Skip to content
@dlab-berkeley

D-Lab

The social science data lab at UC Berkeley

Pinned Loading

  1. 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 49 26

  2. 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 38 17

  3. Bash-Git Public

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

    134 86

  4. Qualtrics-Fundamentals-Legacy Public

    D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.

    14 5

  5. 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 91 43

  6. 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…

    14 8

Repositories

Showing 10 of 126 repositories
  • Python-NLP-Fundamentals Public

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

    Jupyter Notebook 4 CC-BY-4.0 21 1 2 Updated May 8, 2025
  • Git-Playground Public

    This repository is for D-Lab workshops that require practicing with Git.

    1 54 0 13 Updated May 8, 2025
  • Git-Fundamentals Public

    This introductory workshop covers basics of Git using command line(Bash). We will cover key concepts and workflows, including version control, repository creation, branching, merging, and collaboration.

    3 1 0 0 Updated May 7, 2025
  • DIGHUM101-2025 Public

    Python Programming for Digital Humanities, UC Berkeley Summer 2024, taught by Merve Tekgurler

    0 0 0 0 Updated May 7, 2025
  • Python-Text-Analysis-Legacy-2 Public
    Jupyter Notebook 0 CC-BY-4.0 0 0 0 Updated May 6, 2025
  • Demystifying_AI Public
    1 0 0 0 Updated May 5, 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.

    Jupyter Notebook 244 101 3 0 Updated May 1, 2025
  • MAXQDA-Fundamentals Public

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

    3 1 2 0 Updated Apr 8, 2025
  • Python-SQL-Fundamentals Public

    This workshop introduces the fundamentals of SQL, with a focus on using SQLite (the most ubiquitous database on the planet) for data science tasks.

    Jupyter Notebook 2 0 0 0 Updated Apr 3, 2025
  • R-SQL-Fundamentals Public

    D-Lab's 2-hour introduction to usingSQL in R. Learn how to query and retrieve data from relational databases in R.

    1 0 0 0 Updated Mar 31, 2025
View all repositories