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Community Data Science Workshops (Spring 2016)
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=== Session 3: Data Analysis and Visualization (May 7) === Come to '''[http://uw.edu/maps/?sav Savery Hall (SAV) 260] by 9:45am'''. 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) 260] : '''Schedule''': :: '''Morning, 10am-12:20 (SAV 260):''' [[CDSW/Day_3_Lecture|2.5 hour interactive lecture]] :: '''Lunch, 12:20-1pm (TBD):''' We'll provide lunch (TBD) :: '''Afternoon, 1pm-3:30pm (TBD): '''Web API practice through independent projects ::* [[Harry Potter on Wikipedia|Visualization and analysis using Spreadsheets]] ::* [[Matplotlib|Visualization using Python and Matplotlib]] ::* [[Community_Data_Science_Workshops_(Spring_2016)/Day_3_Projects/Twitter|Analyzing data from Twitter]] ::* [[Community_Data_Science_Workshops_(Spring_2016)/Day_3_Projects|Visualization and analysis of civic data from data.seattle.gov]] ::* Independent projects working on issues of ''your'' choosing! :: '''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.
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