Main Page: Difference between revisions
From CommunityData
No edit summary |
|||
| Line 5: | Line 5: | ||
* '''[[Community Data Science Workshops]]''' — 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. 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. We are currently planning the third installment for Spring 2015. | * '''[[Community Data Science Workshops]]''' — 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. 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. We are currently planning the third installment for Spring 2015. | ||
* '''[[Community Data Science Course (Spring 2015)]]''' (COM597 "Programming and Data Science for Social Media") — A semester long course taughted by [[User:Benjamin Mako Hill|Benjamin Mako Hill]] that adapts and builds upon the CDSW curriculum to teach introductory programming and data science to absolute beginners in the context of the [http://commlead.uw.edu/ University of Washington's Communication Leadership program] | * '''[[Community Data Science Course (Spring 2015)]]''' ''(COM597 "Programming and Data Science for Social Media")'' — A semester long course taughted by [[User:Benjamin Mako Hill|Benjamin Mako Hill]] that adapts and builds upon the CDSW curriculum to teach introductory programming and data science to absolute beginners in the context of the [http://commlead.uw.edu/ University of Washington's Communication Leadership program] | ||
Unless otherwise noted, everything on this wiki is freely available under the [http://creativecommons.org/licenses/by-sa/3.0/ Creative Commons Attributions Share-Alike License] so you should feel encouraged to build on and expand this content. | Unless otherwise noted, everything on this wiki is freely available under the [http://creativecommons.org/licenses/by-sa/3.0/ Creative Commons Attributions Share-Alike License] so you should feel encouraged to build on and expand this content. | ||
Revision as of 19:19, 12 March 2015
Welcome to the wiki for the Community Data Science Collective. It is open to the public and hackable by all but mostly contains information that will be useful to collective members, their collaborators, people enrolled in their projects, or people interested in building off of their work. If you're interested in making a change or creating content here, generally feel empowered to Be Bold. If things don't fit, somebody who watches this wiki will be in touch.
Links
- Community Data Science Workshops — 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. 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. We are currently planning the third installment for Spring 2015.
- Community Data Science Course (Spring 2015) (COM597 "Programming and Data Science for Social Media") — A semester long course taughted by Benjamin Mako Hill that adapts and builds upon the CDSW curriculum to teach introductory programming and data science to absolute beginners in the context of the University of Washington's Communication Leadership program
Unless otherwise noted, everything on this wiki is freely available under the Creative Commons Attributions Share-Alike License so you should feel encouraged to build on and expand this content.
