Description
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, using a combination of tools with a main focus in R. 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.
Target audience
Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
Please be aware that these courses are only free for University of Cambridge students. All other participants e.g Staff will be charged a registration fee in some form.
Prerequisites
This course is aimed at beginners, no prior knowledge is required
Sessions
2-day course
Topics covered
Thinking beyond Excel, Introduction to R, Working with data in R, Working with command line and automation, Bioinformatics, Data handling
Objectives
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
Aims
After this course you should be able to:
- Retrieve, view, manipulate, analyze and store data in an open and reproducible way
Format