Social Media Analytics with Python
The University of Iowa, a pioneer in Informatics research, will host a data science institute featuring a number of mini-classes the week of June 5-9, 2017. The workshop is a collaborative effort between the Iowa Social Science Research Center (ISRC) and the Iowa Informatics Initiative (UI3). The institute will teach participants about the basic building blocks of coding as applied in the fields of the Biological, Physical, Social Sciences, and Digital Humanities. We welcome faculty, staff, post-docs, graduate, and undergraduate students interested in building new skills in informatics. The topics for year 2017 include introductions to the Python and R programming languages, information and data visualization, geospatial analysis, social media analytics. Faculty from UI3, Computer Science, Management Science, and Social Science will teach the courses.
This unique course will introduce the basic elements in big data based social media analytics using Python. In the morning sessions, the attendees will learn how to view, utilize, analyze social media data in terms of finding answers to a research question. In the afternoon hands-on sessions, the attendees will be able to find an opportunity of collecting, processing, and analyzing real Twitter data focusing on a specific target of interest. Prior experience with Python is recommended, but not required. Please note that social network analysis will not be covered significantly in this course, because it will be further covered by other course on Friday entitled "Network Analysis Using R". Please follow the prerequisites in PDF for installation of necessary tools for this class. The lectures slides are here.
The morning session is lecture and example code and led by Dr. Kang P. Lee (9 Am - 12 Pm) and aftenoon session (1:30 - 3:30 Pm) is the hands-on session led by a TA.
Thursday, June 8, 2017 at 1:30pm to 3:30pm
College of Public Health Building, N110 (Callaghan Auditorium)
145 North Riverside Drive, Iowa City, IA