INF 397 Research in Information Studies : Data Management and the Research Life Cycle
Cross-listing of P A 397C, hosted by the LBJ School of Public Affairs.
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.
This class uses Python as the main programming language because life is short, you need Python.
Graduate standing. Additional prerequisites may vary with the topic.
Restricted to graduate students in the School of Information through registration periods 1 and 2. Outside students will be permitted to join our waitlists beginning with registration period 3.