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

== Notes on Twitter session 3 ==
;KEEP:
*start with pseudocode 
*walk through an example line by line
*give people time to try things on their own
*end with a walk through example/s created in the workshop

;CONSIDER CHANGING: 
Excel was a problem for students who got messy CSV files out of the programs they wrote in the free time. Chris argues iPython notebook would help avoid this issue.

In spite of having several mentors in the workshop, one student (an undergrad) didn’t get her free-time project working.  

;Notes on Twitter session 2  (API session)

No one who attended had prior experience working with Twitter data. 

Examples of things students said they’d like to be able to do with Twitter data:
*Most retweeted tweets
*Networks of users
*Popular hashtags
*Trends within and event like Diwali
*Identifying structure on twitter (?)
*Identifying words associated with virality (e.g. clickbait) 

[[Category:Fall_2015_series]]