Spring 2021
INF 397 Research in Information Studies: Data Management and the Research Life Cycle
Mon
Synchronous class meetings conducted online. Cross-listing of P A 397C, hosted by the LBJ School of Public Affairs.
DESCRIPTION
This class equips thoughtful thinkers with powerful data science skills. You will learn how to manage and work with complex and big datasets in social science research, particularly in policy and nonprofit studies. You are expected to learn the following skills and respond to "big questions" that have social importance: 1) Understand the structure of data and how to work with big and complex datasets; 2) Understand the workflows of acquiring and managing data; 3) Able to conduct data-intensive and replicable social science research. *NOTE: In previous years, this topic was offered as INF 385T. These classes are identical, and students may not receive credit for both versions.
COURSE NOTES
This class uses Python as the main programming language because life is short, you need Python.
PREREQUISITES
Graduate standing.
RESTRICTIONS
iSchool students prioritized during earlier registration periods. Additional seats may become available for outside students in a later period.