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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 26 18

  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 28 7

  3. Bash-Git Bash-Git Public

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

    132 83

  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 3

  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 81 42

  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 7

Repositories

Showing 10 of 110 repositories
  • Python-Data-Visualization Public

    D-Lab's 4-hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

    dlab-berkeley/Python-Data-Visualization’s past year of commit activity
    Jupyter Notebook 3 2 7 1 Updated Aug 29, 2024
  • R-Geospatial-Fundamentals Public

    D-Lab's 6-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
    3 1 2 0 Updated Aug 29, 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 26 18 0 1 Updated Aug 29, 2024
  • python-text-analysis Public

    D-Lab's introduction to text analysis with Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python.

    dlab-berkeley/python-text-analysis’s past year of commit activity
    Jupyter Notebook 2 CC-BY-4.0 0 0 0 Updated Aug 29, 2024
  • 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 9 11 2 0 Updated Aug 29, 2024
  • Copilot-Fundamentals Public

    D-Lab's 2 hour workshop on AI assisted coding in Visual Studio Code using GitHub Copilot

    dlab-berkeley/Copilot-Fundamentals’s past year of commit activity
    0 0 0 0 Updated Aug 22, 2024
  • 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 0 0 0 0 Updated Aug 13, 2024
  • Instructor-Training Public

    D-Lab's 2-part, 3.5 hour introduction to workshop instruction.

    dlab-berkeley/Instructor-Training’s past year of commit activity
    Jupyter Notebook 0 0 2 0 Updated Jul 25, 2024
  • 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 206 86 5 0 Updated Jul 19, 2024
  • Data-Science-Social-Justice Public

    Materials for D-Lab / UC Berkeley Graduate Division's Data Science for Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.

    dlab-berkeley/Data-Science-Social-Justice’s past year of commit activity
    Jupyter Notebook 11 7 13 0 Updated Jul 8, 2024
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