Introduction to Text Analysis in Python
This four-session course will provide participants with an introduction to analyzing textual data using Python. Topics will include how to read and prepare textual data for computational analysis, and basic techniques for analysis of large textual corpora, such as word frequency analysis, topic modeling, clustering and basic machine learning classification. This course is intended for graduate students, faculty and staff from any field at WashU who are interested in learning about quantitative text analysis and would like to become familiar with the main libraries and functions used to work with textual data in Python. Participants are expected to have a basic proficiency in Python. Participants who have taken TRIADS Introduction to Python class are welcome to attend.
This class will be fully in-person, and participants will use their own laptops. Enrollment is limited to 20.
Dates of Introduction to Text Analysis in Python series (all held in Olin Library, Instruction Room 3 from 11:30 am–1 pm):
- Monday, March 17
- Wednesday, March 19
- Monday, March 24
- Wednesday, March 26
DataLab Workshops
DataLab is a collaboration between Data Services and TRIADS, Bernard Becker Medical Library, TechDen, and DI2 to provide a breadth of workshops from the basics of understanding data to working with data tools. These workshops are open to all WashU affiliates and are held in the fall and spring semesters.