Editing Community Data Science Workshops (Spring 2016)
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[[Image:Cdsw combo images-1.jpg|thumb|600px|[[Community Data Science Workshops/Photos|More photos from past workshops]].]] | [[Image:Cdsw combo images-1.jpg|thumb|600px|[[Community Data Science Workshops/Photos|More photos from past workshops]].]] | ||
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* Friday, April 8th (6-9pm) | * Friday, April 8th (6-9pm) | ||
* Saturday, April 9th (9:45-4pm) | * Saturday, April 9th (9:45-4pm) | ||
* Saturday, April | * Saturday, April 23th (9:45-4pm) | ||
* Saturday, May 7th (9:45-4pm) | * Saturday, May 7th (9:45-4pm) | ||
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== Registration == | == Registration == | ||
'''''Participants!''''' | '''''Participants!''''' If you are interested in learning data science, please fill out [http://goo.gl/forms/7TZ9cM0XMi our registration form here]. The deadline to register is Saturday April 2. We will let participants know if we have room for them by Monday April 4. Space is limited and will depend on how many mentors we can recruit for the sessions and the sizes of the rooms we can secure. | ||
'''''Interested in being a mentor?''''' If you already have experience with Python, please consider helping out at the sessions as a mentor. Being a mentor will involve working with participants and talking them through the challenges they encounter in programming. No special preparation is required. And we'll feed you! Because we want to keep a very high mentor-to-student ratio, recruiting more mentors means we can accept more participants. If you're interested you can [http://goo.gl/forms/6Ws3iIi6Y6 fill out this form] or email makohill@uw.edu. Also, thank you, thank you, thank you! | '''''Interested in being a mentor?''''' If you already have experience with Python, please consider helping out at the sessions as a mentor. Being a mentor will involve working with participants and talking them through the challenges they encounter in programming. No special preparation is required. And we'll feed you! Because we want to keep a very high mentor-to-student ratio, recruiting more mentors means we can accept more participants. If you're interested you can [http://goo.gl/forms/6Ws3iIi6Y6 fill out this form] or email makohill@uw.edu. Also, thank you, thank you, thank you! | ||
<!-- Unfortunately, registration is over and we were oversubscribed and we have a large waitlist. Sorry about that! This is our third set of workshops and we do hope to run more of these again in the future. --> | |||
== Schedule == | == Schedule == | ||
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=== Session 0: Setup and Programming Tutorial (Friday April 8 evening)=== | === Session 0: Setup and Programming Tutorial (Friday April 8 evening)=== | ||
:'''Time''': 6-9pm | |||
:'''Location''': TBD | |||
:'''Material''': <font size="+1">[[CDSW/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. | ||
:''' | <!-- :'''Material''': <font size="+1">[[Community Data Science Workshops (Spring 2016)/Day 0 setup and tutorial|Click here for the the setup and tutorial material.]]</font>--> | ||
:: | <!--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: | ||
* set up your development environment | |||
* learn how to execute Python code from a file and interactively from a Python prompt | |||
* learn about printing and using Python as a calculator | |||
=== Session 1: Introduction to Programming (April 9) === | === Session 1: Introduction to Programming (April 9) === | ||
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: '''Schedule''' | : '''Schedule''' | ||
:: '''Morning, 10am-12:20 | :: '''Morning, 10am-12:20:''' [[Community Data Science Workshops (Spring 2016)/Day 1 lecture|A 2 hour lecture-based introduction to the Python programming language]] | ||
:: '''Lunch, 12:20-1pm | :: '''Lunch, 12:20-1pm''': We'll provide lunch | ||
:: '''Afternoon, 1pm-3:30pm ( | :: '''Afternoon, 1pm-3:30pm (Room 104, 126, 242):''' [[Community Data Science Workshops (Spring 2016)/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 | ;Content | ||
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 (April 23) === | === Session 2: Importing Data from web APIs (April 23) === | ||
You will need time to get settled and setup. We will start lecturing promptly at 10am. There will be coffee! | |||
: '''Time:''' 9:45am-4pm | |||
: '''Location:''' [http://uw.edu/maps/?sav Savery Hall (SAV)] | |||
: ''' | : '''Schedule''' | ||
:: '''Morning: 10am-12:20 (SAV 260):''' [[Community Data Science Workshops (Sprint 2016)/Day 2 lection|A 2 hour lecture-based introduction to the web programming and APIs]] | |||
:: '''Lunch: 12:20-1pm (TBD):''' We'll provide lunch (TBD) | |||
:: '''Afternoon: 1pm-3:30pm (TBD):''' Web API practice through [[Community_Data_Science_Workshops_(Spring_2016)/Day_2_Projects|short projects on a variety of fun and practical topics]] | |||
:: '''Wrap-up: 3:30pm-4pm (SAV 260):''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | |||
;Content | |||
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_2016)/Day_2_Lecture|here]], and some info about the projects can be found [[Community_Data_Science_Workshops_(Spring_2016)/Day_2_Projects|here]]. | |||
;Projects | |||
* [[Community_Data_Science_Workshops_(Spring_2016)/Day_2_Projects/Twitter|Twitter]] | |||
* [[Community_Data_Science_Workshops_(Spring_2016)/Day_2_Projects/Wikipedia|Wikipedia]] | |||
* [[Community_Data_Science_Workshops_(Spring_2016)/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 | '''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 (May 7) === | === Session 3: Data Analysis and Visualization (May 7) === | ||
You will need time to get settled and setup. We will start lecturing promptly at 10am. There will be coffee! | |||
: '''Time''' | : '''Time:''' 9:45am-4pm | ||
: '''Location:''' [http://uw.edu/maps/?sav Savery Hall (SAV) 260] | : '''Location:''' [http://uw.edu/maps/?sav Savery Hall (SAV) 260] | ||
: '''Schedule''' | : '''Schedule''' | ||
:: '''Morning, 10am-12:20 (SAV 260):''' [[ | :: '''Morning, 10am-12:20 (SAV 260):''' [[Community_Data_Science_Workshops_(Spring_2016)/Day_3_Lecture|2 hour interactive lecture]] | ||
:: '''Lunch, 12:20-1pm (TBD):''' We'll provide lunch ( | :: '''Lunch, 12:20-1pm (TBD):''' We'll provide lunch (vegetarian Greek) | ||
:: '''Afternoon, 1pm-3:30pm (TBD): '''Web API practice through | :: '''Afternoon, 1pm-3:30pm (TBD):''' Web API practice through '''''[[Community_Data_Science_Workshops_(Spring_2016)/Day_3_Projects|independent projects]]''''' | ||
:: '''Wrap-up, 3:30-4pm (SAV 260) | :: '''Wrap-up, 3:30-4pm (SAV 260) | ||
;Content | |||
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. | |||
== Resources == | |||
The following materials are currently being updated by the mentors: | |||
* [[Community Data Science Workshops (Spring 2016)/Day 0 setup and tutorial|Friday April 10th setup and tutorial]] | |||
* [[Community Data Science Workshops (Spring 2016)/Day 1 lecture|Saturday April 11th lecture]] | |||
* [[Community Data Science Workshops (Spring 2016)/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 2016)/Day 2 lecture|Saturday April 25th lecture]] | |||
* [[Community Data Science Workshops (Spring 2016)/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 2016)/Day 3 lecture|Saturday May 9th lecture]] | |||
* [[Community Data Science Workshops (Spring 2016)/Day 3 projects|Saturday May 9th projects]] | |||
== Venue and Logistics == | == Venue and Logistics == | ||
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# a '''power cord''' | # a '''power cord''' | ||
# a '''sense of adventure!''' | # a '''sense of adventure!''' | ||
=== Contact information === | |||
If you have any questions about the events, you can contact [mailto:makohill@uw.edu makohill@uw.edu]. | |||
=== 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]. | |||
--> | |||
=== Food === | === Food === | ||
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* We use the hashtag [http://twitter.com/#!/search?q=%23cdsw #cdsw] | * We use the hashtag [http://twitter.com/#!/search?q=%23cdsw #cdsw] | ||
== About the Organizers == | == About the Organizers == |