Data Carpentry provides workshops on fundamental data concepts, with the aim of proving the required skills to get started with modern data analysis.
This workshop uses a collection of results files from a typical lab-based plate-reader, as seen in most life sciences labs.
The workshop primarily involves spreadsheet software (such as Microsoft Excel) and R, but assumes no prior knowledge of the latter. Basic familiarity with spreadsheets is expected.
Note that although the dataset used throughout these lessons is scientific, the ideas and principles explored could easily be applied to other data analysis scenarios outside of a life sciences context.
Day 1 is aimed at a general audience of anyone who uses spreadsheets for their work. The material does not cover how to use a spreadsheet in terms of calculations, loading data, etc, as such knowledge is generally widespread. Instead, the focus is on how to organise and arrange data files and the data within those files, in order to maximise the transparency and reproducibility of your work.
Day 2 is for those who wish to go beyond the use of spreadsheets for their data analysis, with the introduction of R. The basics are covered, leading to the fitting of a 4-parameter logistic regression (4PL) curve to typical enzyme-linked immunosorbent assay (ELISA) data.
To get started, follow the directions in the Setup tab to get access to the required software and data for this workshop.