Editing Community Data Science Workshops (Spring 2015)
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:'''Time''': 6-9pm | :'''Time''': 6-9pm | ||
:'''Location''': [http://www.washington.edu/maps/#!/cmu Communications (CMU) 104] | :'''Location''': [http://www.washington.edu/maps/#!/cmu Communications (CMU) 104] | ||
:'''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> | <!--:'''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. | ||
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* learn about printing and using Python as a calculator | * learn about printing and using Python as a calculator | ||
=== Session 1: Introduction to Programming (April 11) === | === Session 1: Introduction to Programming (and April 11) === | ||
:'''Time:''' 9:45am-4pm | :'''Time:''' 9:45am-4pm | ||
:'''Location:''' 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 | :'''Location:''' 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 | ||
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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! | 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 | * '''Morning, 10am-12:20 (SAV 260):''' A 2 hour lecture-based introduction to the Python programming language <!-- [[Community Data Science Workshops (Spring 2014)/Day 1 lecture|A 2 hour lecture-based introduction to the Python programming language]] --> | ||
* '''Lunch, 12:20-1pm (pizza in Room 126):''' We'll provide lunch | * '''Lunch, 12:20-1pm (pizza in Room 126):''' We'll provide lunch | ||
* '''Afternoon, 1pm-3:30pm (Room 104, 126, 242):''' [[Community Data Science Workshops (Spring | * '''Afternoon, 1pm-3:30pm (Room 104, 126, 242):''' Python practice through short projects on a variety of fun and practical topics <!-- [[Community Data Science Workshops (Spring 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 | * '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python | ||
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:'''Location:''' 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 | :'''Location:''' 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 | ||
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 and Twitter 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]]. | |||
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 | |||
=== Session 3: Data Analysis and Visualization (May 9) === | === Session 3: Data Analysis and Visualization (May 9) === | ||
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:'''Location:''' 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 | :'''Location:''' 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 | ||
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 lecture outline can be found [[Community_Data_Science_Workshops_(Spring_2015)/Day_3_Lecture|here]], and the projects can be found [[Community_Data_Science_Workshops_(Spring_2015)/Day_3_Projects|here]]. | |||
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 == | <!-- == Resources == | ||
The following materials are currently being updated by the mentors: | The following materials are currently being updated by the mentors: | ||
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* [[Community Data Science Workshops (Spring 2015)/Day 1 projects|Saturday April 11th projects]] | * [[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] | * [http://www.codecademy.com/courses/python-beginner-en-kSQwt Introduction to Python CodeAcademy exercises] | ||
* [[Community Data Science Workshops (Spring 2015)/Day 2 lecture|Saturday April 25th lecture]] | * [[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]] | * [[Community Data Science Workshops (Spring 2015)/Day 2 projects|Saturday April 25th projects]] | ||
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--> | --> | ||
== Venue and Logistics == | == Venue and Logistics == | ||
=== Contact information === | === Contact information === | ||
If you have any questions about the | If you have any questions about the event, you can contact [mailto:makohill@uw.edu makohill@uw.edu]. | ||
=== Location === | === Location === | ||
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[[File:Dept.Comm_UW_vertical_small_square.jpg|180px]] | [[File:Dept.Comm_UW_vertical_small_square.jpg|180px]] | ||
[[File:EScience Logo RGB.png|250px]] | [[File:EScience Logo RGB.png|250px]] | ||