D-Lab

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...

dlab-berkeley

dlab-berkeley

Introduction to Programming for UC Berkeley's D-Lab

dlab-berkeley

python resources of berkeley curated at a place

dlab-berkeley

API and web scraping workshops

dlab-berkeley

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

dlab-berkeley

D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.

dlab-berkeley

Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab

dlab-berkeley

D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using GeoPandas in Python.

dlab-berkeley

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

dlab-berkeley