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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 33 20

  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 31 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 86 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 113 repositories
  • 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 31 9 16 0 Updated Oct 31, 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 Oct 28, 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
  • R-LLMs-Exploratory-Research Public

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

    dlab-berkeley/R-LLMs-Exploratory-Research’s past year of commit activity
    1 0 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
  • D-Lab-Workshop-Template Public template

    This repository serves as a template for all D-Lab workshops stored on GitHub. Use this template if you're creating a new D-Lab workshop.

    dlab-berkeley/D-Lab-Workshop-Template’s past year of commit activity
    Jupyter Notebook 3 1 0 0 Updated Oct 21, 2024
  • 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
    1 1 0 1 Updated Oct 16, 2024
  • MAXQDA-Fundamentals Public

    D-Lab's 2 hour introduction to MAXQDA. Learn how to conduct qualitative data analysis using MAXQDA.

    dlab-berkeley/MAXQDA-Fundamentals’s past year of commit activity
    2 1 2 0 Updated Oct 9, 2024
  • 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 33 20 1 1 Updated Oct 2, 2024
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