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    116 repositories

    • 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
      •1•2•0•0•Updated Nov 27, 2024Nov 27, 2024

    • DSSJ-2025

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Nov 26, 2024Nov 26, 2024

    • R-Census-Data

      Public
      Jupyter Notebook
      •0•3•0•0•Updated Nov 19, 2024Nov 19, 2024

    • Copilot-Fundamentals

      Public
      D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot
      3•5•1•0•Updated Nov 19, 2024Nov 19, 2024

    • 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.
      2•4•3•0•Updated Nov 18, 2024Nov 18, 2024

    • Command-Line-Fundamentals

      Public
      0•0•0•0•Updated Nov 6, 2024Nov 6, 2024

    • LLMs-Exploratory-Research

      Public
      D-Lab's 1-hour introduction to using LLMs for exploratory research.
      0•4•0•0•Updated Nov 5, 2024Nov 5, 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

    • 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
      •9•34•16•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
      •5•2•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
      •6•4•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•3•0•0•Updated Oct 21, 2024Oct 21, 2024

    • 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 Oct 9, 2024Oct 9, 2024

    • 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
      •21•36•1•1•Updated Oct 2, 2024Oct 2, 2024

    • 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
      •0•0•0•0•Updated Oct 1, 2024Oct 1, 2024

    • 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
      •12•11•2•0•Updated Oct 1, 2024Oct 1, 2024

    • 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
      •68•80•24•3•Updated Oct 1, 2024Oct 1, 2024

    • 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
      •5•0•0•0•Updated Sep 26, 2024Sep 26, 2024

    • 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
      •97•223•5•1•Updated Sep 26, 2024Sep 26, 2024

    • R-Haas-Workshop

      Public
      D-Lab's 1.5 hour foray into R basics for the Haas MBA 200 course.
      rdata-framesdata-science
      Jupyter Notebook
      •2•0•0•0•Updated Sep 13, 2024Sep 13, 2024

    • Python-Data-Visualization

      Public
      D-Lab's 4-hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.
      Jupyter Notebook
      •3•4•7•1•Updated Aug 29, 2024Aug 29, 2024

    • Python-Text-Analysis

      Public
      D-Lab's introduction to text analysis with 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
      •1•2•0•0•Updated Aug 29, 2024Aug 29, 2024

    • dlab-workshops

      Public
      Overview of D-Lab workshops and the order in which to take them.
      HTML
      •1•0•0•0•Updated Aug 13, 2024Aug 13, 2024

    • Instructor-Training

      Public
      D-Lab's 2-part, 3.5 hour introduction to workshop instruction.
      Jupyter Notebook
      •0•0•2•0•Updated Jul 25, 2024Jul 25, 2024

    • Data-Science-Social-Justice

      Public
      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.
      Jupyter Notebook
      •7•12•13•0•Updated Jul 8, 2024Jul 8, 2024

    • dlab-modules

      Public
      Listing for D-Lab courses
      HTML
      •1•0•1•0•Updated Jul 4, 2024Jul 4, 2024

    • DIGHUM101-2024

      Public
      Python Programming for Digital Humanities, UC Berkeley Summer 2024, taught by Prashant Sharma
      Jupyter Notebook
      •1•1•0•0•Updated Jun 17, 2024Jun 17, 2024

    • python-berkeley

      Public
      python resources of berkeley curated at a place
      Jupyter Notebook
      •
      Other
      •49•47•1•3•Updated May 30, 2024May 30, 2024

    • DH-Text-Analysis

      Public
      D-Lab's introduction to text analysis for Digital Humanities.
      Jupyter Notebook
      •0•1•0•0•Updated Apr 25, 2024Apr 25, 2024

    • 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•0•0•0•Updated Apr 23, 2024Apr 23, 2024