D-Lab

The social science data lab at UC Berkeley

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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 78 31
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 17
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
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
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
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

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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 28, 2026
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 78 31 0 0 Updated Aug 24, 2026
Agentic-AI-Research-Workflows Public
D-Lab's two-hour workshop on using agentic AI for research workflows. Learn how to use a coding agent (Codex) to fetch data, explore it, build a predictive model, and turn conversations into reproducible workflows.

dlab-berkeley/Agentic-AI-Research-Workflows's past year of commit activity

HTML 0 0 0 0 Updated Aug 17, 2026
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
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