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Instructors: Dr. Wei Ding
Event type:
online: Practice class
Displayed in timetable as:
Data processing
Hours per week:
2
Language of instruction:
Englisch
Min. | Max. participants:
- | 30
Registration group: Softdkill
Contents:
This course offers an introduction to text analysis tools applied in Digital Humanities research and Python programming for data analysis and visualization.
The goals of this course are
- to understand basic concepts and the differences between unstructured, semi-structured, and structured data
- to develop familiarity with a range of data formats and a variety of digital tools to create, organize, and explore data
- to analyze and visualize different datasets via Python
Recommended reading list:
Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text. 2015
https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/
Text analysis via Voyant tools (http://voyant-tools.org)
Montfort, Nick. Exploratory programming for the arts and humanities. MIT Press, 2021.
Sweigart, Al. Automate the boring stuff with Python: practical programming for total beginners. No Starch Press, 2019.
Digital teaching:
Course participants will be emailed an invitation link before the start of the course.
"Frequently asked questions about Microsoft Teams":
https://www.zdv.uni-mainz.de/haeufige-fragen-zu-microsoft-teams-an-der-jgu/
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