/Reflections]] — Raw notes from the mentors and organizers
 
== Organizers and Sponsors ==
 
Curriculum for the workshops have been developed by [http://mako.cc/ Benjamin Mako Hill], Ben Lewis, [http://franceshocutt.com/ Frances Hocutt], [http://jtmorgan.net/ Jonathan Morgan], [http://mika.im Mika Matsuzaki], [https://guyrt.github.io/ Tommy Guy]. The events are only possible with the help of a long list of over 40 volunteer mentors across the two events. The workshops have been designed with lots of help and inspiration from Shauna Gordon-McKeon and Asheesh Laroia of OpenHatch and lots of inspiration from the [[Boston Python Workshop]].
 
Our previous workshops have with space and funding by the [http://com.washington.edu University of Washington Department of Communication] and the [http://escience.washington.edu/ eScience Institute].
 
If you have any questions, contact [[User:Mako|Benjamin Mako Hill]] at makohill@uw.edu.
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