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    • dlab-workshops

      Public
      Overview of D-Lab workshops and the order in which to take them.
      HTML
      •1•0•0•0•Updated Aug 21, 2025Aug 21, 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
      •1•2•0•0•Updated Aug 19, 2025Aug 19, 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 15, 2025Aug 15, 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
      •0•0•0•0•Updated Aug 15, 2025Aug 15, 2025

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

      Public
      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.
      4•5•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•40•2•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
      •1•4•6•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
      •2•6•1•0•Updated Aug 2, 2025Aug 2, 2025

    • R-Census-Data

      Public
      Jupyter Notebook
      •0•5•0•0•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
      0•0•0•0•Updated Aug 2, 2025Aug 2, 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
      •55•14•8•2•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•5•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
      •45•7•1•3•Updated Aug 2, 2025Aug 2, 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
      •69•83•25•4•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
      •9•4•1•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•3•0•0•Updated Aug 2, 2025Aug 2, 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
      •28•53•3•1•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
      •2•3•0•0•Updated Aug 2, 2025Aug 2, 2025

    • Python-Data-Wrangling

      Public
      D-Lab's 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas functions.
      Jupyter Notebook
      •
      Other
      •18•18•3•0•Updated Aug 2, 2025Aug 2, 2025

    • prompt-engineering

      Public
      D-Lab's 1-hour introduction to prompt engineering with ChatGPT. Learn what prompt engineering is, best practices for prompting, and techniques to resolve errors.
      Jupyter Notebook
      •1•1•0•0•Updated Aug 2, 2025Aug 2, 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•5•2•0•Updated Aug 2, 2025Aug 2, 2025

    • LLMs-Exploratory-Research

      Public
      D-Lab's 2-hour introduction to using LLMs for exploratory research.
      1•7•0•0•Updated Aug 2, 2025Aug 2, 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 Aug 2, 2025Aug 2, 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 Aug 2, 2025Aug 2, 2025

    • Excel-Fundamentals

      Public
      D-Lab's six-hour introduction to the basics of Microsoft Excel (with support materials for Google Sheets). Learn Excel functions for handling text, math, dates, logic, and calculations; learn to create charts and pivot tables.
      Creative Commons Zero v1.0 Universal
      •7•17•2•0•Updated Aug 2, 2025Aug 2, 2025

    • Demystifying_AI

      Public
      0•4•0•0•Updated Aug 2, 2025Aug 2, 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 Aug 2, 2025Aug 2, 2025