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…
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…
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 reprod…
D-Lab's two-hour workshop on using agentic AI for knowledge work. Learn how to connect Codex to your email, calendar, and documents, and use agents to read and send emails, create spreadsheets, cre…
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 wil…
An introduction to careers and roles available with a data science and statistics degree as well as pursuing opportunities during your undergraduate degree
dlab-berkeley/Data-Science-Statistics-Careers's past year of commit activity
D-Lab's two-hour workshop on using agentic AI for knowledge work. Learn how to connect Codex to your email, calendar, and documents, and use agents to read and send emails, create spreadsheets, create surveys, and more.
dlab-berkeley/Agentic-AI-Knowledge-Work's past year of commit activity
D-Lab's 1 hour workshop on how AI can support literature discovery, screening, and early synthesis while keeping scholarly control and judgement in the loop
dlab-berkeley/AI-Workflows-Literature-Review's past year of commit activity
D-Lab's 2-hour introduction to using APIs to access Large Language Models. Learn API setup & authentication, API call formatting, creating structured outputs, and more.
dlab-berkeley/Python-APIs-for-Large-Language-Models's past year of commit activity
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