What is a Data Carpentry workshop?
A Data Carpentry workshop is a hands-on training that covers the introductory computational skills needed for data management and analysis in all domains of research. Our lessons are build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. Our initial target audience is learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery.
Short tutorials alternate with practical exercises, and all instruction is done via live coding. A Carpentry workshop is taught by at least one trained and badged instructor. Over the course of the workshop, instructors teach the lesson called "Image processing". This workshop uses Python and a variety of example images to teach the foundational concepts of image processing, and the skills needed to programmatically extract information from image data. The current version of the curriculum was developed from material originally created by Dr. Tessa Durham Brooks and Dr. Mark Meysenburg at Doane College, Nebraska, USA, with support from an NSF iUSE grant. Further development of the curriculum was supported by a grant from the Sloan Foundation/. Curriculum for this lesson in English is available online.