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.
☆240Updated last week
Alternatives and similar repositories for Computational-Social-Science-Training-Program:
Users that are interested in Computational-Social-Science-Training-Program are comparing it to the libraries listed below
- Summer Institutes in Computational Social Science☆349Updated last week
- Supplementary Materials for ``Quantitative Social Science: An Introduction''☆257Updated last year
- Online materials for Social Data Science☆48Updated 2 months ago
- A first-year master's student creates this page and provides code for end-of-chapter exercises. The textbook is "Quantitative Social Scie…☆23Updated last month
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆213Updated last year
- ☆110Updated 4 months ago
- ☆123Updated 2 weeks ago
- Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.☆275Updated last year
- This is a folder for my Computational Sociology Course☆70Updated 9 years ago
- This is the repository for the slides used in the Seattle University Econometrics course☆150Updated last year
- Course handout web page for LSE MY472, Data for Data Scientists☆57Updated 3 months ago
- Repo for Georgetown McCourt's School of Public Policy's Data Science I (PPOL 564)☆10Updated 2 years ago
- Materials for PhD course on text data in economics☆90Updated last year
- Materials associated with the Coding Demonstrations training series☆40Updated last year
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆140Updated 2 years ago
- This 10-week training program is designed to prepare incoming pre-doctoral research fellows at the Princeton Empirical Studies of Conflic…☆116Updated 3 years ago
- Machine Learning for Social Science☆83Updated 3 years ago
- D-Lab's 9 hour introduction to performing data analysis with Stata. Learn how to program, conduct data analysis, create visualization, an…☆91Updated 2 years ago
- Conjoint Survey Design Tool - A Python tool for designing and exporting conjoint survey experiments.☆90Updated last year
- Data, Code and other material for CodeChella concert☆165Updated 3 years ago
- A list of awesome resources for Computational Social Science☆676Updated last month
- Webpage materials for AAPA network workshop☆84Updated 5 years ago
- Robust inference in difference-in-differences and event study designs☆205Updated 2 months ago
- Perspectives on Computational Analysis (MACS 30000), Autumn 2018☆32Updated 6 years ago
- Repository for paper "Embedding Regression: Models for Context-Specific Description and Inference"☆90Updated 2 years ago
- Materials and information relating to the New Forms of Data training series☆32Updated 4 years ago
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆333Updated last month
- An R package for estimating and doing statistical inference on context-specific word embeddings.☆105Updated 8 months ago
- Github Repository for PLSC 30600 - Causal Inference☆34Updated 2 months ago
- learnr tutorial package for Quantitative Social Science☆104Updated 2 years ago