Editing Community Data Science Workshops (Fall 2015)
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{| class="infobox" style="width: 600px; background-color:#ADC2E4" | {| class="infobox" style="width: 600px; background-color:#ADC2E4" | ||
| colspan="2" | '''<span class="plainlinks" style="font-weight:bold; font-size:2em; text-align:center;"> | | colspan="2" | '''<span class="plainlinks" style="font-weight:bold; font-size:2em; text-align:center;">[https://docs.google.com/forms/d/1xFOZiAxiLCSh2F8CL_SSCkgM8ItDayhwih7J0FiKM7Q/viewform Register for the workshop]</span>''' | ||
<span class="plainlinks" style="margin-left:1em;">Registration | <span class="plainlinks" style="margin-left:1em;">Registration closes on '''October 2.''' ''Have experience to share? [https://docs.google.com/forms/d/1ycV3HsWV_zaMWzuSSxyI4-_ye1NltVFFUtTbX3O6q6M/viewform Sign up to be a mentor]</span>'' | ||
|} | |} | ||
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The '''Community Data Science Workshops in Fall 2015''' are a series of project-based workshops being held at the University of Washington for anyone interested in learning how to use programming and data science tools to ask and answer questions about online communities like [http://en.wikipedia.org/ Wikipedia], [http://twitter.com Twitter], [[:w:Free software|free and open source software, and]] civic media. | The '''Community Data Science Workshops in Fall 2015''' are a series of project-based workshops being held at the University of Washington for anyone interested in learning how to use programming and data science tools to ask and answer questions about online communities like [http://en.wikipedia.org/ Wikipedia], [http://twitter.com Twitter], [[:w:Free software|free and open source software, and]] civic media. | ||
The | The workshops are for people with absolutely no previous programming experience and they bring together researchers and academics with participants and leaders in online communities. The workshops are run entirely by volunteers and are entirely free of charge for participants, generously sponsored by the [http://www.com.washington.edu/ UW Department of Communication] and the [http://escience.washington.edu/ eScience Institute]. Participants from outside UW are encouraged to apply. | ||
Our goal is that, after the three workshops, participants will be able to use data to produce numbers, hypothesis tests, tables, and graphical visualizations to answer questions like: | Our goal is that, after the three workshops, participants will be able to use data to produce numbers, hypothesis tests, tables, and graphical visualizations to answer questions like: | ||
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=== Session 0: Setup and Programming Tutorial (Friday October 9 evening)=== | === Session 0: Setup and Programming Tutorial (Friday October 9 evening)=== | ||
:'''Time''': 6-9pm | :'''Time''': 6-9pm | ||
:'''Location''': | :'''Location''': TBD | ||
:'''Material''': <font size="+1">[[Community Data Science Workshops ( | <!-- :'''Material''': <font size="+1">[[Community Data Science Workshops (Spring 2015)/Day 0 setup and tutorial|Click here for the the setup and tutorial material.]]</font>--> | ||
:'''Note:''' Because we expect to hit the ground running on our first full day, we will meet to help participants get software installed and to work through a self-guided tutorial that will help ensure that everyone has the skills and vocabulary to start programming and learning when we meet the following morning. | :'''Note:''' Because we expect to hit the ground running on our first full day, we will meet to help participants get software installed and to work through a self-guided tutorial that will help ensure that everyone has the skills and vocabulary to start programming and learning when we meet the following morning. | ||
Come to '''[http://www.washington.edu/maps/#!/cmu Communications (CMU) 104] between 6:00 and 9:00pm.''' 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. | <!--Come to '''[http://www.washington.edu/maps/#!/cmu Communications (CMU) 104] between 6:00 and 9:00pm.''' 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. --> | ||
During this session, mentors will help you: | During this session, mentors will help you: | ||
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=== Session 1: Introduction to Programming (October 10) === | === Session 1: Introduction to Programming (October 10) === | ||
:'''Time:''' 9:45am-4pm | :'''Time:''' 9:45am-4pm | ||
:''' | :'''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! | ||
* '''Morning, 10am-12:20 (SAV 260):''' [[Community Data Science Workshops (Spring 2015)/Day 1 lecture|A 2 hour lecture-based introduction to the Python programming language]] | |||
* '''Morning, 10am-12:20 ( | * '''Lunch, 12:20-1pm (pizza in Room 126):''' We'll provide lunch | ||
* '''Lunch, 12:20-1pm ( | * '''Afternoon, 1pm-3:30pm (Room 104, 126, 242):''' [[Community Data Science Workshops (Spring 2015)/Day 1 projects|Python practice through short projects on a variety of fun and practical topics]] | ||
* '''Afternoon, 1pm-3:30pm ( | |||
* '''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 | ||
--> | |||
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 [http://www.python.org/ Python programming language]. Each participant will leave having solved a real problem and will have built their first real programming project. | |||
=== Session 2: Importing Data from web APIs (October 24) === | === Session 2: Importing Data from web APIs (October 24) === | ||
:'''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! | ||
* '''Morning, 10am-12:20 (SAV 260):''' [[Community Data Science Workshops (Sprint 2015)/Day 2 lection|A 2 hour lecture-based introduction to the web programming and APIs]] | |||
* '''Morning, 10am-12:20 ( | * '''Lunch, 12:20-1pm (CMU 126):''' We'll provide lunch (vegetarian Indian) | ||
* '''Lunch, 12:20-1pm ( | * '''Afternoon, 1pm-3:30pm (CMU 104, 126, 242):''' Web API practice through [[Community_Data_Science_Workshops_(Spring_2015)/Day_2_Projects|short projects on a variety of fun and practical topics]] | ||
* '''Afternoon, 1pm-3:30pm ( | |||
* '''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 | ||
--> | |||
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 [https://en.wikipedia.org/wiki/Application_programming_interface public application programming interfaces] ("APIs") common to many social media and online communities. Although we will use the APIs provided by Wikipedia, Twitter, and Socrata in the session, the principles and techniques are common to many other online communities. | |||
<!-- An outline for the lecture can be found [[Community_Data_Science_Workshops_(Spring_2015)/Day_2_Lecture|here]], and some info about the projects can be found [[Community_Data_Science_Workshops_(Spring_2015)/Day_2_Projects|here]]. | |||
<!-- | |||
''' | ;Projects | ||
* [[Community_Data_Science_Workshops_(Spring_2015)/Day_2_Projects/Twitter|Twitter]] | |||
* [[Community_Data_Science_Workshops_(Spring_2015)/Day_2_Projects/Wikipedia|Wikipedia]] | |||
* [[Community_Data_Science_Workshops_(Spring_2015)/Day_2_Projects/Socrata|Socrata (data.seattle.gov)]] | |||
'''Important Note:''' If you plan to attend the Twitter afternoon session, you need to complete the [[Twitter authentication setup]] ''before'' the afternoon setup on Saturday. | |||
--> | |||
=== Session 3: Data Analysis and Visualization (November 7) === | === Session 3: Data Analysis and Visualization (November 7) === | ||
:'''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. | ||
<!-- | |||
* '''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]]''''' | |||
--> | |||
<!-- | |||
== 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!''' | ||
--> | |||
=== Food === | === Food === | ||
Thanks to generous sponsorship by the [http://escience.washington.edu/ eScience Institute at UW], we will provide catered lunchs during the Saturday sessions. Although we haven't figured out the menu, the food will all be vegetarian and there will be vegan and gluten free options. If the food we have doesn't doesn't work for you, there is a food court open for lunch in [http://depts.washington.edu/thehub/ the HUB] (the UW student center) that is | Thanks to generous sponsorship by the [http://escience.washington.edu/ eScience Institute at UW], we will provide catered lunchs during the Saturday sessions. Although we haven't figured out the menu, the food will all be vegetarian and there will be vegan and gluten free options. If the food we have doesn't doesn't work for you, there is a food court open for lunch in [http://depts.washington.edu/thehub/ the HUB] (the UW student center) that is almost directly next door. | ||
=== Social Media === | === Social Media === |