dlab-berkeley / awesome-dlab
π Awesome lists about all kinds of topics and tools interesting to D-Labbers
β18Updated 2 months ago
Alternatives and similar repositories for awesome-dlab:
Users that are interested in awesome-dlab are comparing it to the libraries listed below
- The joy and power of functional programming in Rβ28Updated 2 years ago
- Stanford's Math Camp for 2018β37Updated 6 years ago
- Text as Data 2019β58Updated 5 years ago
- Advanced-data-wrangling-in-R, Workshopβ15Updated 3 years ago
- Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)β47Updated 6 years ago
- Lecture notes for MY459 WT 2025β40Updated this week
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound fβ¦β28Updated last year
- D-Lab workshop on "Data Wrangling and Manipulation in R"β12Updated 8 years ago
- Course materials for "Research Design in Political Science"β21Updated 6 years ago
- PhD course: Quantitative Methods for Political Science III (NYU) -- Recitation Materialsβ53Updated 10 years ago
- Course Content for PSCI 3300 Political Science Research Methodsβ31Updated 2 years ago
- A first-year master's student creates this page and provides code for end-of-chapter exercises. The textbook is "Quantitative Social Scieβ¦β20Updated 3 years ago
- Workshop on fetching and mapping census data with tidycensusβ14Updated 2 years ago
- Machine Learning for Social Scienceβ83Updated 2 years ago
- β10Updated 2 years ago
- Repo for Spirling and Stewart's "What Good is a Regression?" Projectβ26Updated 7 months ago
- This is the course repository for the Spring 2020 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the Universiβ¦β20Updated 4 years ago
- An Example Conjoint Experimental Design in Qualtricsβ64Updated 6 years ago
- Repository with data (and some code) for replicating published work with cross-sectional OLS modelsβ25Updated 2 years ago
- An introductory statistics course for social scientists, using Stataβ50Updated last year
- D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tβ¦β46Updated last year
- SJMC Time Series Boot Camp - Materials by Josephine Lukito and Jordan Foleyβ41Updated 5 years ago
- Material for a 3 day workshop on computational text analysis for humanists and social scientistsβ33Updated 7 years ago
- β9Updated 5 years ago
- Data for Causal Inference: The Mixtape by Scott Cunninghamβ33Updated last year
- D-Lab R-intensive teaching materialsβ22Updated 7 years ago
- Computational Social Science Lab introducing basic concepts, research design, and tools for text analysis.β16Updated 5 months ago
- tidyverse code for QSSβ37Updated 4 years ago
- Class repository for GR5069 - Applied Data Science for Social Scientists (Spring 2023)β12Updated last year
- β28Updated 3 years ago