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    134 repositories

    • dlab-workshops

      Public
      Overview of D-Lab workshops and the order in which to take them.
      HTML
      •1•0•0•0•Updated Nov 13, 2025Nov 13, 2025

    • Python-Fundamentals

      Public
      D-Lab's 6-part, 12-hour introduction to Python. Learn how to create variables, use methods and functions, work with if-statements and for-loops, and do data analysis with Pandas, using Python and Jupyter.
      Jupyter Notebook
      •
      Other
      •27•59•4•1•Updated Nov 13, 2025Nov 13, 2025

    • COMPSS-211

      Public
      Course materials for COMPSS211 at the UC Berkeley Master of Computational Social Science
      Jupyter Notebook
      •6•2•0•0•Updated Nov 11, 2025Nov 11, 2025

    • AI-Assisted-Coding-In-R

      Public
      D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot and R.
      9•13•2•1•Updated Nov 6, 2025Nov 6, 2025

    • AI-Assisted-Coding-In-Python

      Public
      D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot and Python..
      Jupyter Notebook
      •1•4•0•0•Updated Nov 6, 2025Nov 6, 2025

    • R-CPH-Workshop

      Public
      D-Lab's 1.5 hour foray into R basics for CPH.
      0•0•0•0•Updated Oct 29, 2025Oct 29, 2025

    • Getting_Started_with_AI

      Public
      D-Lab's 1 hour introduction to AI tools for beginners. An overview of the AI tool landscape and a quickstart guide to start using them.
      0•0•0•0•Updated Oct 27, 2025Oct 27, 2025

    • tableau-fundamentals

      Public
      0•0•0•0•Updated Oct 24, 2025Oct 24, 2025

    • Python-Web-Scraping

      Public
      D-Lab's 2 hour introduction to web scraping in Python. Learn how to scrape HTML/CSS data from websites using Requests and Beautiful Soup.
      Jupyter Notebook
      •
      Creative Commons Attribution 4.0 International
      •74•16•8•9•Updated Oct 21, 2025Oct 21, 2025

    • Python-Machine-Learning

      Public
      D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
      pythonmachine-learningclusteringscikit-learnregressionclassificationauto-ml
      Jupyter Notebook
      •
      Other
      •70•87•5•2•Updated Oct 15, 2025Oct 15, 2025

    • Python-APIs-for-Large-Language-Models

      Public
      D-Lab's 2-hour introduction to using APIs to access Large Language Models. Learn API setup & authentication, API call formatting, creating structured outputs, and more.
      Jupyter Notebook
      •4•6•0•1•Updated Oct 9, 2025Oct 9, 2025

    • LLMs-Exploratory-Research

      Public
      D-Lab's 2-hour introduction to using LLMs for exploratory research.
      2•8•1•0•Updated Sep 30, 2025Sep 30, 2025

    • Git-Playground

      Public
      Practicing with Git.
      90•3•0•19•Updated Sep 22, 2025Sep 22, 2025

    • Computational-Social-Science-Training-Program

      Public
      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
      •111•278•3•0•Updated Sep 9, 2025Sep 9, 2025

    • Python-SQL-Fundamentals

      Public
      D-Lab's 2-hour introductory SQL workshop in Python. Navigate the structure of a relational database and become familiar with relational database concepts.
      Jupyter Notebook
      •1•2•0•0•Updated Aug 25, 2025Aug 25, 2025

    • Python-SQL-Intermediate

      Public
      D-Lab's 2-hour intermediate SQL workshop in Python. Learn using different types of JOINs, primary and foreign keys, subqueries, and more.
      Jupyter Notebook
      •0•0•0•0•Updated Aug 22, 2025Aug 22, 2025

    • compss211-hw2-git-troubleshooting-lab-git-disaster-repo

      Public archive
      compss211-hw2-git-troubleshooting-lab-git-disaster-repo created by GitHub Classroom
      Python
      •0•0•0•0•Updated Aug 9, 2025Aug 9, 2025

    • Instructor-Training

      Public
      D-Lab's 2-part, 3.5 hour introduction to workshop instruction.
      0•0•2•0•Updated Aug 7, 2025Aug 7, 2025

    • R-Geospatial-Fundamentals

      Public
      D-Lab's 4-hour introduction to working with geospatial data in R. Learn how to import, visualize, and analyze geospatial data in R.
      5•8•3•0•Updated Aug 5, 2025Aug 5, 2025

    • D-Lab-Workshop-Template

      Public template
      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.
      Jupyter Notebook
      •1•4•0•0•Updated Aug 2, 2025Aug 2, 2025

    • R-Fundamentals

      Public
      D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
      R
      •15•44•5•0•Updated Aug 2, 2025Aug 2, 2025

    • R-Data-Wrangling

      Public
      D-Lab's 4 hour two-part workshop on data wrangling in R using tidyverse.
      R
      •2•5•10•2•Updated Aug 2, 2025Aug 2, 2025

    • R-Data-Visualization

      Public
      D-Lab's 2-hour introduction to data visualization with R. Learn how to create histograms, bar charts, box plots, scatter plots, and more using ggplot2.
      R
      •3•7•2•1•Updated Aug 2, 2025Aug 2, 2025

    • R-Census-Data

      Public
      Jupyter Notebook
      •1•7•7•1•Updated Aug 2, 2025Aug 2, 2025

    • Qualtrics-Fundamentals

      Public
      D-Lab's two-part introduction to Qualtrics. Learn how to design and manage your own surveys in Qualtrics.
      data-sciencesurveyqualtrics
      1•0•0•0•Updated Aug 2, 2025Aug 2, 2025

    • Python-Web-APIs

      Public
      D-Lab's 2 hour introduction to using web APIs in Python. Learn how to obtain data from web platforms using the New York Times API as a case study.
      Jupyter Notebook
      •
      Creative Commons Attribution 4.0 International
      •6•6•3•0•Updated Aug 2, 2025Aug 2, 2025

    • Python-NLP-Fundamentals

      Public
      D-Lab's introduction to NLP in Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python.
      Jupyter Notebook
      •
      Creative Commons Attribution 4.0 International
      •62•9•1•5•Updated Aug 2, 2025Aug 2, 2025

    • Python-GPT-Fundamentals

      Public
      D-Lab's 2-hour introduction to Generative Pretrained Transformers (GPT) for beginners. Learn about text encoding, word embeddings, and the transformer architecture upon which GPT is based. Create texts using a GPT model with the Transformers library in Python, and learn about hyperparameters such as temperature.
      Jupyter Notebook
      •11•6•2•0•Updated Aug 2, 2025Aug 2, 2025

    • Python-Geospatial-Fundamentals

      Public
      About D-Lab's 4-hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data in Python.
      Jupyter Notebook
      •4•4•0•0•Updated Aug 2, 2025Aug 2, 2025

    • Python-Deep-Learning

      Public
      D-Lab's 2-hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.
      Jupyter Notebook
      •3•4•0•0•Updated Aug 2, 2025Aug 2, 2025