Skip to content
@dlab-berkeley

D-Lab

The social science data lab at UC Berkeley

Pinned Loading

  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 77 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 49 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.

    139 84

  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 100 46

  6. Excel-Fundamentals-Legacy Excel-Fundamentals-Legacy 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…

    26 11

Repositories

Showing 10 of 149 repositories
  • 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
  • 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 Aug 11, 2026
  • Excel-Visualization Public

    This workshop teaches participants how to create clear, effective, and accessible visualizations in Excel by starting with an analytical question, preparing chart-ready data, and choosing the right chart type. Participants will also build Pivot Tables and Pivot Charts while learning how to use AI as a reviewer for visualization decisions.

    dlab-berkeley/Excel-Visualization's past year of commit activity
    0 0 0 0 Updated Aug 11, 2026
  • 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 Aug 11, 2026
  • DIGHUM101-2026 Public

    Python Programming for Digital Humanities, UC Berkeley Summer 2026, taught by Matthew Kollmer

    dlab-berkeley/DIGHUM101-2026's past year of commit activity
    Jupyter Notebook 2 1 0 0 Updated Jun 24, 2026
  • 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.

    dlab-berkeley/prompt-engineering's past year of commit activity
    4 1 2 0 Updated Jun 2, 2026
  • R-Push-Ins Public

    D-Lab's 4.5 hour "push-in" introduction to R, providing a brief survey of foundational R concepts and operations.

    dlab-berkeley/R-Push-Ins's past year of commit activity
    R 1 1 2 1 Updated Jun 2, 2026
  • 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.

    dlab-berkeley/R-Machine-Learning's past year of commit activity
    HTML 4 2 0 0 Updated Jun 2, 2026
  • 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
    R 9 5 3 0 Updated Jun 2, 2026
  • 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 49 16 7 0 Updated Jun 2, 2026
View all repositories

Top languages

Loading…

Most used topics

Loading…