Courses 2019 · IN
- Black Spatial Humanities
- Collections as Data
- Digital Humanities + Latinx Studies: Doing Work that Matters
- Getting Started with Data, Tools, and Platforms
- Help! I’m a Humanist! — Humanities Programming with Python
- Image Analysis with Deep Learning
- Introduction to the Text Encoding Initiative (TEI) for Black Digital Humanities
- Text Analysis with Machine Learning and NLP
This course introduces participants to humanities programming through the use of Python for data acquisition, cleaning, and analysis. The course assumes no prior technical knowledge and will focus on accomplishing basic research tasks. Students should walk away feeling equipped to tackle a variety of typical problems that arise for digital humanists.
We will discuss programming and debugging concepts through the design, implementation, and presentation of small projects working with humanities data. Primary technologies and topics covered in this course will include the command line, Git, GitHub, and Python; working with data sources such as API’s, CSV files, and data scraped from the web; and basic text analysis. Over the course of the week, we will work with data from DPLA and Project Gutenberg. If the words above mean nothing to you, don’t panic—this course is for you.
If you intend to bring your own laptop, you will need to have administrative rights in order to install software. Please feel free to write us if you have concerns or questions about what that might mean – it’s easy to answer a quick email and make sure you’ll be set up for success!