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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 80 31

  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 51 17

  3. Getting-Started-With-AI Getting-Started-With-AI Public

    D-Lab's 1 hour introduction to AI tools for beginners. An overview of the AI tool landscape and a quickstart guide to start using them.

    4 1

  4. Agentic-AI-Research-Workflows Agentic-AI-Research-Workflows Public

    D-Lab's two-hour workshop on using agentic AI for research workflows. Learn how to use a coding agent (Codex) to fetch data, explore it, build a predictive model, and turn conversations into reprod…

    HTML

  5. Qualtrics-Fundamentals Qualtrics-Fundamentals Public

    D-Lab's two-part introduction to Qualtrics. Learn how to design and manage your own surveys in Qualtrics.

    2

  6. Excel-Fundamentals Excel-Fundamentals Public

    This workshop introduces core Excel skills for working with data, including navigating workbooks, entering and formatting data, using shortcuts, and identifying common data issues. Participants wil…

Repositories

Showing 10 of 152 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 Sep 12, 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 6 2 1 Updated Sep 11, 2026
  • Agentic-AI-Knowledge-Work Public

    D-Lab's two-hour workshop on using agentic AI for knowledge work. Learn how to connect Codex to your email, calendar, and documents, and use agents to read and send emails, create spreadsheets, create surveys, and more.

    dlab-berkeley/Agentic-AI-Knowledge-Work's past year of commit activity
    HTML 0 0 0 0 Updated Sep 10, 2026
  • Excel-Fundamentals Public

    This workshop introduces core Excel skills for working with data, including navigating workbooks, entering and formatting data, using shortcuts, and identifying common data issues. Participants will also practice basic formulas, sorting, filtering, pivot tables, and creating simple charts from clean data.

    dlab-berkeley/Excel-Fundamentals's past year of commit activity
    0 0 0 0 Updated Sep 9, 2026
  • AI_Pulse Public
    dlab-berkeley/AI_Pulse's past year of commit activity
    TeX 7 1 0 0 Updated Sep 1, 2026
  • dlab-berkeley/tableau-fundamentals's past year of commit activity
    1 1 0 0 Updated Sep 1, 2026
  • dlab-berkeley/AI-Workflows-Literature-Review's past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Aug 31, 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 80 31 0 0 Updated Aug 24, 2026
  • Agentic-AI-Research-Workflows Public

    D-Lab's two-hour workshop on using agentic AI for research workflows. Learn how to use a coding agent (Codex) to fetch data, explore it, build a predictive model, and turn conversations into reproducible workflows.

    dlab-berkeley/Agentic-AI-Research-Workflows's past year of commit activity
    HTML 0 0 0 0 Updated Aug 17, 2026
  • Excel-Logic-Formulas-Workflows Public

    This workshop focuses on using Excel formulas and functions to build clear, scalable analytical workflows. Participants will learn how Excel evaluates calculations, apply math, text, logic, lookup, and aggregation functions, and use audit tools and AI assistance critically to verify their work.

    dlab-berkeley/Excel-Logic-Formulas-Workflows's past year of commit activity
    0 0 0 0 Updated Aug 11, 2026