In many domains of research the rapid generation of large amounts of data is fundamentally changing how research is done. The deluge of data presents great opportunities, but also many challenges in managing, analyzing and sharing data.
Data Carpentry workshops are designed to teach basic concepts, skills and tools for working more effectively with data. The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools.
Laurent Gatto, University of Cambridge
Audience and Prerequisites
Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals.
Syllabus, Tools and Resources
During this course you will learn about:
- How to use spreadsheet programs (such as Excel) more effectively, and the limitations of such programs
- Getting data out of spreadsheets and into more powerful tools (R)
- Data management and manipulation
- Data visualization
- Workflows and automating repetitive tasks, in particular using the command line shell
After this course you should be able to:
- To retrieve, view, manipulate, analyze and store data in an open and reproducible way