# LC-CAC proposal for curriculum pathways :::info This document is synchronized as you type, so that everyone viewing this page sees the same text. This allows you to collaborate seamlessly on documents. **Use of this service is restricted to members of The Carpentries community**; this is not for general purpose use (for that, try etherpad.wikimedia.org). Users are expected to follow our **[Code of Conduct](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html)**. All content is publicly available under the [Creative Commons Attribution License](https://creativecommons.org/licenses/by/4.0/). ::: ### Core curriculum * Tidy Data (2 hours, 15 minutes) * OpenRefine (3 hours, 20 minutes) * The UNIX shell (4 hours) * Introduction to Git (2 hours, 50 minutes) ### Software development * Introduction to Computational Thinking (1 hour) * The UNIX shell (4 hours) * Introduction to Git (2 hours, 50 minutes) * SQL (5 hours) ### Data analysis * Introduction to Computational Thinking (1 hour) * OpenRefine (3 hours, 20 minutes) * Intro to Python (6 to 7 hours) * OR Intro to R (6 to 7 hours) ### Data wrangling * Tidy Data (2 hours, 15 minutes) * Introduction to Regular Expressions (2 to 3 hours) * OpenRefine (3 hours, 20 minutes) * The UNIX shell (4 hours) ### Data management * Tidy Data (2 hours, 15 minutes) * OpenRefine (3 hours, 20 minutes) * DMP Course for Librarians (2 hours, 20 minutes) * ### Archives & digital libraries * Intro to Data for Archivists (3 hours, 15 minutes) * Intro to AI for GLAM (1 hour) * Tidy Data (2 hours, 15 minutes) * OpenRefine (3 hours, 20 minutes) ### Cataloging & metadata * Tidy Data (2 hours, 15 minutes) * OpenRefine (3 hours, 20 minutes) * SQL (5 hours) * MarcEdit(3 hours, 40 minutes) ### Python path (future): * Intro to Python (6 to 7 hours) * APIs with Python * Web scraping with Python ### Data curation: [Link to data curation primers](https://datacurationnetwork.org/outputs/data-curation-primers/)