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Community Data Science Workshops (Spring 2014)
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== 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 April 4th Evening '''6-9pm''') === Come to [http://uw.edu/maps/?cmu CMU] 104 between '''6:00 and 9:00pm'''. It's OK if you come 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 6pm as you can. 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 We understand that there are some people who will attend the Saturday workshop but who cannot make it the Friday session. That's OK but it means that you'll be on your own and responsible to get everything set up before our first meeting on Saturday morning. We'll post all the information for the Friday session on this page and you will able to follow along. <font size="+1">[[Community Data Science Workshops/Friday April 4th setup and tutorial|>>Click here for the the setup and tutorial material.<<]]</font> === Session 1 (Saturday April 5th) === Come to [http://uw.edu/maps/?cmu CMU] 104 by '''9:45am'''. You will need time to get settled and setup. We want to start lecturing promptly at 10am. * '''Morning, 10am-noon:''' [[Community Data Science Workshops/Saturday April 5th lecture|A 2 hour lecture-based introduction to the Python programming language]] * '''Lunch, noon-1pm:''' We'll provide lunch * '''Afternoon, 1pm-3:30pm:''' [[Community Data Science Workshops/Saturday April 5th 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 May 3rd) === Come to [http://uw.edu/maps/?cmu CMU] 104 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/Friday April 4th 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 ''Colorwall'' and ''Wordplay''. We won't be looking at those in this session. To participate in the [[Community Data Science Workshops/May 3rd Twitter project|Twitter afternoon session]], you ''must'' have registered with Twitter as a developer before the session by following the [[Community Data Science Workshops/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-noon:''' [[Community Data Science Workshops/Saturday May 3rd lecture|A 2 hour lecture-based introduction to the web APIs]] * '''Lunch, noon-1pm:''' We'll provide lunch! * '''Afternoon, 1pm-3:30pm:''' [[Community Data Science Workshops/Saturday May 3rd 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 May 31st) === Come to [http://uw.edu/maps/?cmu CMU] 104 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/Friday April 4th 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 ''Colorwall'' 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-noon:''' [[Community Data Science Workshops/Saturday May 31st lecture|A 2 hour lecture-based introduction to data analysis]] * '''Lunch, noon-1pm:''' We'll provide lunch! And not pizza this time! * '''Afternoon, 1pm-3:30pm:''' [[Community Data Science Workshops/Saturday May 31st 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
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