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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 61 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 44 15

  3. Bash-Git Bash-Git Public

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

    135 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 93 43

  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…

    22 7

Repositories

Showing 10 of 141 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 1 1 0 0 Updated Dec 27, 2025
  • Vibe-Coding-for-Research Public

    D-Lab's 2 hour introduction to Vibe Coding for Research. Learn how to make use of modern AI tools to enhance productivity in a rigorous manner appropriate for Academic Research

    dlab-berkeley/Vibe-Coding-for-Research’s past year of commit activity
    0 0 0 0 Updated Dec 21, 2025
  • Goldman-Hands-on-AI Public
    dlab-berkeley/Goldman-Hands-on-AI’s past year of commit activity
    0 0 0 0 Updated Dec 21, 2025
  • Goldman-Demystifying-AI Public

    In this workshop for GSPP students, we provide a basic and relatively non-technical introduction to the foundational concepts underlying contemporary AI tools.

    dlab-berkeley/Goldman-Demystifying-AI’s past year of commit activity
    0 0 0 0 Updated Dec 21, 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.

    dlab-berkeley/Python-Data-Wrangling’s past year of commit activity
    Jupyter Notebook 21 19 2 0 Updated Dec 19, 2025
  • R-Data-Wrangling Public

    D-Lab's 4 hour two-part workshop on data wrangling in R using tidyverse.

    dlab-berkeley/R-Data-Wrangling’s past year of commit activity
    R 5 2 10 2 Updated Dec 19, 2025
  • 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.

    dlab-berkeley/Getting-Started-With-AI’s past year of commit activity
    1 0 0 0 Updated Dec 15, 2025
  • D-Lab-Setup-Sessions-R-AI-Tools Public

    D-Lab's 2-hour session to help participants get their R computing environment set up and introduce them to modern AI-assisted coding tools.

    dlab-berkeley/D-Lab-Setup-Sessions-R-AI-Tools’s past year of commit activity
    0 0 0 0 Updated Dec 11, 2025
  • D-Lab-Setup-Sessions-Python-AI-Tools Public

    D-Lab's 2-hour session to help participants get their computing environment set up and introduce them to modern AI-assisted coding tools.

    dlab-berkeley/D-Lab-Setup-Sessions-Python-AI-Tools’s past year of commit activity
    0 1 0 0 Updated Dec 11, 2025
  • 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.

    dlab-berkeley/Computational-Social-Science-Training-Program’s past year of commit activity
    Jupyter Notebook 281 112 3 0 Updated Dec 4, 2025
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