Anonymous user
Community Data Science Workshops: Difference between revisions
no edit summary
imported>Mako (draft of description) |
imported>Mako No edit summary |
||
(21 intermediate revisions by the same user not shown) | |||
Line 1:
{{CDSW Moved}}
The '''Community Data Workshops (CDSW)''' are a series of sessions 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
The CDSW have been held twice in Seattle in Spring and Fall 2014. So far, more than 30 people have volunteered their weekends to teach more than 130 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.
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
Line 10 ⟶ 14:
[[Image:Cdsw combo images-1.jpg]]
==
The '''Community Data Science Workshops''' are a series of project-based workshops for anyone interested in learning how to use programming and data science tools to ask and answer questions about online communities like [https://en.wikipedia.org Wikipedia], [http://twitter.org Twitter], [[:
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
'''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
'''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.
'''Data Analysis and Visualization (Session 3)''' — The goal of data science is to use data to answer questions. In our final session, we will use the Python skills we learned in the first session and the datasets we’ve created in the second to ask and answer common questions about the activity and health of online communities. We will focus on learning how to generate visualizations, create summary statistics, and test hypotheses.
Line 40 ⟶ 44:
* [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.
|