Data Carpentry in R

Beginners

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, analysing 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.

Course materials are available here.

This course is organised in collaboration with ElixirUK and the Software Sustainability Institute.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

• 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 registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
• Further details regarding eligibility criteria are available here

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

Number of sessions: 2

Thinking beyond Excel, Introduction to R, Working with data in R, Working with command line and automation, Bioinformatics, Data handling

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:

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

Presentations, demonstrations and practicals

• Free for registered University of Cambridge students
• £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
• It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
• £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
• £ 100/day for all Industry participants. These charges must be paid at registration
• Further details regarding the charging policy are available here

2

twice per year

• Introduction to R for Biologists (IN-PERSON)