Editing Community Data Science Workshops (Fall 2015) (section)

=== Session 3: Data Analysis and Visualization (November 7) ===

:'''Time:''' 9:45am-4pm
:'''Location:''' 
:* Morning [http://www.lib.washington.edu/ougl/learning-spaces/active-learning-classrooms Active Learning Classroom 136] in Odegaard Library ([http://www.washington.edu/maps/#!/oug map])
:* Afternoon [http://www.lib.washington.edu/commons UW Research Commons] in Allen Library ([http://www.washington.edu/maps/#!/alb map])

Come to '''[http://www.washington.edu/maps/#!/oug Odegaard Library Room 136] by 9:45am''' You will need time to get settled and setup. We will start lecturing promptly at 10am. There will be coffee! 

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.

'''Activities'''
* Morning: [[Community_Data_Science_Workshops_(Fall_2015)/Day_3_Lecture|A 140 minute interactive lecture]]
* Afternoon: [[Community_Data_Science_Workshops_(Fall_2015)/Day_3_Projects|independent projects]] using data from...

:* [[Harry Potter on Wikipedia|Visualization and analysis using Spreadsheets]]
:* [[Matplotlib|Visualization using Python and Matplotlib]]
:* [[Community_Data_Science_Workshops_(Fall_2015)/Day_3_Projects/Twitter|Analyzing data from Twitter]]
:* [[Community_Data_Science_Workshops_(Fall_2015)/Day_3_Projects/Civic_data|Analyzing civic data from data.seattle.gov]]
:* Independent projects working on issues of ''your'' choosing!