# dlab-berkeley/Computational-Social-Science-Training-Program

<https://repo.masters-masters.com/en/repos/dlab-berkeley/Computational-Social-Science-Training-Program>

[Home](https://repo.masters-masters.com/en) › [dlab-berkeley](https://repo.masters-masters.com/en/owners/dlab-berkeley) › [Computational-Social-Science-Training-Program](https://repo.masters-masters.com/en/repos/dlab-berkeley/Computational-Social-Science-Training-Program)

dlab-berkeley/Computational-Social-Science-Training-Program has 309 stars on GitHub. Its RepoMasters card: Alpha tier. This course is a rigorous, year-long…

| Field | Value |
| --- | --- |
| Owner | [dlab-berkeley](https://repo.masters-masters.com/en/owners/dlab-berkeley) |
| Stars | 309 |
| Forks | 115 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [dlab-berkeley/Computational-Social-Science-Training-Program](https://github.com/dlab-berkeley/Computational-Social-Science-Training-Program) |

## Repository

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 soci…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.