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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 3-part, 6 hour introduction to Python. Learn how to create variables, distinguish data types, use methods, and work with Pandas, using Python and Jupyter.

    Jupyter Notebook 22 13

  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 25 4

  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 81

  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 80 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 108 repositories
  • 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 10 7 11 0 Updated Jun 27, 2024
  • DIGHUM101-2024 Public

    Python Programming for Digital Humanities, UC Berkeley Summer Session 2024

    dlab-berkeley/DIGHUM101-2024’s past year of commit activity
    Jupyter Notebook 1 1 0 0 Updated Jun 17, 2024
  • python-berkeley Public

    python resources of berkeley curated at a place

    dlab-berkeley/python-berkeley’s past year of commit activity
    Jupyter Notebook 46 49 1 3 Updated May 30, 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
    2 0 2 0 Updated May 21, 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 25 4 12 0 Updated Apr 29, 2024
  • DH-Text-Analysis Public

    D-Lab's introduction to text analysis for Digital Humanities.

    dlab-berkeley/DH-Text-Analysis’s past year of commit activity
    Jupyter Notebook 1 0 0 0 Updated Apr 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 184 81 5 0 Updated Apr 25, 2024
  • GPT-Fundamentals Public

    D-Lab's 2-hour introduction to Generative Pretrained Transformers (GPT) for beginners. Learn about text encoding, word embeddings, and the transformer architecture upon which GPT is based. Create texts using a GPT model with the Transformers library in Python, and learn about hyperparameters such as temperature.

    dlab-berkeley/GPT-Fundamentals’s past year of commit activity
    Jupyter Notebook 0 1 0 0 Updated Apr 24, 2024
  • 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
    Jupyter Notebook 0 1 0 0 Updated Apr 23, 2024
  • R-Data-Visualization Public

    D-Lab's 2-hour introduction to data visualization with R. Learn how to create histograms, bar charts, box plots, scatter plots, and more using ggplot2.

    dlab-berkeley/R-Data-Visualization’s past year of commit activity
    R 1 1 1 0 Updated Apr 9, 2024
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