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Community Data Science Workshops: Difference between revisions

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The sessions run on one Friday evening for setup and on three Saturdays. Each session involves a period for lecture and technical demonstrations in the morning. This is followed by a lunch graciously provided by by one our sponsors ([http://escience.washington.edu/ eScience Institute at UW] for both of our previous sessions. The rest of the day consists of self-directed work on programming and data science projects supported by more experienced mentors.
'''Introduction to Programming (Session 1)''' — Programming is an essential tool for data science and is useful for solving many other problems. The goal of this session will be to introduce programming in the Python programming language. Each participant will leave having solved a real problem and will have built their first real programin their group. We will be relying on the curriculum from the Boston Python Workshops. Because we expect to hit the ground running, we will also run a session in the evening of '''the preceeding Friday (Session 0)''' to help participants get software installed.
'''Importing Data from Web APIs (Session 2)''' — 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 public [[:wikipedia:Web API|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 online communities.
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