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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: '''Schedule''' | : '''Schedule''' | ||
:: '''Morning, 10am-12:20 (SAV 260)''': [[CDSW/Day_1_lecture|A 2 | :: '''Morning, 10am-12:20 (SAV 260)''': [[CDSW/Day_1_lecture|A 2 hour lecture-based introduction to the Python programming language]] | ||
:: '''Lunch, 12:20-1pm ( | :: '''Lunch, 12:20-1pm (TBD)''': We'll provide lunch | ||
:: '''Afternoon, 1pm-3:30pm ( | :: '''Afternoon, 1pm-3:30pm (TBD):''' Python practice through short projects (see below) 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 | :: '''Wrap-up, 3:30pm-4pm (SAV 260):''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | ||
: '''Objectives''': 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. | : '''Objectives''': 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. | ||
: '''Projects''': | |||
:: [[Baby_Names | Baby Names]] | |||
:: [[Code_Academy | Code Academy]] | |||
=== Session 2: Importing Data from web APIs (April 23) === | === Session 2: Importing Data from web APIs (April 23) === | ||
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: '''Schedule''': | : '''Schedule''': | ||
:: '''Morning: 10am-12:20 (SAV 260)''': [[CDSW/Day_2_Lecture|A 2 | :: '''Morning: 10am-12:20 (SAV 260)''': [[CDSW/Day_2_Lecture|A 2 hour lecture-based introduction to the web programming and APIs]] | ||
:: '''Lunch: 12:20-1pm ( | :: '''Lunch: 12:20-1pm (TBD)''': We'll provide lunch (TBD) | ||
:: '''Afternoon: 1pm-3:30pm ( | :: '''Afternoon: 1pm-3:30pm (TBD)''': Web API practice through short projects (see below) 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 | :: '''Wrap-up: 3:30pm-4pm (SAV 260)''': Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | ||
: '''Objectives''': 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. | : '''Objectives''': 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 [[CDSW/Day_2_lecture|here]] and a list of | : An outline for the lecture can be found [[CDSW/Day_2_lecture|here]] and a list of projects for the afternoon session are listed below. | ||
: '''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) === | ||
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: '''Schedule''': | : '''Schedule''': | ||
:: '''Morning, 10am-12:20 (SAV 260):''' [[CDSW/Day_3_Lecture|2 | :: '''Morning, 10am-12:20 (SAV 260):''' [[CDSW/Day_3_Lecture|2 hour interactive lecture]] | ||
:: '''Lunch, 12:20-1pm (TBD):''' We'll provide lunch (TBD) | :: '''Lunch, 12:20-1pm (TBD):''' We'll provide lunch (TBD) | ||
:: '''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) | ||
: '''Objectives''': 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. | : '''Objectives''': 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. | ||
:'''Projects''': '''(TBD)''' | |||
== 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 === | ||
Please meet at '''Savery Hall 260''' ([http://www.openstreetmap.org/export#map=17/47.65715/-122.30750 map]) on the '''the three Saturday mornings at 9:45'''. 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 Gilman 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 == |