UCSF Guides: Archives as Data: Methods and Tools for Working with Archives as Data

Programming Foundations for Data Science

These selected services offer training opportunities, both synchronous workshops as well as asynchronous resources for self-study:

UCSF Data Science Initiative (DSI)
- Data Science Education and Training Portal - includes links to CLE with recordings and resources from DSI workshops
- DSI Programming Workshops on the UCSF Library Events and Classes Calendar - includes series to support skill acquisition and application in both Python and R programming languages as well as training in working with Unix, SQL, Git, and APIs
UCSF Digital Health Humanities (DHH)
- DHH Workshops on the UCSF Library Events and Classes Calendar
- DHH Recordings and Resources on the UCSF CLE
UC Berkeley D-Lab Workshops - training for research in data intensive social science, considered expansively and cross-disciplinarily (registration available for UCSF affiliates through a partnership with UCSF Bakar Institute)
Data Carpentry - registration for workshops and links to lessons on fundamental data skills needed to support the full lifecycle of data-driven research, including many domain-specific training options

Digital Health Humanities Learning Paths
A diagram depicting common Digital Health Humanities (DHH) research activities and related tools for data sourcing, acquisition, preparation, and analysis along with both entry-level options as well as learning paths to gain familiarity and practice with programming languages, libraries, and other utilities. This diagram also serves as an overview of how and where to find learning resources from the UCSF DHH pilot program to support digital health humanities research.

These selected sites include tutorials for a range of methods/tools:

Programming Historian Tutorials - novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching (released under a CC-BY license)
Miriam Posner's Tutorials and other curricular materials - detailed tutorials on a range of digital humanities methods and topics, written for students by Miriam Posner, assistant professor at UCLA in the Information Studies department and the Digital Humanities program (all are licensed CC-BY-NC)
Introduction to Cultural Analytics & Python - an online textbook which offers an introduction to the programming language Python that is specifically designed for people interested in the humanities and social sciences (licensed under a Creative Commons BY-NC-SA 4.0 License)

These selected services and resources offer useful information and training for getting started:

HathiTrust Research Center (HTRC) - HTRC enables computational analysis of the HathiTrust corpus, which includes digitized text from more than 17 million volumes contributed to the HathiTrust digital repository by partner research libraries.
The Data-Sitters Club - Using digitized text from Baby-Sitters Club book series as a corpus, this initiative offers a fun way to learn about computational text analysis for digital humanities through numerous descriptive process walkthroughs and candid tool evaluations.