Editing Community Data Science Workshops (Fall 2015)
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'''Day schedule''' | '''Day schedule''' | ||
* '''Morning, 10am-12:20 (Odegaard 136):''' [[Community Data Science Workshops (Fall 2015)/Day 1 lecture|A | * '''Morning, 10am-12:20 (Odegaard 136):''' [[Community Data Science Workshops (Fall 2015)/Day 1 lecture|A 2 hour lecture-based introduction to the Python programming language]] | ||
* '''Lunch, 12:20-1pm ( | * '''Lunch, 12:20-1pm (pizza in Odegard library):''' We'll provide lunch | ||
* '''Afternoon, 1pm-3:30pm (Research commons):''' [[Community Data Science Workshops (Fall 2015)/Day 1 projects|Python practice through short projects on a variety of fun and practical topics]] | * '''Afternoon, 1pm-3:30pm (Research commons):''' [[Community Data Science Workshops (Fall 2015)/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 | * '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | ||
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'''Day schedule''' | '''Day schedule''' | ||
* '''Morning, 10am-12:20 (Odegaard 136):''' [[Community Data Science Workshops (Fall 2015)/Day 2 lecture|A 140 minute lecture-based | * '''Morning, 10am-12:20 (Odegaard 136):''' [[Community Data Science Workshops (Fall 2015)/Day 2 lecture|A 140 minute lecture-based introduction to the web programming and APIs]] | ||
* '''Lunch, 12:20-1pm ( | * '''Lunch, 12:20-1pm (pizza in Odegard library):''' We'll provide lunch (vegetarian Indian) | ||
* '''Afternoon, 1pm-3:30pm (Research commons):''' [[Community Data Science Workshops (Fall 2015)/Day 2 projects|Web API practice through short projects on a variety of fun and practical topics]] | * '''Afternoon, 1pm-3:30pm (Research commons):''' [[Community Data Science Workshops (Fall 2015)/Day 2 projects|Web API 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 | * '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | ||
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* [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Twitter|Twitter]] '''(*)''' | * [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Twitter|Twitter]] '''(*)''' | ||
* [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Wikipedia|Wikipedia]] | * [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Wikipedia|Wikipedia]] | ||
* [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Socrata|Data.seattle.gov]] | |||
* [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Yelp|Yelp]] '''(*)''' | * [[Community_Data_Science_Workshops_(Fall_2015)/Day_2_projects/Yelp|Yelp]] '''(*)''' | ||
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:'''Time:''' 9:45am-4pm | :'''Time:''' 9:45am-4pm | ||
:'''Location:''' | :'''Location:''' TBD <!-- Morning in [http://uw.edu/maps/?sav Savery Hall (SAV) 260]; Afternoon in [http://www.washington.edu/maps/#!/cmu Communications (CMU)] 104, 126 and 242 | ||
Come to '''[http:// | 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 will start lecturing promptly at 10am. There will be coffee!--> | ||
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. | 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. | ||
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* '''Morning, 10am-12:20 (SAV 260):''' [[Community_Data_Science_Workshops_(Spring_2015)/Day_3_Lecture|2 hour interactive lecture]] | |||
* '''Lunch, 12:20-1pm (CMU 126):''' We'll provide lunch (vegetarian Greek) | |||
* '''Afternoon, 1pm-3:30pm (CMU 104, 126, 242):''' Web API practice through '''''[[Community_Data_Science_Workshops_(Spring_2015)/Day_3_Projects|independent projects]]''''' | |||
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== Resources == | |||
The following materials are currently being updated by the mentors: | |||
* [[Community Data Science Workshops (Spring 2015)/Day 0 setup and tutorial|Friday April 10th setup and tutorial]] | |||
* [[Community Data Science Workshops (Spring 2015)/Day 1 lecture|Saturday April 11th lecture]] | |||
* [[Community Data Science Workshops (Spring 2015)/Day 1 projects|Saturday April 11th projects]] | |||
* [http://www.codecademy.com/courses/python-beginner-en-kSQwt Introduction to Python CodeAcademy exercises] | |||
* [[Twitter authentication setup]] | |||
* [[Community Data Science Workshops (Spring 2015)/Day 2 lecture|Saturday April 25th lecture]] | |||
* [[Community Data Science Workshops (Spring 2015)/Day 2 projects|Saturday April 25th 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 (Spring 2015)/Day 3 lecture|Saturday May 9th lecture]] | |||
* [[Community Data Science Workshops (Spring 2015)/Day 3 projects|Saturday May 9th projects]] | |||
== Venue and Logistics == | == Venue and Logistics == | ||
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=== Location === | === 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]. | 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]. | ||
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# a '''power cord''' | # a '''power cord''' | ||
# a '''sense of adventure!''' | # a '''sense of adventure!''' | ||
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=== Food === | === Food === |