Fall 2020

INF 385T.09 Special Topics in Information Science: Data Wrangling

Unique ID: 27288

Synchronous online class meetings along with additional asynchronous online coursework.

Review Previous Course Iterations & Syllabi



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


previous syllabus: https://howisonlab.github.io/datawrangling/index.html


Graduate standing.


Registration priority given to iSchool students. Additional seats may open up for outside students in a later registration period.