Introduction to Data Science

4 credits

Introduces data science in the context of libraries, cultural heritage, and humanities research. Covers basic programming in R, data wrangling, visualization, and text analysis, alongside ethical issues. Students gain practical skills and critical perspectives to engage with data-centric tools and environments across library, research, and public domains. Course equivalent to: IMT 572.