Spring 2022
INF 385T.09 Special Topics in Information Science: Data Wrangling
DESCRIPTION
Learning key data wrangling maneuvers in abstract and implementations in SQL, Excel, R Tidyverse, and Python Pandas. Maneuvers in data transformations include Nest, Pivot, Mutate (inc. separate/unite), Group/Summarize and Rectangling. Projects include working with "wild caught" data datasets (usually CSV or JSON) and computational notebook environments (e.g., iPython, Jupyter, Rmarkdown, Quarto). Fall 2024 has changes from previous syllabus now that we have Database Design and Introduction to Programming. Nonetheless, the previous syllabus is still useful as it links to course materials that show the teaching approach and type of assignments. http://howisonlab.github.io/datawrangling/#Schedule_of_classes
PREREQUISITES
Graduate standing.
RESTRICTIONS
Restricted to graduate degree seekers in the School of Information during registration periods 1 and 2. Remaining seats will be made available to outside students on January 13th. In the meantime, interested non-iSchool students may request a seat reservation by completing this Registration Support Questionnaire.