Exploring trends, technologies, e-resource management, and digital services in libraries.

Learn to Text Data Mine with Jupyter Notebooks on Google Colab

March 29 – April 8, 2021

This is a self-paced course with live office hours.

Course Materials Released: March 29

Live Office Hours: April 1 & 8

Cost: $175

AUDIENCE LEVEL: Intermediate

COURSE DESCRIPTION:

This hands-on and gentle introduction to Python programming is designed to help librarians learn to analyze text content using Google Colab. By the end of this workshop, participants will gain experience using Python tools to:

  • clean text data.
  • calculate term frequencies.
  • identify parts of speech and named entities.
  • calculate sentiment.
  • topic modeling.

Following the workshop, participants will be able to: 

  • use Google Colab to automate processes using Python.
  • install Python libraries and modules found of GitHub.
  • understand how Python can be used to perform text data mining on a corpus of text.

COURSE INSTRUCTORS:

Joshua Been
Assistant Librarian and Director of Data and Digital Scholarship
Baylor University

Joshua Been is the Director of Data & Digital Scholarship at Baylor University Libraries. His research interests in data science education includes text data mining, data visualization, and geospatial research. In addition to providing campus-wide research support in these areas, Joshua leads teams to build online, interdisciplinary education training programs in data research.

TECHNOLOGY NEEDS: 

To be shared with registered course attendees prior to course start date.

COURSE OUTLINE:

To be shared with registered course attendees prior to course start date.

March 16 – 19, 2021

1:30 pm – 4:00 pm (Central)

This is a self-paced course with live office hours.

Course Materials Released: March 29

Live Office Hours: April 1 & 8

Cost: $175