ElixirUK: Data Carpentry 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, 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.
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
This event is organized in collaboration with Data Carpentry and is sponsored by the HORIZON 2020 TWINNING Project TrainMalta.
Materials for this course can be found here.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Further details regarding eligibility criteria are available here
- Further details regarding the charging policy are available here
This course is aimed at beginners, no prior knowledge is required
Number of sessions: 2
# | Date | Time | Venue | Trainers | |
---|---|---|---|---|---|
1 | Mon 16 May 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Laurent Gatto, Hugo Tavares, Romina Petersen |
2 | Tue 17 May 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Laurent Gatto, Romina Petersen, Hugo Tavares |
- Thinking beyond Excel
- Introduction to R
- Working with data in R
- Working with command line and automation
Presentations, demonstrations and practicals
Two full day sessions
1 time per year
- An Introduction to Solving Biological Problems with R
- Data Manipulation and Visualisation in R
- Statistical Analysis using R
Booking / availability