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@dlab-berkeley

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 73 28

  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 47 16

  3. Bash-Git Bash-Git Public archive

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

    136 85

  4. Qualtrics-Fundamentals-Legacy Qualtrics-Fundamentals-Legacy Public

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

    15 5

  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 97 45

  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…

    25 9

Repositories

Showing 10 of 145 repositories
  • dlab-workshops Public

    Overview of D-Lab workshops and the order in which to take them.

    dlab-berkeley/dlab-workshops’s past year of commit activity
    HTML 2 1 0 0 Updated Mar 13, 2026
  • 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.

    dlab-berkeley/Command-Line-Fundamentals’s past year of commit activity
    4 0 7 1 Updated Mar 13, 2026
  • 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.

    dlab-berkeley/Python-Fundamentals’s past year of commit activity
    Jupyter Notebook 73 28 0 0 Updated Mar 13, 2026
  • 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..

    dlab-berkeley/AI-Assisted-Coding-In-Python’s past year of commit activity
    Jupyter Notebook 5 5 0 0 Updated Mar 12, 2026
  • AI_Pulse Public
    dlab-berkeley/AI_Pulse’s past year of commit activity
    Jupyter Notebook 1 1 0 0 Updated Mar 11, 2026
  • models-galore Public
    dlab-berkeley/models-galore’s past year of commit activity
    Jupyter Notebook 2 0 0 0 Updated Feb 19, 2026
  • D-Lab-AI-Pulse--Claude-Code Public
    dlab-berkeley/D-Lab-AI-Pulse--Claude-Code’s past year of commit activity
    1 0 0 0 Updated Feb 11, 2026
  • Goldman-Hands-on-AI Public
    dlab-berkeley/Goldman-Hands-on-AI’s past year of commit activity
    JavaScript 0 1 0 0 Updated Feb 7, 2026
  • 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.

    dlab-berkeley/Python-APIs-for-Large-Language-Models’s past year of commit activity
    Jupyter Notebook 8 5 0 1 Updated Feb 5, 2026
  • tableau-fundamentals Public
    dlab-berkeley/tableau-fundamentals’s past year of commit activity
    0 1 0 0 Updated Feb 4, 2026
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