Python Programming for Digital Humanities, UC Berkeley Summer 2025, taught by Merve Tekgurler

D-Lab's introduction to NLP in Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python.

This repository is for D-Lab workshops that require practicing with Git.

This introductory workshop covers basics of Git using command line(Bash). We will cover key concepts and workflows, including version control, repository creation, branching, merging, and collaboration.

D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

D-Lab's 2 hour introduction to MAXQDA. Learn how to conduct qualitative data analysis using MAXQDA.

This workshop introduces the fundamentals of SQL, with a focus on using SQLite (the most ubiquitous database on the planet) for data science tasks.