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

D-Lab's 2 hour workshop on AI assisted coding in Visual Studio Code using GitHub Copilot

D-Lab's 6-part, 12-hour introduction to Python. Learn how to create variables, use methods and functions, work with if-statements and for-loops, and do data analysis with Pandas, using Python and Jupyter.

Overview of D-Lab workshops and the order in which to take them.

D-Lab's 2-part, 3.5 hour introduction to workshop instruction.

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.

Materials for D-Lab / UC Berkeley Graduate Division's Data Science for Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.

Listing for D-Lab courses

Python Programming for Digital Humanities, UC Berkeley Summer 2024, taught by Prashant Sharma

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