Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. This is the first workshop at the University of Manchester for the recently released Social Sciences curriculum which was developed by the Cathie Marsh Institute for Social Research in Manchester. It will be held on 19-20th July.
Dates: 19 and 20 July 2018
Time: 10am - 4.30pm
Instructor: Peter Smyth
Fee: No fee
Data carpentry curricula are designed with programming modules in both Python and R, but in any given workshop only one language is taught. In this workshop we will teach the R programming language materials as well as the lessons covering; Data organization in spreadsheets and OpenRefine, SQL for data management, Introduction to R and Basic Analysis and Visualization in R.
Unlike software carpentry, Data carpentry curricula are domain specific. That is, this Social Sciences curriculum has been written around a specific dataset which would be of interest to social scientists and the materials make special mention of issues which social science researchers may encounter when dealing with data.