Community Data Science Workshops (Fall 2014): Difference between revisions
, 7 years ago
no edit summary
(Expose the Session 3 info.)
No edit summary
|(8 intermediate revisions by 3 users not shown)|
Welcome to the page for the '''Fall 2014 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 will be held on the evening of Friday November 7 and all day on Saturdays 8th, 15th, and 22nd at the University of Washington, Seattle. This pages includes links to the curriculum we we will use. We ran these sessions once before in in Spring 2014. Although we are updating the curriculum, you can see details of what we did
[[Image:Cdsw combo images-1.jpg]]
=== Session 0 (Friday November 7th Evening '''6:30-9:30pm''') ===
Come to '''[http://www.washington.edu/maps/#!/cmu Communications (CMU) 104] between 6:30 and 9:30pm'''. It's OK if you come a little late but you'll want to have as much time as you can to finish the setup and self-directed assignments so come as close to 6:30pm as you can. Most people will finish early but some people will definitely need the full 3 hours. It's hard to know in advance where problems will crop up so please come on time even if you are confident.
=== Session 1 (Saturday November 8th) ===
Come to '''[http://uw.edu/maps/?sav Savery Hall (SAV) 260] by 9:45am''' (Note: it's not in the communication building). You will need time to get settled and setup. We want to start lecturing promptly at 10am.
=== Session 2 (Saturday November 15th) ===
Come to [http://www.washington.edu/maps/#!/sav Savery Hall (SAV)] 260 by '''9:45am'''. You will need time to get settled and setup. We want to start lecturing promptly at 10am.
=== Session 3 (Saturday November 22nd) ===
Come to [http://
Please come prepared to start working in your Python interpreter during the lesson. If you are going to be bringing a different computer than the one you brough and setup last time, you will need to go through the setup section of the [[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial|setup and tutorial session from the first Friday session]]. You don't need to do the tutorial or CodeAcademy lessons again unless you think that you could use a refresher. You can also skip the sections about installing ''Baby Names'' and ''Wordplay''. We won't be looking at those in this session.
In the lecture, we're going to be doing building some simple visualizations online in [http://docs.google.com Google Docs]. Please make sure you have a Google Account you can use for the session and poke around at and create a new Google Spreadsheet. I suspect that most of you are going to use Microsoft Excel, LibreOffice, Gnumeric, etc., in your work after the class but using Google Docs means that we'll all be using the same software during the lecture.
* '''Morning, 10am-
* '''Afternoon, 1pm-3:30pm:''' [[Community Data Science Workshops (Fall 2014)/Day 3 projects|Python and analysis practice through short projects]]
* '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python
== Resources ==
* [[Community Data Science Workshops (Fall 2014)/Day 2 projects|Saturday November 15th projects]]
* [http://www.codecademy.com/tracks/apis-python Introduction to APIs in Python CodeAcademy exercises] - Includes information on using APIs from [http://npr.org/ NPR], [http://bit.ly Bitly], [https://sunlightfoundation.com/ Sunlight Foundation], and [http://placekitten.com/ PlaceKitten]
* [[Community Data Science Workshops (Fall 2014)/Day 3 lecture|Saturday November 22nd lecture]]
* [[Community Data Science Workshops (Fall 2014)/Day 3 projects|Saturday November 22nd projects]]
== Venue and Logistics ==
Parking at UW is available but is not free. There is [https://www.washington.edu/facilities/transportation/commuterservices/parking/selfserve self-serve parking] as well as gatehouses that are staffed from 7am on Saturday and can issue you parking passes and point you to an appropriate lot. More details are on the [https://www.washington.edu/facilities/transportation/commuterservices/parking/daily UW Commuter Services website for Visitors and Guests]. UW is also well served by public transportation and easily accessible by bicycle with the [https://en.wikipedia.org/wiki/Burke_Gilman_Trail Burke Giilman Trail].
One important note is that Huskies football games will be played at UW on '''Saturday November 8th and 22nd'''. The November 8th game will start at 4pm and
=== What to bring ===