Editing Community Data Science Workshops (Fall 2014) (section)

== Schedule ==

All sessions are interactive and involve you programming on your own and on your own laptop. Everybody attending should bring a laptop and a power cord so that they don't run out of battery.

=== Session 0 (Friday November 7th Evening '''6:30-9:30pm''') ===
<div id="Session 0"></div>

Come to '''[http://www.washington.edu/maps/#!/cmu Communications (CMU) 104] between 6:30 and 9:30pm'''. 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

<font size="+1">[[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial|>>Click here for the the setup and tutorial material.<<]]</font>

=== Session 1 (Saturday November 8th) ===
<div id="Session 1"></div>

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 want to start lecturing promptly at 10am.

* '''Morning, 10am-12:20 (SAV 260):''' [[Community Data Science Workshops (Fall 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
* '''Afternoon, 1pm-3:30pm (Room 104, 126, 120, 242):''' [[Community Data Science Workshops (Fall 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

=== Session 2 (Saturday November 15th) ===
<div id="Session 2"></div>

Come to [http://www.washington.edu/maps/#!/sav Savery Hall (SAV)] 260 by '''9:45am'''. You will need time to get settled and setup. We want to start lecturing promptly at 10am.

Please come prepared to start working in your Python interpreter during the lesson. If you are going to be bringing a different computer than the one you brought and setup last time, you will need to go through the setup section of the [[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial|setup and tutorial session from the first Friday session]]. You don't need to do the tutorial or CodeAcademy lessons again unless you think that you could use a refresher. You can also skip the sections about installing ''Baby Names'' and ''Wordplay''. We won't be looking at those in this session.

To participate in the [[Community Data Science Workshops (Fall 2014)/Day 2 Twitter project|Twitter afternoon session]], you ''must'' have registered with Twitter as a developer before the session by following the [[Twitter authentication setup|Twitter authentication setup instructions]]. If you did not do this, or if you tried but did not succeed, please attend one of the other two sessions instead.

* '''Morning, 10am-12:20:''' '''(SAV 260)''' [[Community Data Science Workshops (Fall 2014)/Day 2 lecture|A 2 hour lecture-based introduction to the web APIs]]
* '''Lunch, 12:20-1pm:''' '''(CMU 126)''' We'll provide lunch in the form of vegetarian Indian food.
* '''Afternoon, 1pm-3:30pm:''' '''(CMU 104, 120, 126, 242)''' [[Community Data Science Workshops (Fall 2014)/Day 2 projects|Python and API practice through short projects]]
* '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python


=== Session 3 (Saturday November 22nd) ===
<div id="Session 3"></div>

Come to [http://www.washington.edu/maps/#!/sav Savery Hall (SAV)] 260 by '''9:45am'''. You will need time to get settled and setup. We want to start lecturing promptly at 10am.

Please come prepared to start working in your Python interpreter during the lesson. If you are going to be bringing a different computer than the one you brough and setup last time, you will need to go through the setup section of the [[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial|setup and tutorial session from the first Friday session]]. You don't need to do the tutorial or CodeAcademy lessons again unless you think that you could use a refresher. You can also skip the sections about installing ''Baby Names'' and ''Wordplay''. We won't be looking at those in this session.

In the lecture, we're going to be doing building some simple visualizations online in [http://docs.google.com Google Docs]. Please make sure you have a Google Account you can use for the session and poke around at and create a new Google Spreadsheet. I suspect that most of you are going to use Microsoft Excel, LibreOffice, Gnumeric, etc., in your work after the class but using Google Docs means that we'll all be using the same software during the lecture.

* '''Morning, 10am-12:20:''' [[Community Data Science Workshops (Fall 2014)/Day 3 lecture|A 2 hour lecture-based introduction to data analysis]]
* '''Lunch, 12:20-1pm:''' We'll provide lunch! This week it will be vegetarian Greek food including veggie dolmathes, hummus and pita, greek salad, vegetarian souvlakei, rice, and oven baked potatoes with olive oil, garlic, and oregano.
* '''Afternoon, 1pm-3:30pm:''' [[Community Data Science Workshops (Fall 2014)/Day 3 projects|Python and analysis practice through short projects]]
* '''Wrap-up, 3:30pm-4pm:''' Wrap-up, next steps, and upcoming opportunities for learning and practicing Python