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Community Data Science Workshops (Fall 2014): Difference between revisions

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{{CDSW Moved}}
 
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 lastin timeother onsessions [[CDSWover (Springat 2014)|the archived[[Community versionData ofScience theWorkshops|Community websiteData forScience theWorkshops previous workshoppage]].
 
[[Image:Cdsw combo images-1.jpg]]
 
=== Session 0 (Friday November 7th Evening '''6:30-9:30pm''') ===
<div id="Session 0"></div>
 
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.
* learn about printing and using Python as a calculator
 
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<font size="+1">[[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial|>>Click here for the the setup and tutorial material.<<]]</font>
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=== Session 1 (Saturday November 8th) ===
<div id="Session 1"></div>
 
Come to '''[http://uw.edu/maps/?sav SavorySavery 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.
 
* '''Morning, 10am-noon12:20 (SAV 260):''' [[Community Data Science Workshops (Fall 2014)/Day 1 lecture|A 2 hour lecture-based introduction to the Python programming language]]
* '''Lunch, noon12:20-1pm (pizza in Room 126):''' We'll provide lunch
* '''Afternoon, 1pm-3:30pm:''' Python(Room practice104, through126, short120, projects on a variety of fun and practical topics242):''' <!--[[Community Data Science Workshops (Fall 2014)/Day 1 projects|Python practice through short projects on a variety of fun and practical topics]] -->
* '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python
 
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=== Session 2 (Saturday November 15th) ===
<div id="Session 2"></div>
 
Come to [http://www.washington.edu/maps/#!/sav SavorySavery Hall (SAV)] 104260 by '''9:45am'''. You will need time to get settled and setup. We want to start lecturing promptly at 10am.
 
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 brought 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 ''ShakespeareBaby Names'' and ''Wordplay''. We won't be looking at those in this session.
 
To participate in the [[Community Data Science Workshops (Fall 2014)/Day 2 Twitter project|Twitter afternoon session]], you ''must'' have registered with Twitter as a developer before the session by following the [[Community Data Science Workshops (Fall 2014)/Twitter authentication setup|Twitter authentication setup instructions]]. If you did not do this, or if you tried but did not succeed, please attend one of the other two sessions instead.
 
* '''Morning, 10am-noon12:20:''' '''(SAV 260)''' [[Community Data Science Workshops (Fall 2014)/Day 2 lecture|A 2 hour lecture-based introduction to the web APIs]]
* '''Lunch, noon12:20-1pm:''' '''(CMU 126)''' We'll provide lunch! in the form of vegetarian Indian food.
* '''Afternoon, 1pm-3:30pm:''' '''(CMU 104, 120, 126, 242)''' [[Community Data Science Workshops (Fall 2014)/Day 2 projects|Python and API practice through short projects]]
* '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python
 
 
=== Session 3 (Saturday November 22nd) ===
<div id="Session 3"></div>
 
Come to [http://uwwww.washington.edu/maps/?cmu#!/sav Savery Hall CMU(SAV)] 104260 by '''9:45am'''. You will need time to get settled and setup. We want to start lecturing promptly at 10am.
 
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 ''ShakespeareBaby 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-noon12:20:''' [[Community Data Science Workshops (Fall 2014)/Day 3 lecture|A 2 hour lecture-based introduction to data analysis]]
* '''Lunch, 12:20-1pm:''' We'll provide lunch! This week it will be vegetarian Greek food including veggie dolmathes, hummus and pita, greek salad, vegetarian souvlakei, rice, and oven baked potatoes with olive oil, garlic, and oregano.
* '''Lunch, noon-1pm:''' We'll provide lunch! And not pizza this time!
* '''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
 
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== Resources ==
* [[Community Data Science Workshops (Fall 2014)/Day 1 projects|Saturday November 8th projects]]
* [http://www.codecademy.com/courses/python-beginner-en-kSQwt Introduction to Python CodeAcademy exercises]
 
* [[Community Data Science Workshops (Fall 2014)/Day 2 lecture|Saturday November 15th lecture]]
* [[Community Data Science Workshops (Fall 2014)/Day 2 projects|Saturday November 15th projects]]
* [[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]]
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== Venue and Logistics ==
 
=== Contact information ===
 
If you have any questions about the event, you can contact [mailto:makohill@uw.edu makohill@uw.edu].
 
=== Location ===
The [http://www.com.washington.edu University of Washington Department of Communication] is hosting the event and all of our events '''except the Saturday morning lectures''' will be held in the '''Communications building (CMU)''' on the Seattle UW campus. This includes the Friday setup and the and all of the afternoon projects. You can find the building on [https://maps.google.com/maps?q=CMU+Building&hl=en&ll=47.655675,-122.306435&spn=0.018732,0.016394&sll=47.613028,-122.342064&sspn=0.599907,0.524597&hq=CMU+Building&t=m&z=16 this Google map] or on [http://www.washington.edu/maps/ this campus map from UW].
 
Because we have grown so big, we have had to move the lectures into a larger lecture hall than the CMU building has available. Please meet at '''Savery Hall 260''' ([http://uw.edu/maps/?sav map]) on '''the three Saturday mornings at 9:45'''. It is about a five minute walk from the Communications building. Unfortunately, most of the doors to Savery Hall are locked on weekends. The door on the '''west side of the building''' (i.e., the one nearest Kane Hall) should be open.
 
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 the time for the November 22nd game haswill notstart at been7:30 setpm. Parking may be more complicated and it might be worth considering taking public transit.
 
If you have any questions about the event, you can contact [mailto:makohill@uw.edu makohill@uw.edu].
 
=== What to bring ===
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