Data Carpentry
Data Carpentry teaches fundamental computational skills necessary for research. During a hands-on workshop, you will learn how to organize, clean, and query your data using open source tools. You will also learn how to reproducibly analyze and visualize your data using a programming language.
Category(s): Data Analysis and StatisticsResearch and Libraries
Cost:free
Handout: https://lib.ku.edu/data-carpentry
Prerequisites
We highly recommend that you attend any prerequisite workshops listed below since familiarity with the skills and concepts taught in them is essential to benefit fully from subsequent workshops.
However, if you have independently learned the skills and concepts of the required workshop(s), your "equivalent skills" will be accepted as a substitute for attending the prerequisite workshop(s).
To help you determine your skill level, click workshop titles below (if any) for descriptions which outline the topics taught in each workshop and that are assumed in later sessions. You are expected to know the commands and concepts listed within the descriptions for the prerequisite workshop. In most cases, you can also refer to workshop handouts and other helpful materials from the workshop description page.
In addition to any specific prerequisites listed, you should have, as a minimum, basic computing skills.
No prior experience is expected for most Data Carpentry workshops. Individual event registration will indicate what, if any, prerequisite skills are expected.