dlab-berkeley/Computational-Social-Science-Training-Program
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.
Jupyter Notebook
Stargazers
- a-p-joSelf-Employed
- aadityadarWashington, DC
- akiovinicius
- alexramiller
- AnthonyPalafoxUC Berkeley
- aviola98University of São Paulo
- chengren
- cmcrawford4792
- danyangli22
- dianacasanovaUC, Berkeley
- EastBayEvEast Bay, CA
- ElizabethBreenElizabeth A Breen
- gomeza623
- heroashman
- jaeyk@codeforamerica @snfagora @p3lab
- jharney0520Colorado State University
- jmsanders55
- jordanweiss
- kansoyUniversity of Oxford
- KariPeterson
- krazyaria
- lauraschmahmannUniversity of California, Berkeley
- lawrence-j-liu
- mahadertamene
- maskegger
- mjkeh
- monicadelacruz
- nikolasjdawsonBits & Atoms
- punchagan@tarides
- rbarretoBerkeley, CA
- schetudiante
- sociologyquinnUC Berkeley
- sonoshah@pewresearch
- vqsierraBaltimore, MD
- XDurham
- yaelnidamUniversity of California Berkeley