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D-Lab

The social science data lab at UC Berkeley

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  1. Python-Fundamentals 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 J…

    Jupyter Notebook 34 21

  2. R-Fundamentals 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 RS…

    R 33 9

  3. Bash-Git Bash-Git Public

    D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.

    133 85

  4. Qualtrics-Fundamentals Qualtrics-Fundamentals Public

    D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.

    13 4

  5. Stata-Fundamentals Stata-Fundamentals Public

    D-Lab's 9 hour introduction to performing data analysis with Stata. Learn how to program, conduct data analysis, create visualization, and conduct statistical analyses in Stata.

    Stata 88 44

  6. Excel-Fundamentals 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 cr…

    9 8

Repositories

Showing 10 of 116 repositories
  • DSSJ-2025 Public
    dlab-berkeley/DSSJ-2025’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Nov 19, 2024
  • R-Census-Data Public
    dlab-berkeley/R-Census-Data’s past year of commit activity
    Jupyter Notebook 2 0 0 0 Updated Nov 19, 2024
  • Copilot-Fundamentals Public

    D-Lab's 2-hour workshop on AI-assisted coding in Visual Studio Code using GitHub Copilot

    dlab-berkeley/Copilot-Fundamentals’s past year of commit activity
    5 3 1 0 Updated Nov 18, 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.

    dlab-berkeley/R-Geospatial-Fundamentals’s past year of commit activity
    4 2 3 0 Updated Nov 18, 2024
  • Command-Line-Fundamentals Public
    dlab-berkeley/Command-Line-Fundamentals’s past year of commit activity
    0 0 0 0 Updated Nov 6, 2024
  • LLMs-Exploratory-Research Public

    D-Lab's 1-hour introduction to using LLMs for exploratory research.

    dlab-berkeley/LLMs-Exploratory-Research’s past year of commit activity
    1 0 0 0 Updated Nov 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.

    dlab-berkeley/R-Causal-Inference’s past year of commit activity
    0 0 0 0 Updated Oct 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.

    dlab-berkeley/R-Fundamentals’s past year of commit activity
    R 33 9 16 0 Updated Oct 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.

    dlab-berkeley/Python-Geospatial-Fundamentals’s past year of commit activity
    Jupyter Notebook 2 5 0 0 Updated Oct 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.

    dlab-berkeley/Python-Web-APIs’s past year of commit activity
    Jupyter Notebook 4 CC-BY-4.0 6 3 0 Updated Oct 23, 2024
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