dlab-berkeley Goto Github PK
Name: D-Lab
Type: Organization
Bio: The social science data lab at UC Berkeley
Location: Social Sciences Building, Berkeley, CA
Blog: dlab.berkeley.edu
Name: D-Lab
Type: Organization
Bio: The social science data lab at UC Berkeley
Location: Social Sciences Building, Berkeley, CA
Blog: dlab.berkeley.edu
Advanced-data-wrangling-in-R, Workshop
😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers
D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.
Public repo to support BerkeleyX instructors and researchers
Example for using Congressional data in a Computational Text Analysis workflow from CTAWG
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.
3-day intensive created in 2015 for CTAWG by Nick Adams: https://github.com/dlabctawg/
Text Analysis Fundamentals: Methods and Approaches (In Three 2hr Session) for CTAWG in 2016 by Ben Gebre-Medhin
An introduction to Computational Text Analysis in four 2hr sessions designed to help beginners build intuition, and to interact with workflows for natural language processing, supervised, and unsupervised approaches. Created for CTAWG in 2017 by Ben Gebre-Medhin
This repository serves as a template for all D-Lab workshops stored on GitHub. Use this template if you're creating a new D-Lab workshop.
Materials for D-Lab / UC Berkeley Graduate Division's Data Science for Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.
Materials for D-Lab / UC Berkeley Graduate Division's Data Science + Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.
Data Security Fundamentals
D-Lab's introduction to text analysis for Digital Humanities.
Practicing the Digital Humanities, UC Berkeley Summer Session 2022
Practicing the Digital Humanities, UC Berkeley Summer Session 2023
Python Programming for Digital Humanities, UC Berkeley Summer Session 2024
Tech overview site showcasing D-Lab's online offerings
Listing for D-Lab courses
Overview of D-Lab workshops and the order in which to take them.
Efficient and Reproducible Project Management in R
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.