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    126 repositories

    • DIGHUM101-2025

      Public
      Python Programming for Digital Humanities, UC Berkeley Summer 2025, taught by Merve Tekgurler
      Jupyter Notebook
      •6•5•0•0•Updated Jun 9, 2025Jun 9, 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
      •17•38•1•0•Updated May 29, 2025May 29, 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
      •22•4•1•2•Updated May 8, 2025May 8, 2025

    • Git-Playground

      Public
      This repository is for D-Lab workshops that require practicing with Git.
      56•1•0•13•Updated May 8, 2025May 8, 2025

    • Git-Fundamentals

      Public
      This introductory workshop covers basics of Git using command line(Bash). We will cover key concepts and workflows, including version control, repository creation, branching, merging, and collaboration.
      1•3•0•0•Updated May 7, 2025May 7, 2025

    • Python-Text-Analysis-Legacy-2

      Public
      Jupyter Notebook
      •
      Creative Commons Attribution 4.0 International
      •0•0•0•0•Updated May 6, 2025May 6, 2025

    • Demystifying_AI

      Public
      0•1•0•0•Updated May 5, 2025May 5, 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
      •101•248•3•0•Updated May 1, 2025May 1, 2025

    • MAXQDA-Fundamentals

      Public
      D-Lab's 2 hour introduction to MAXQDA. Learn how to conduct qualitative data analysis using MAXQDA.
      qttmaxqdaqualitative-data-analysis
      Other
      •1•3•2•0•Updated Apr 8, 2025Apr 8, 2025

    • Python-SQL-Fundamentals

      Public
      This workshop introduces the fundamentals of SQL, with a focus on using SQLite (the most ubiquitous database on the planet) for data science tasks.
      Jupyter Notebook
      •0•2•0•0•Updated Apr 3, 2025Apr 3, 2025

    • R-SQL-Fundamentals

      Public
      D-Lab's 2-hour introduction to usingSQL in R. Learn how to query and retrieve data from relational databases in R.
      0•1•0•0•Updated Mar 31, 2025Mar 31, 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
      0•0•0•0•Updated Mar 25, 2025Mar 25, 2025

    • LLMs-Exploratory-Research

      Public
      D-Lab's 2-hour introduction to using LLMs for exploratory research.
      1•6•0•0•Updated Mar 20, 2025Mar 20, 2025

    • GitHub-Fundamentals

      Public
      D-Lab's 2 hour introduction to using the version control software Git with GitHub Desktop, a GUI Git client. Learn how to use version control, create repositories, branching, merging, and using GitHub Desktop to collaborate on software in your research workflows.
      1•2•0•0•Updated Mar 11, 2025Mar 11, 2025

    • R-Census-Data

      Public
      Jupyter Notebook
      •0•4•0•0•Updated Mar 5, 2025Mar 5, 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
      •2•2•0•0•Updated Mar 3, 2025Mar 3, 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.
      clusteringscikit-learnregressionclassificationauto-mlpythonmachine-learning
      Jupyter Notebook
      •
      Other
      •71•82•25•4•Updated Mar 1, 2025Mar 1, 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•5•3•0•Updated Feb 25, 2025Feb 25, 2025

    • Data_4AC

      Public
      Introductory Workshop on Jupyter for the Data 4AC: Data and Justice Class
      Jupyter Notebook
      •0•0•0•0•Updated Feb 14, 2025Feb 14, 2025

    • Command-Line-Fundamentals

      Public
      D-Lab's 1-hour introduction to the command line. This workshop provides a basic introduction to interacting with your computer via terminal. It focuses on Bash or Z, which are some of the most commonly used Unix/Linux shells.
      0•2•1•0•Updated Feb 11, 2025Feb 11, 2025

    • R-Copilot-Assisted-Coding-Workshop

      Public
      D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot
      5•8•1•0•Updated Feb 4, 2025Feb 4, 2025

    • DSSJ-2025

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Dec 13, 2024Dec 13, 2024

    • dlab-workshops

      Public
      Overview of D-Lab workshops and the order in which to take them.
      HTML
      •1•0•0•0•Updated Dec 11, 2024Dec 11, 2024

    • Cloud-SQL-Databases

      Public
      This is a hands-on workshop on analyzing Social Media Data using Cloud Databases, specifically Google Cloud Platform's BigQuery
      Jupyter Notebook
      •0•1•0•0•Updated Dec 11, 2024Dec 11, 2024

    • awesome-dlab

      Public
      😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers
      listsawesomeresourcesawesome-listsocial-sciencesucberkeley
      3•17•0•0•Updated Nov 28, 2024Nov 28, 2024

    • R-Machine-Learning

      Public
      D-Lab's 4-hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
      HTML
      •2•2•0•0•Updated Nov 27, 2024Nov 27, 2024

    • R-Causal-Inference

      Public
      D-Lab's 2-hour introduction to causal inference. Learn about core concepts in causal inference, including the potential outcomes framework and essential statistical techniques.
      0•0•0•0•Updated Oct 31, 2024Oct 31, 2024

    • 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
      •6•3•0•0•Updated Oct 28, 2024Oct 28, 2024

    • 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
      •7•5•3•0•Updated Oct 23, 2024Oct 23, 2024

    • 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 Oct 21, 2024Oct 21, 2024