Interaction, discussions, questions
Examples are from ecology, but data are tabular (i.e. spreadsheets), which applies to many cases. But not all data are initially tabular (HTS, MS-proteomics, microarrays, ... ) but at some point, after processing, they generally become.
We use sticky notes!
This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.
By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
Q: What is the relative time invested for these steps? What should it be?