CRUK: Avoiding data disasters New
It has been said that 80% of data analysis is spent on the process of cleaning and preparing the data. Not only does this represent a significant time investment for the data analyst, but is often a hurdle for the non-specialist trying to get to grips with analysing their own data after attending an R or Python course. Despite the best intentions, a spreadsheet that is intuitive and easily-understandable by human eyes can lead to disaster when trying to process computationally.
This workshop will go through the basic principles that we can all adopt in order to work with data more effectively and "think like a computer". Moreover, we will discuss the best practices for data management and organisation so that our research is auditable and reproducible by ourselves, and others, in the future.
This event is part of a series of training courses organized in collaboration with Dr. Mark Dunning at CRUK Cambridge Institute.
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.
No previous experience required
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Mon 5 Dec 2016 12:30 - 16:30 | 12:30 - 16:30 | Room 215, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE | map | Mark Dunning, Valeria Bo, Peter MacCallum, Marta Teperek |
Bioinformatics
After this course you should be able to:
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 in a form amenable for analysis with command-line tools
- Best practices for data management and project management
- Resources available at CRUK C.I. for data backup
- Why you should share data, and associated resources available at the University of Cambridge
Presentations and practicals
- Free for University of Cambridge students
- £ 50/day for all University of Cambridge staff, including postdocs, and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
- £ 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
0.5 days
Several times a year
Booking / availability