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Data Carpentry



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.



Hugo Tavares, The Sainsbury Laboratory

Laurent Gatto, University of Cambridge

Marco Chiapello, University of Cambridge


Audience and Prerequisites

  • This course is aimed at beginners, no prior knowledge is required
  • 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


Learning Objectives

After this course you should be able to:

  • Retrieve, view, manipulate, analyze and store data in an open and reproducible way



Book Here

Data Carpentry website

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